Category Archives: Computer Science & Engineering

Authors: Khaleel Khan Mohammed

Abstract: Data generation is increasing at an unprecedented pace across industries and the world. The challenge lies not only in storing and managing this massive “big data,” but also in analyzing it to extract meaningful insights. To address this, various methods are employed for data collection, storage, processing, and analysis. This paper provides an overview of the layered architecture of Big Data management and highlights the key challenges within these layers that limit its practical applications across industries. In addition, the study explores different cloud-based architectural models that are designed to support diverse industrial requirements, emphasizing their role in enhancing scalability, flexibility, and efficiency. Furthermore, the paper discusses data migration strategies in detail, outlining how these approaches address the inherent limitations of Big Data systems by enabling seamless transfer, integration, and optimization of data in cloud environments

DOI: http://doi.org/10.5281/zenodo.17339856

Published by: vikaspatanker

Authors: Clifford Godwin Amomo

Abstract: The spread of Internet of Things (IoT)-technologies to domains considered vital to the nation, including energy, health, transport, and industry, has radically altered the cyber-physical environment of the country infrastructure. Nevertheless, the speed of this integration has also created new vulnerabilities that have allowed threat actors to use networked devices to create disruption in the real world. This study explores the way attackers are using IoT ecosystems by hijacking firmware, inappropriate communication protocols, and compromising supply-chain protocols to cause cascading failures through the interdependence of systems. Based on empirical research of significant attacks, such as the Mirai botnet, Triton/Trisis industrial malware, and attacks on municipal water facilities, the paper models the systemic risk of IoT-based cyber-physical manipulation on the basis of real-world data simulations. The study, further, suggests a Cyber-Physical Resilience Framework (CPRF)- an integrated defense and recovery strategy that entails lateral security of firmware lifecycle, network trust zoning, behavioral anomaly detection and incident thresholding. The CPRF is geared to be in line with the current cybersecurity directives of the U.S. such as the NIST SP 800-213, the IoT Cybersecurity Improvement Act (2020), and the National Cybersecurity Strategy (2023). This way, it offers a practical roadmap to developing more resilience against coordinated disruption of the federation, industry, and manufacturing through the use of IoT. Lastly, the paper provides governance and policy guidelines to enhance the national preparedness by interagency coordination and modernizing regulations. This combined strategy highlights the fact that IoT ecosystem security is not a technological requirement, but a strategic need to ensure national stability and continuity of operations.

DOI: https://doi.org/10.5281/zenodo.17617716

 

Published by: vikaspatanker