Redefining Security With Cyber AI

Redefining Security With Cyber AI

Marwan Omar (Illinois Institute of Technology, USA) and Hewa Majeed Zangana (Duhok Polytechnic University, Iraq)
Indexed In: SCOPUS
Release Date: July, 2024|Copyright: © 2024 |Pages: 296
DOI: 10.4018/979-8-3693-6517-5
ISBN13: 9798369365175|ISBN13 Softcover: 9798369365182|EISBN13: 9798369365199
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Description & Coverage
Description:

In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in complexity and frequency, the integration of AI into cybersecurity frameworks is not just advantageous but essential for maintaining robust and resilient defenses.

Redefining Security With Cyber AI delves into the profound transformation of security paradigms brought about by the advent of AI. This book explores the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Covering topics such as artificial neural networks, intrusion detection, and large language models, this book is an excellent resource for cybersecurity professionals, AI and machine learning researchers, IT executives and managers, policy makers and regulators, postgraduate students and educators, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence (AI)
  • Artificial Neural Networks
  • Cyber Crime
  • Cybersecurity
  • Deep Learning Models
  • Image-Based Attacks
  • Internet of Things (IoT) Security
  • Intrusion Detection
  • Large Language Models
  • Machine Learning
  • Smart Grids
  • Source Code Vulnerability
Reviews & Statements

Redefining Security With Cyber AI uniquely addresses the integration of artificial intelligence with cybersecurity by exploring advanced methodologies like hybrid AI systems for real-time threat detection. By tackling underrepresented topics, this book aligns with the vision of ‘Publishing Tomorrow’s Research Today’ and contributes to the evolving field of digital security.

– Hewa Zangana
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Editor/Author Biographies
Marwan Omar is an accomplished cybersecurity expert and academic, specializing in the intersection of artificial intelligence (AI) and cybersecurity. He currently serves as an Associate Professor of Cybersecurity and AI at the Illinois Institute of Technology, where he leads cutting-edge research on AI security, focusing on the detection and mitigation of advanced cyber threats. Dr. Omar holds multiple advanced degrees, including a PhD in Cybersecurity and a PhD in AI, and has earned numerous industry certifications such as Certified Ethical Hacker (CEH) and SANS Certified Smartphone Forensics Analyst (GASF). His extensive publication record includes books, peer-reviewed journal articles, and conference papers that explore the integration of AI in cybersecurity, with a particular focus on large language models (LLMs) and generalized AI (Gen AI). In addition to his academic pursuits, Dr. Omar is actively involved in industry collaborations and has contributed to numerous high-profile projects aimed at securing AI-driven technologies. His expertise has positioned him as a sought-after advisor and thought leader in the cybersecurity community. As a first-generation American from the Yazidi community in Iraq, Dr. Omar is committed to serving as a beacon of hope and inspiration for underrepresented minorities in STEM fields. His dedication to advancing both the scientific and social aspects of cybersecurity makes him a unique and influential figure in the ongoing dialogue about the future of AI security.
Hewa Majeed Zangana is an Iraqi lecturer and assistant professor in computer science and information technology. He holds a Bachelor's degree from Nawroz University, a Master's degree from the International Islamic University Malaysia, and an Honorary Doctorate from the British Accreditation EB - JAS, and currently studying PhD of ITM at DPU. With expertise in network systems and teaching experience, Hewa has taught various subjects and held positions such as Curriculum Division Director and Head of the Computer Science Department at Nawroz University. He has also published research articles in prestigious journals and presented at conferences.
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