Redefining Security With Cyber AI

Redefining Security With Cyber AI

Pages: 300
DOI: 10.4018/979-8-3693-6517-5
ISBN13: 9798369365175|ISBN13 Softcover: 9798369365182|EISBN13: 9798369365199
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Description & Coverage
Description:
Description:

This publication delves into the intricate world of AI applications within cybersecurity, offering a comprehensive exploration of how artificial intelligence is reshaping the landscape of digital security. It covers foundational AI concepts, their integration into cybersecurity practices, and examines case studies showcasing AI-driven solutions to complex security challenges. The book will address both the technical aspects of AI in cybersecurity, including machine learning models, neural networks, and algorithmic strategies, as well as ethical considerations and future trends.

Impact:

The publication aims to serve as a pivotal resource, enriching the academic and professional discourse on AI in cybersecurity. It will: Offer a fresh perspective by amalgamating Dr. Omar's industry and academic insights, providing readers with a well-rounded understanding of current and future AI applications in cybersecurity. Facilitate a deeper understanding of the practical and theoretical implications of AI in the cybersecurity domain, encouraging further research and innovation. Serve as a catalyst for fostering cross-disciplinary collaborations between AI and cybersecurity professionals, driving forward the development of more robust and intelligent security solutions.

Audience:

The book is tailored for a diverse readership, encompassing: Academic Researchers and Students: For those engaged in cybersecurity and AI, the book provides in-depth knowledge, supporting academic research, teaching, and learning. Cybersecurity Professionals: Practitioners in the field can gain insights into the latest AI strategies and techniques for enhancing security postures. Policy Makers and Industry Leaders: Individuals shaping the future of cybersecurity policy and practice can find valuable information on the implications of AI integration. General Tech Enthusiasts: A broader audience with an interest in AI and cybersecurity can gain a comprehensive understanding of the subject matter, its challenges, and its future trajectory. This approach ensures the book's relevance and utility across various sectors, fostering a broader understanding and appreciation of AI's role in advancing cybersecurity

Coverage:
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Editor/Author Biographies
Dr. Marwan Omar is a renowned figure in the realm of cybersecurity, currently serving as an Associate Professor of Cybersecurity and Digital Forensics at the Illinois Institute of Technology. He earned his Doctorate in Computer Science with a specialization in Digital Systems Security from the Colorado Technical University Institute for Advanced Studies, following a Post-Doctoral Degree in Information Science with a specialization in Cybersecurity from the University of Fernando Pessoa, Porto, Portugal. Dr. Omar's illustrious academic career is dedicated to the applied, industry-relevant domains of cybersecurity, data analytics, machine learning, and the application of AI in cybersecurity and digital forensics. His unique blend of industry experience and a profound commitment to teaching across diverse cultures and geographies sets him apart. Dr. Omar has made significant contributions to the field through a robust research portfolio, as highlighted by his extensive list of publications, which includes books, journal articles, and conference papers that address critical issues in cybersecurity and digital forensics. With over 598 citations to his credit, Dr. Omar's work is widely recognized and respected among academics and industry professionals alike. He is also deeply involved in curriculum development and assessment, ensuring that the next generation of cybersecurity experts is well-equipped to tackle emerging challenges in the field.
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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