International Journal of Advanced Digital Systems and Multidisciplinary Studies
International Journal of Advanced Digital Systems and Multidisciplinary Studies (IJADSMS) is a peer reviewed, open access international journal dedicated to the publication of high quality research across advanced digital technologies and multidisciplinary domains. The journal provides a global platform for researchers, academicians, industry professionals, and scholars to share original research, reviews, and innovative applications that contribute to the advancement of knowledge and practice.
Agent AI: Concepts, Applications, and Future Prospects
This paper explores the theoretical underpinnings and practical manifestations of agent-based artificial intelligence, tracing their evolution from early conceptualizations to their contemporary resurgence within advanced AI paradigms. Initially conceived as autonomous programs with persistent states and independent execution threads, agents have evolved significantly, diversifying into various models that offer profound insights into system complexities. This historical trajectory reveals a consistent pattern of agents serving as a crucial bridge between theoretical AI constructs and practical applications, integrating perception, reasoning, and action into cohesive operational structures. The recent integration of large language models has further redefined agent capabilities, thereby enhancing their utility in dynamic and complex environments. This paper examines the methodological advancements, architectural frameworks, and emergent behaviors of AI agents, particularly in the context of their collaborative mechanisms and their potential to drive artificial general intelligence. Specifically, the synergy between traditional agent-based modeling and large language models has yielded a new class of "LLM agents" that exhibit goal-driven behaviors and dynamic adaptation, pushing the boundaries towards artificial general intelligence.
Copyright (c) 2026 International Journal of Advanced Digital Systems and Multidisciplinary Studies
Data Security and Privacy Protection in Cloud Computing Environments
Cloud computing offers a scalable and cost-effective paradigm for data storage and processing, yet it introduces significant challenges concerning data security and privacy, which are paramount for widespread adoption. This is primarily due to the inherent lack of direct control data owners have over their outsourced data, necessitating robust safeguarding against unauthorized access and modifications. The distributed nature of cloud environments, where data can reside across various geographical locations, further exacerbates these concerns, demanding sophisticated data protection techniques beyond traditional security measures. The abstraction of infrastructure and the multi-tenancy models prevalent in cloud architectures introduce complex vulnerabilities, requiring specialized solutions that address the unique threat landscape of these environments. This comprehensive review systematically investigates these challenges, exploring various vulnerabilities from data breaches to unauthorized access, and assessing their impact on user trust and data integrity within cloud infrastructures. Moreover, this paper proposes and discusses effective strategies and solutions aimed at mitigating security risks and safeguarding user privacy in cloud computing, emphasizing cryptographic cloud storage and data anonymization as key mechanisms. The global adoption of cloud computing necessitates a thorough review of the issues, solutions, and future developments related to data privacy and security. This research aims to bridge the existing gaps in understanding and implementing robust security frameworks within cloud ecosystems, particularly focusing on the dynamic landscape of cloud-based services.
The Global Gas Crisis Triggered by the US-Israel-Iran War: Causes, Market Disruptions, and Policy Responses
This paper analyzes the multifaceted causes and profound global implications of a hypothetical gas crisis precipitated by a US-Israel-Iran conflict. It posits that such a regional conflagration in critical energy corridors would generate cascading instability across international energy markets, necessitating proactive multilateral strategies to mitigate severe economic and geopolitical ramifications. Specifically, this study will delve into the intricate relationship between geopolitics and energy supply, a dominant focus within energy security research, to understand how regional conflicts exacerbate market volatility and disrupt supply chains. The strategic importance of natural gas as a critical commodity means its trade is inherently interwoven with national security and diplomatic strategies, making it highly susceptible to disruptions from international hostilities. This geopolitical susceptibility is particularly evident in the context of the Middle East, a region historically characterized by significant political instability that has repeatedly impacted global energy supplies. Future disruptions in this region, especially concerning natural gas, would be particularly critical given its increasing role in the global energy market due to its advantages in pricing, availability, and cleaner profile compared to other fossil fuels.
The Impact of Workload on Employee Performance in Private Organizations
This paper investigates the multifaceted relationship between workload and employee performance within private sector organizations, analyzing how varying workload conditions—ranging from optimal to excessive or insufficient—impact individual productivity, job satisfaction, and overall organizational outcomes. It further explores theoretical frameworks such as the Job Demands-Resources model and Cognitive Load Theory to elucidate the mechanisms through which workload influences performance, considering both its potential to stimulate growth and its propensity to induce burnout and diminished efficacy. The study posits that an imbalance between job demands and available resources often leads to detrimental effects on employee well-being and, consequently, their performance. Specifically, excessive workload has been consistently linked to decreased employee performance, increased stress, and diminished job satisfaction across various organizational contexts. Research indicates a negative correlation between heightened workload and employee productivity, suggesting that as work hours intensify, productivity may paradoxically decline. This is corroborated by findings that illustrate a negative relationship between workload and employee productivity, where higher workloads are associated with reduced performance. Conversely, a balanced workload that aligns with an employee's capabilities and available resources can enhance job satisfaction and subsequently improve performance. This complex interplay necessitates a deeper understanding of perceived workload as a multidimensional construct, shaped by task characteristics, temporal pressures, resource availability, and the broader organizational design.
The Role of 6G Technology in Next-Generation Wireless Communication
This paper examines the pivotal role of Sixth-Generation (6G) technology in shaping the future of wireless communication, addressing the escalating demand for enhanced data rates, reduced latency, and ubiquitous connectivity beyond the capabilities of 5G systems . This evolution necessitates a paradigm shift toward integrating advanced technologies such as terahertz communication, visible light communication, and dynamic spectrum sharing to realize ultra-reliable, high-capacity networks accessible globally. These advancements are integral to fulfilling the ambitious requirements of future communication landscapes, encompassing terrestrial, aerial, and even undersea domains to ensure deep connectivity across diverse operational scenarios. Furthermore, the architectural framework of 6G networks integrates space, terrestrial, aerial, and undersea communication infrastructures to establish a truly interconnected global network. This comprehensive integration aims to meet the escalating future communication requisites by enabling seamless connectivity and unprecedented service capabilities. To this end, key enabling technologies for 6G also encompass ultra-massive multiple-input multiple-output, in-band full-duplex, and advanced waveform designs, all critical for maximizing spectral efficiency and network capacity. Beyond these, 6G is envisioned to incorporate breakthrough concepts such as holographic messaging and quantum communication, pushing the boundaries of what is currently achievable in wireless systems.
The Role of IT Governance in Organizational Performance
This study investigates the multifaceted relationship between IT governance and organizational performance, examining how effective ITG mechanisms contribute to the development of dynamic IT capabilities and ultimately enhance overall business outcomes. It addresses a central question for researchers and practitioners: how information technology governance can help organizations survive and thrive in constantly changing business environments. Specifically, this research delineates how the strategic deployment of IT governance frameworks can cultivate IT resource investment decisions and foster process capabilities that are critical for achieving both IT performance and broader business objectives. The empirical evidence suggests a positive correlation between robust IT governance and observable improvements in organizational performance. This correlation is mediated by the effective management, control, and integration of IT infrastructure, alongside the strategic alignment of IT with business objectives. This strategic alignment, often an elusive goal for many organizations, is crucial for leveraging IT to sustain and extend business value.. To this end, an IT governance audit, utilizing frameworks such as COBIT 2019, becomes indispensable for evaluating a company's capabilities in managing IT changes, identifying managed solutions, and ensuring that IT aligns with overarching strategic objectives.
Transforming Education Through Activity-Based Learning in the Digital Era
This paper investigates the profound impact of integrating activity-based learning methodologies within contemporary digital educational landscapes. It examines how active learning, simulations, and interactive strategies enhance student engagement, motivation, and critical thinking in an increasingly digitalized environment. The study underscores the necessity for educators to leverage digital tools to cultivate dynamic learning experiences that go beyond traditional pedagogical approaches, fostering deeper comprehension and meaningful interaction with subject matter. This approach is particularly vital given the rapid evolution of digital technologies and their transformative impact on educational paradigms, necessitating curricula that embed digital skills and competencies aligned with the demands of the labor market. Furthermore, the emergent pedagogies advocate for nurturing lifelong learning, self agency, and the proficient utilization of diverse tools and resources, all essential attributes for the modern professional. This paper further delves into specific applications of digital transformation and transformative learning practices, demonstrating their capacity to reshape educational delivery and student outcomes within higher education.
Digital Arrest Scams in Bihar: Cybercrime and Legal Challenges
This paper examines the emerging phenomenon of "digital arrest" scams within Bihar, India, analyzing their modus operandi, the vulnerabilities they exploit, and the significant legal and enforcement challenges posed by this sophisticated form of cybercrime. It delves into the intricacies of these scams, where perpetrators impersonate law enforcement or government officials to coerce victims into making financial transactions under the threat of fabricated legal action. The discussion will further explore the broader context of cybercrime in India, noting the exponential growth in such activities and the subsequent challenges in prediction and prevention. The rapid digitization across India has inadvertently amplified the incidence of cybercrimes, necessitating a comprehensive analysis of the existing legislative frameworks and law enforcement capabilities to effectively counter these evolving threats. This paper aims to elucidate the specific challenges Bihar faces in combating digital arrest scams, considering both the technical complexities of tracing digital footprints and the socioeconomic factors that make its population particularly susceptible to these deceptive schemes.
Cyber Law and Digital Governance in India: Challenges and Emerging Trends
This paper provides a comprehensive analysis of the intricate landscape of cyber law and digital governance within India, exploring the multifaceted challenges and dynamic emerging trends shaping the nation's digital future. It delves into the legal frameworks, policy gaps, and technological advancements impacting data protection, cybersecurity, and citizen privacy in the context of India's rapidly expanding digital ecosystem. Specifically, it examines the escalating prevalence of cybercrime and the complexities associated with electronic evidence, alongside the constitutional implications of digital rights and the imperative for robust cybersecurity measures in an era of e-governance. Furthermore, this study evaluates the evolving regulatory responses to these challenges, including discussions around parliamentary oversight for new provisions and alternative investigative mechanisms that respect fundamental rights. The analysis underscores the critical need for a multistakeholder approach to address vulnerabilities in digital infrastructure and safeguard democratic institutions against escalating cyber threats.
SIM Box Fraud in India: Emerging Trends, Detection Mechanisms, and Regulatory Challenges
This paper investigates the burgeoning issue of SIM Box fraud within the Indian telecommunications landscape, analyzing its evolving methodologies, sophisticated detection techniques, and the significant regulatory hurdles impeding effective mitigation. It delves into how these fraudulent operations, often involving the diversion of international voice calls through Voice over IP networks to terminate as local calls using specialized SIM box devices, inflict substantial financial losses on telecom operators, estimated to be billions of dollars annually [1]. Beyond direct revenue loss, this bypass fraud also significantly degrades customer experience through issues like poor voice quality, increased latency, and incorrect caller ID information [2]. Furthermore, SIM box fraud presents critical national security concerns, as evidenced by instances where such illegal setups have been exploited for espionage and to mask the origins of malicious communications [3]. This paper aims to provide a comprehensive analysis of the technical underpinnings of SIM Box fraud, the innovative detection mechanisms employed to counteract it, and the complex regulatory framework within India that either facilitates or hinders its proliferation, ultimately proposing strategic recommendations for enhanced countermeasures [4].
Problem-Based Learning in the Digital Era :Enhancing Student Engagement and CriticalThinking
The rapid digital transformation of education has necessitated pedagogical innovations capable of fostering critical thinking, engagement, and problem-solving competencies among modern learners. Problem-Based Learning (PBL), grounded in constructivist theory, offers a student-centered framework where authentic problems drive knowledge construction and collaborative learning. This study investigates the impact of digitally integrated PBL on student engagement and critical thinking development within contemporary educational environments. Employing a mixedmethods approach, the research combines quasiexperimental quantitative assessments with qualitative feedback from surveys and focus group discussions to evaluate cognitive and experiential learning outcomes. Findings indicate statistically significant improvements in critical thinking performance and problem-solving abilities among students exposed to digitally augmented PBL environments, particularly through the use of simulations, virtual laboratories, and interactive learning platforms. Qualitative insights further reveal increased motivation, deeper conceptual understanding, and enhanced collaborative participation compared to traditional instructional approaches. The study underscores the synergistic value of integrating digital tools with problem driven pedagogy in cultivating higher-order cognitive skills and sustaining learner engagement. It concludes that digitally enhanced PBL represents a transformative instructional strategy capable of addressing the demands of 21st-century education, especially in remote and technology-mediated learning contexts.
Digital Transformation of Education through Problem-Based Learning: Models, Applications, andOutcomes
This paper explores the integration of problem-based learning within the digital transformation of educational frameworks, examining various models, their practical applications, and the resulting educational outcomes. It analyzes how this pedagogical approach, which emphasizes student-centered learning through real-world problems, is being adapted to virtual environments to foster higher-order thinking skills and prepare students for complex, evolving challenges. Specifically, this study investigates how universities are leveraging digital tools to implement ProblemBased Learning in ways that were previously unfeasible in traditional face-to-face settings, thereby enhancing learning engagement and knowledge acquisition. The paper further delves into the challenges and opportunities presented by this digital shift, highlighting how successful implementation requires a deep understanding of both pedagogical principles and technological capabilities to facilitate meaningful learning experiences. This exploration extends to the impact of digital PBL on critical employability skills, such as critical thinking and problem-solving, which are crucial for preparing graduates for dynamic industry needs. Ultimately, the paper aims to delineate a comprehensive understanding of how digitally-transformed PBL not only enhances academic competencies but also cultivates essential professional attributes necessary for navigating the complexities of the modern workforce.
New Criminal Laws and Citizen Rights: Opportunities and Concerns in India
The recent overhaul of India's criminal justice system, marked by the introduction of the Bharatiya Nyaya Sanhita, Bharatiya Nagarik Suraksha Sanhita, and Bharatiya Sakshya Adhiniyam, represents a significant paradigm shift intended to modernize and streamline legal procedures. This comprehensive legislative reform aims to replace colonial-era statutes with laws more attuned to contemporary societal needs and constitutional values. Specifically, the Bharatiya Nyaya Sanhita of 2023 supersedes the Indian Penal Code of 1860, introducing substantial modifications to the country's primary penal law. This new Sanhita, while intended to reduce redundancy and update legal frameworks, has introduced 21 new crimes, extended imprisonment durations for 41 offenses, and increased fines for 82 crimes, alongside implementing minimum punishments for 25 specific infractions. This extensive revision necessitates a critical examination of its congruent and divergent features when compared to the Indian Penal Code of 1860, as well as relevant judicial developments, to assess its potential impact on citizen rights. The transition to the Bharatiya Nyaya Sanhita 2023 from the Indian Penal Code of 1860 signifies a profound transformation in India's legal landscape, necessitating careful scrutiny of its implications for fundamental rights.
Problem-Based Learning in Higher Education: Pedagogical Impact and Implementation Strategies
Problem-Based Learning (PBL) has emerged as a transformative pedagogical approach in higher education, emphasizing student-centered engagement, critical thinking, and real-world problem-solving competencies. This study examines the pedagogical impact and implementation strategies of PBL within diverse academic contexts by synthesizing existing literature and identifying practical challenges associated with its adoption. The paper highlights how PBL fosters higher-order cognitive skills, collaboration, and interdisciplinary learning while preparing students for professional environments. However, institutional resistance, faculty readiness, curriculum design complexities, and student adaptation issues often hinder effective implementation. Through an analytical review of methodological frameworks and assessment practices, the study underscores the importance of balanced integration between problem-driven inquiry and foundational content coverage. Findings suggest that structured scaffolding, welldesigned problem scenarios, faculty training, and innovative evaluation mechanisms significantly enhance learning outcomes and mitigate implementation barriers. The paper concludes that while PBL may not universally replace traditional instructional models, its phased and strategically supported adoption offers substantial pedagogical value in cultivating adaptive, self-directed learners suited for contemporary educational and professional demands.
Intelligent Hybrid Android Malware Detection through Static, Dynamic, and Machine Learning Analysis
The rapid expansion of the Android ecosystem, combined with its open-source architecture and fragmented security controls, has significantly increased exposure to sophisticated mobile malware threats. Conventional detection approaches relying solely on static or dynamic analysis often fail to provide comprehensive protection due to limitations such as vulnerability to code obfuscation, high computational overhead, and reduced effectiveness against zero-day attacks. This study proposes an intelligent hybrid Android malware detection framework that integrates static code analysis, dynamic behavioral monitoring, and machine learning techniques to improve detection accuracy and robustness. Static features—including permissions, API calls, and opcode sequences—are combined with dynamic features such as system calls, network activity, and memory usage to form a unified feature representation. Multiple classification models, including Support Vector Machines, Random Forests, XGBoost, Convolutional Neural Networks, and Long Short-Term Memory networks, are employed to evaluate detection performance. The hybrid feature fusion strategy aims to leverage complementary analytical strengths while minimizing false positives and negatives. Experimental evaluation using benchmark datasets such as Drebin, AndroZoo, and CICMalDroid demonstrates the effectiveness of the proposed approach in enhancing classification reliability while addressing computational trade-offs. The findings highlight the potential of hybrid intelligent systems to provide scalable and resilient defenses against evolving Android malware, offering valuable insights for future secure mobile application ecosystems.
Digital vs. Reality: Examining the Impact of Social Media on Student Behavior
This study investigates the multifaceted influence of social media platforms on student behavior, encompassing academic performance, digital well-being, and social interactions within contemporary educational landscapes. It employs a mixed-methods approach to analyze current patterns of social media utilization among diverse student populations and assess their correlations with various behavioral outcomes, aiming to provide a comprehensive understanding of this pervasive digital phenomenon. The research delves into both the potential benefits, such as enhanced communication and collaborative learning, and the prevalent detriments, including academic distraction, diminished well-being, and altered social dynamics, to formulate evidence-based recommendations for fostering a more balanced digital engagement among students. Ultimately, this paper seeks to bridge existing research gaps by offering nuanced insights into the intricate interplay between digital immersion and student development, thereby informing pedagogical strategies and policy initiatives. This comprehensive understanding of social media's impact is crucial for educators and policymakers alike to navigate the challenges and opportunities presented by digital platforms in the educational sphere.
Cybercrime Incidents and Public Awareness: A Regional Analysis of Bihar
This paper provides an in-depth analysis of cybercrime trends and public awareness levels within Bihar, examining regional disparities and the efficacy of current mitigation strategies. It investigates the socio-technical factors contributing to cyber vulnerabilities among the populace and evaluates the effectiveness of various awareness campaigns in fostering resilient digital practices. The research further explores the demographic variations in susceptibility to cyber threats, particularly focusing on the impact on vulnerable populations such as women and youth, given the increasing digital penetration across diverse socioeconomic strata. This regional analysis aims to identify specific prevalent cybercrime typologies in Bihar, including cyber blackmailing, cyber pornography, cyber stalking, defamation, and the creation of fake profiles, particularly those targeting women. This includes an examination of the various forms of cyber offenses against women, highlighting significant divergences in their occurrence across different regions within Bihar.
Cloud Computing Security Frameworks: Addressing Emerging Cyber Threats
This paper critically examines the efficacy of current cloud security frameworks in mitigating advanced persistent threats, data breaches, and insider threats within dynamic cloud environments. It evaluates how well these frameworks, such as ISO/IEC 27001, FedRAMP, and SOC 2, align with the Cloud Security Alliance's benchmarks for addressing prevalent cloud vulnerabilities. Furthermore, the research delves into the adaptability of these frameworks to novel attack vectors and their capacity to ensure regulatory compliance in a multitenant cloud infrastructure. It further investigates the societal impact of these cyberattacks, proposing general preventive measures and advocating for policy changes to enhance public awareness and safeguard cloud services. This study also undertakes a comparative analysis of established security frameworks like COBIT 5, NIST, and ISO, alongside cloud specific methodologies such as CSA STAR and AWS Well Architected Framework, to identify their respective strengths and limitations in addressing the unique security challenges presented by cloud computing.
Blockchain Security Architecture, Platforms, and Applications: A Comprehensive Review
Blockchain technology has emerged as a transformative paradigm for secure, decentralized data management across diverse domains, extending far beyond its origins in cryptocurrency. Despite its inherent attributes of decentralization, transparency, and immutability, the rapid evolution and widespread deployment of blockchain systems have introduced complex security challenges that demand systematic investigation. This paper presents a comprehensive review of blockchain security architecture, platforms, and applications through a structured analysis of existing literature. It examines the layered security model encompassing data, network, consensus, incentive, smart contract, and application layers, identifying critical vulnerabilities and attack vectors such as 51% attacks, Sybil attacks, smart contract exploits, and network-level threats. The study further evaluates major blockchain platforms— including public, private, and consortium models— highlighting their security mechanisms, trade-offs, and suitability for different use cases. Additionally, the review explores real-world applications in finance, healthcare, supply chain, IoT, and digital ownership, emphasizing domain-specific security implications and mitigation strategies. By synthesizing findings across multiple research dimensions, this work identifies prevailing challenges, emerging trends, and research gaps, underscoring the need for enhanced cryptographic methods, secure development practices, and governance frameworks. The paper contributes a holistic understanding of blockchain security and provides insights to guide future research toward building resilient and trustworthy blockchain ecosystems.
Cell Phone Theft and IMEI Manipulation: Detection,Prevention, and Legal Implications
This paper explores the multifaceted issues surrounding cell phone theft and the illicit manipulation of International Mobile Equipment Identity numbers, which serve as unique identifiers for mobile devices. The International Mobile Equipment Identifier is a critical component for identifying mobile devices globally, akin to a serial number, and is factory-assigned, stored in the device's firmware, and transmitted during network authorization. Despite its intended permanence, the IMEI can be illegally altered or cloned, facilitating the resale of stolen devices and complicating efforts to track and recover them. This paper delves into the technological vulnerabilities that enable such manipulation, the sophisticated methods employed by perpetrators, and the consequential challenges faced by law enforcement and network providers in combating this evolving threat. Furthermore, it examines the current strategies for detection and prevention, including the role of centralized databases like the Central Equipment Identity Register in blacklisting stolen devices and the continuous efforts by manufacturers to enhance tamper-proof IMEI storage. The discussion extends to an analysis of the legal frameworks and international collaborations aimed at mitigating the impact of cell phone theft and IMEI manipulation, offering insights into policy gaps and potential areas for reform.
Blockchain Technology: Architectures, Security Challenges, and Emerging Applications
This paper presents a comprehensive review of blockchain technology, encompassing its fundamental architectural designs, prevalent security challenges, and burgeoning application domains. It delineates the intricate layered structure of blockchain, providing a foundational framework for understanding its operational complexities and vulnerabilities. Furthermore, it explores how various security threats can undermine the integrity and reliability of blockchain systems, offering a novel taxonomy for classifying existing research on vulnerability detection within this rapidly evolving technological landscape. It also provides an in-depth analysis of prominent attack vectors encountered within the blockchain ecosystem, accompanied by an exploration of existing defense mechanisms and a discussion of future research directions to enhance system robustness. This comprehensive analysis aims to dissect the intricate ecosystem of blockchain, offering readers a nuanced understanding of its multifaceted security landscape.
Cybercrime and Digital Awareness: Media Influence and Public Behavior in India Through Structural Equation Modeling
The rapid expansion of digital technologies in India has significantly increased citizens’ exposure to cybercrimes, making digital awareness a critical concern. While technical safeguards continue to evolve, human behavior and perception remain central to effective cybersecurity. This study examines the role of media in shaping public awareness, risk perception, and protective behavior related to cybercrime in the Indian context. Using a structured questionnaire and applying Structural Equation Modeling (SEM), the research analyzes the relationships among media exposure, perceived cyber risk, self-efficacy, digital awareness, and cybersecurity practices. The findings reveal that media plays a significant role in enhancing cybercrime awareness and indirectly influences safe online behavior through perceived risk and self-efficacy. The results highlight that increased awareness alone is insufficient unless accompanied by confidence in one’s ability to respond to cyber threats. This study contributes to existing literature by integrating media influence and behavioral factors into a unified empirical model. The outcomes provide valuable insights for policymakers, educators, and cybersecurity professionals to design more effective awareness campaigns and public education programs aimed at strengthening digital resilience and promoting safer online behavior among citizens in India.
Enhancing Reliability and Security in Resource-Constrained IoT Networks A Middleware-Centric Approach
The ubiquitous deployment of Internet of Things devices, particularly within resource-constrained environments, necessitates the development of robust solutions that effectively address both reliability and security challenges. This paper proposes a novel middleware-centric architectural framework designed to enhance the inherent limitations of such networks concerning computational power, memory, and energy. Our approach integrates comprehensive security and trust mechanisms directly into the middleware layer, emphasizing decentralized authentication, granular access control, and the judicious use of secure protocols to counter various cyber threats. Concurrently, the proposed middleware incorporates strategies aimed at bolstering system reliability through optimized energy-efficient operations and resilient service embedding. The methodology details the design principles, outlines critical implementation considerations, and presents a rigorous performance evaluation framework. This framework includes both simulation-based analyses and real-world testbed experiments, designed to validate the middleware's efficacy in improving data integrity, confidentiality, availability, and overall system resilience, crucially without compromising the operational efficiency imperative for constrained IoT devices. This work significantly contributes to bridging the persistent gap between severe resource limitations and the critical demand for secure and dependable IoT deployments.
Impact of OS Patch Management on Cybersecurity Risk Reduction
Most of us try to train our body, eat directly, wash our hands and hold our hands healthy - habits that prevent viruses and diseases from going beyond our immune system. A well lap management program works in a similar way. Lapping reduces the number of vectors in the attack that can compromise infrastructure and data, effectively keep the digital environment of an organization healthy. Cyber-attacks in headings are almost daily, and unpublished weaknesses are still a great risk. In 2024, unexpected software was used in about 25% of reported violations. In addition, the use of weaknesses as a vector of primary attacks on time -time increased by more than 180%, revealing the growing press with timely patching.
Copyright (c) 2025 International Journal of Advanced Digital Systems and Multidisciplinary Studies
Optimizing File System Access Time through Intelligent Caching
File systems form the foundation of modern computing, yet data access latency remains a persistent performance bottleneck. While processors continue to advance rapidly, storage access speeds have not kept pace, leading to delays that directly affect application responsiveness. Traditional caching techniques such as Least Recently Used (LRU) and Least Frequently Used (LFU) offer limited benefits in dynamic and unpredictable workloads because they rely on fixed heuristics. This work presents an intelligent caching approach that continuously observes file access patterns and uses predictive models to anticipate future data requests. By dynamically adapting cache contents and size based on real-time workload characteristics, the proposed system prioritizes frequently and imminently accessed data, thereby reducing access latency and improving cache hit ratios. Experimental observations on synthetic workloads indicate that intelligent caching significantly outperforms conventional caching strategies in terms of average access time and adaptability, particularly under mixed and changing workloads. The study also discusses implementation considerations, overhead challenges, and real-world applicability, highlighting intelligent caching as a promising solution for next-generation file system performance optimization.
Impact of OS Design on Game Development and Performance
The design of an operating system (OS) plays an important role in the design of modern video game performance, responsibility and scalability. Skilled management of the OS level of resources such as CPU planning, memory allocation and I/O handling directly affects the framework, delay and total lubrication of gameplay. This article suggests how the OS architecture affects both gaming development and user experience by examining factors such as accountability, texture, fault tolerance and scalability in the multiplayer environment. This emphasizes the importance of OS functions such as process planning, thread management and compatibility with modern graphics -APIs that enable stable and merging gaming experiences. In addition, interaction between the OS-level design and play architecture is analyzed, especially distributed systems and in areas such as cloud-based games. Emerging technologies such as Virtual Reality (VR), Enhanced Reality (AR) and Massive Online Platforms are developing, the optimization of the OS design is becoming increasingly important. The study concludes that the deep understanding of the OS interns is necessary for developers to create high performance, resource-developed and reliable game applications.