Overcoming Remote Workforce Cyber Threats: A Comprehensive Ransomware and Bot Net Defense Strategy Utilizing VPN Networks

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(8), P. 161 - 184

Published: July 31, 2024

This study investigates endpoint security strategies for remote workforces utilizing VPN networks, focusing on mitigating ransomware and botnet attacks. A mixed-methods approach was employed, analyzing the effectiveness of existing solutions simulating network segmentation strategies. The highlights enhanced traditional when augmented with advanced technologies specific applications including email filtering to block phishing attempts, MFA verify user identities, EDR systems detect unauthorized access tools, encryption secure data during cloud services. introduction zero-trust architectures further secured centers by limiting lateral movements requiring continuous re-authentication. Results demonstrate that while remain essential, their can be through a multi-layered incorporating this research showing quick response times, high containment efficiency, fast recovery speeds across all segments, Finance Department notably achieving time 5 minutes efficiency 95%. Specifically, our cost-benefit analysis shows Strategy 1, despite higher cost, offers superior improvements in throughput latency reduction, providing more value per dollar spent. These results underscore plan’s capability rapidly detecting, containing, recovering from User education significantly improved cybersecurity awareness reduced susceptibility provides practical recommendations organizations strengthen posture protect workforce combination technologies, proactive measures, education.

Language: Английский

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Evaluating the Trade-offs between Wireless Security and Performance in IoT Networks: A Case Study of Web Applications in AI-Driven Home Appliances

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(8), P. 411 - 432

Published: Aug. 16, 2024

The integration of the Internet Things (IoT) with artificial intelligence (AI) is transforming home appliances into smarter, more responsive tools that enhance daily living. However, this technological fusion introduces significant security challenges, necessitating a careful balance between and performance within IoT networks. First, study answers question trade-offs measures metrics in web applications for AI-driven appliances, second, how can these be optimized to ensure both robust high system performance? Using qualitative content analysis, identified key flaws application architectures, while quantitative analysis assessed impact protocols on such as latency, throughput, CPU usage. Atlas.ti Cisco’s Packet Tracer were utilized thematic coding network simulation, respectively, multivariate regression quantified influences protocols. results revealed enhanced protocols, encryption authentication, significantly performance, increasing latency by an average 50 milliseconds reducing throughput 10% under peak loads. Additionally, usage increased up 75% high-threat scenarios. proposed security-performance optimization framework dynamically adjusts based current threat assessments operational demands, aiming sustain ensuring security. These findings have real-world design implementation offering roadmap manufacturers device without compromising performance. By adopting adaptive leveraging edge computing, improve user satisfaction trust smart technologies.

Language: Английский

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The Applications and Challenges of Digital Twin Technology in Smart Grids: A Comprehensive Review

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(23), P. 10933 - 10933

Published: Nov. 25, 2024

This comprehensive review explores the applications and challenges of Digital Twin (DT) technology in smart grids. As power grid systems rapidly evolve to meet increasing energy demands new requirements renewable source integration, DTs offer promising solutions enhance monitoring, control, optimization these systems. In this paper, we examine concept context grids, their requirements, challenges, integration with Internet Things (IoT) Artificial Intelligence (AI). We also discuss different asset management, system operation, disaster response. paper analyzes current including data interoperability, cost, ethical considerations. Through case studies from various sectors Canada, illustrate real-world implementation impact DTs. Finally, emerging trends future directions, highlighting potential revolutionize networks contribute more efficient, reliable, sustainable

Language: Английский

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Computational Intelligence Based Plant Health Management System

Published: March 4, 2025

Language: Английский

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