AI-Driven Security Systems and Intelligence Threat Response Using Autonomous Cyber Defense DOI
Salam Al-E’mari, Yousef Sanjalawe,

Fuad Fataftah

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 35 - 78

Published: April 23, 2025

The expanding cyber threat landscape has compelled organizations to adopt AI-driven security systems for robust defense against sophisticated attacks. This chapter explores artificial intelligence in cybersecurity, emphasizing its role intelligent detection, analysis, and response. AI models, including supervised unsupervised learning, deep reinforcement have redefined cybersecurity by enabling behavior-based anomaly detection automated mitigation. Key discussions highlight autonomous making real-time decisions, leveraging adaptive control loops, employing self-healing mechanisms resilience. also examines challenges operational scalability, ethical implications of automation, the necessity human oversight decision-making. findings underscore need synergy between automation expertise foster an intelligent, ecosystem.

Language: Английский

A review on challenges and future of green charging networks for zero emission electric transportation DOI Creative Commons
Ijaz Ahmed, Muhammad Maaruf, Amjad Ali

et al.

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100867 - 100867

Published: Jan. 1, 2025

Language: Английский

Citations

0
A Review of Multi-Robot Systems and Soft Robotics: Challenges and Opportunities DOI Creative Commons
Juan C. Tejada, Alejandro Toro-Ossaba, A. López-González

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(5), P. 1353 - 1353

Published: Feb. 22, 2025

This review investigates the latest advancements in Multi-Robot Systems (MRSs) and soft robotics, with a particular focus on their integration emerging opportunities. An MRS extends principles from distributed artificial intelligence coordination frameworks, enabling efficient collaboration robotic applications such as object manipulation, navigation, transportation. Soft robotics employs flexible materials biomimetic designs to improve adaptability unstructured environments, manufacturing, sensing, actuation, modeling. Unlike previous reviews, which often address these fields independently, this work emphasizes integration, identifying key challenges nonlinear dynamics, hyper-redundant configurations, adaptive control. discusses recent locomotion, coordination, simulation, offering insights into development of collaborative systems across diverse applications.

Language: Английский

Citations

0
AI-Driven Security Systems and Intelligence Threat Response Using Autonomous Cyber Defense DOI
Salam Al-E’mari, Yousef Sanjalawe,

Fuad Fataftah

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 35 - 78

Published: April 23, 2025

The expanding cyber threat landscape has compelled organizations to adopt AI-driven security systems for robust defense against sophisticated attacks. This chapter explores artificial intelligence in cybersecurity, emphasizing its role intelligent detection, analysis, and response. AI models, including supervised unsupervised learning, deep reinforcement have redefined cybersecurity by enabling behavior-based anomaly detection automated mitigation. Key discussions highlight autonomous making real-time decisions, leveraging adaptive control loops, employing self-healing mechanisms resilience. also examines challenges operational scalability, ethical implications of automation, the necessity human oversight decision-making. findings underscore need synergy between automation expertise foster an intelligent, ecosystem.

Language: Английский

Citations

0