Computational Intelligence Based Plant Health Management System DOI

T. Akila,

N. Sudhakaran,

D. Vishnusakthi

и другие.

Опубликована: Март 4, 2025

Язык: Английский

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

Olumide Samuel Ogungbemi,

Favour Amarachi Ezeugwa,

Oluwaseun Oladeji Olaniyi

и другие.

Journal of Engineering Research and Reports, Год журнала: 2024, Номер 26(8), С. 161 - 184

Опубликована: Июль 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.

Язык: Английский

Процитировано

5

Evaluating the Trade-offs between Wireless Security and Performance in IoT Networks: A Case Study of Web Applications in AI-Driven Home Appliances DOI Open Access
Christopher Uzoma Asonze,

Olumide Samuel Ogungbemi,

Favour Amarachi Ezeugwa

и другие.

Journal of Engineering Research and Reports, Год журнала: 2024, Номер 26(8), С. 411 - 432

Опубликована: Авг. 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.

Язык: Английский

Процитировано

4

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

Nabil Mchirgui,

Nordine Quadar, Habib Kraiem

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(23), С. 10933 - 10933

Опубликована: Ноя. 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

Язык: Английский

Процитировано

4

Computational Intelligence Based Plant Health Management System DOI

T. Akila,

N. Sudhakaran,

D. Vishnusakthi

и другие.

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0