Ai-driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense - Couverture souple

Couverture souple

ISBN 13 : 9798337309552

Editeur : Information Science Reference, 2025

Synopsis

AI-driven security systems and intelligent threat response using autonomous cyber defense represent the cutting edge of cybersecurity technology. As cyber threats become more sophisticated, traditional defense mechanisms struggle to keep up with the scale and speed of attacks. AI-powered security systems utilize machine learning, pattern recognition, and data analysis to detect vulnerabilities, predict breaches, and respond to threats. These systems can learn from emerging threats, adapting to new attack methods and autonomously executing countermeasures without human intervention. By using advanced algorithms to recognize anomalies and mitigate risks, autonomous cyber defense offers a proactive solution to protect sensitive data and networks, ensuring faster responses to cyber incidents. AI-Driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense delves into the cutting-edge integration of autonomous systems in cybersecurity, emphasizing AI-driven threat detection, response, and system resilience. It bridges the gap between traditional cybersecurity methods and emerging autonomous defense systems, presenting in-depth coverage of AI-driven security mechanisms, automated threat responses, and intelligent defense strategies. This book covers topics such as cybersecurity, infrastructure, and defense systems, and is a useful resource for engineers, security professionals, business owners, academicians, researchers, and computer scientists.

A propos du livre

À propos des auteurs

Mohammad Alauthman is an Associate Professor in the Information Security Department at the Faculty of Information Technology, University of Petra, Amman, Jordan. His research interests include network security, intrusion detection systems, and applying AI techniques―such as machine learning and deep learning―for botnet and DDoS detection, spam filtering, IoT security, and network traffic classification. He earned his Ph.D. in Computer Science from Northumbria University, UK, in 2016. Dr. Alauthman has received multiple research grants supporting advanced AI-driven intrusion detection systems and international collaboration. He is also actively involved in Erasmus+ projects, including BITTCOIN-JO (technology transfer), RL4Eng (remote engineering labs), Pro-GREEN LABs (green competences in education), and COMMO (mobility and cooperation across Mediterranean and Balkan institutions), contributing to innovation, sustainability, and cross-border academic development.

Ammar Almomani is an Internet Infrastructures Security and Cybersecurity based on AI specialist with a Ph.D. Degree in Computer Science from Universiti Sains Malaysia (USM), which is ranked #142 in the QS World University Rankings 2021. He is recognized as One of the Top 2% of Global Influential Researchers by Stanford University and the Scopus Index-Oct-2023. His academic background also includes a Master of Science in Computer Information Systems and a Bachelor of Computer Science. He has an extensive publication record, with over 113+ articles published in reputable journals and conferences, most of them in Scopus Q1 and Q2 categories, and 8 patents and utility models published as six German utility models and Two India-grated patents. More than 21 articles and patents are under revision. He has significant experience in 20 years of teaching more than 42 topics with various subjects related to cybersecurity and Cybersecurity Engineering area such as “Network Security, Wireless Computer Networks security, Cryptography, Cloud computing, and security special topics (Ethical hacking) Enterprises Information System Security, Big data analytics, artificial intelligence, cybersecurity, networks, communications, and programming languages. with many international certificates. He taught at reputable 5 academic institutions, Supervising many undergraduate and postgraduate students' research projects and theses (Masters/Ph.D.) from many countries such as the UK, Malaysia, Jordan ..etc. As a cybersecurity and Internet infrastructure security specialist, he actively contributed to the field by managing AI and cybersecurity projects with international teams of top researchers and universities. He has authored 76 Scopus articles, H-index-20, 1380 citations, and garnered over 2,762 citations on Google Scholar, with an H-index of 27. Also he actively engaged in the academic community, with a strong online presence and a large readership and following on ResearchGate with about 89390 readers and followers. Currently working at Faculty - Computer Information Science, Higher Colleges of Technology, Sharjah, UAE. He has Five years of management experience with a UAE Golden Visa Holder, and my focus is on improving educational institutes. Moreover, he has made significant contributions to the development of courses and programs, including ABET and AACSB Accreditation

Détails de l'édition

• Éditeur: Information Science Reference
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798337309552
• Reliure: Broché
• Nombre de pages: 666
• Éditeur: Alauthman Mohammad, Almomani Ammar
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible