As artificial intelligence advances, it continues to revolutionize every field, including digital forensics. In an era where cybercrime is sophisticated and data breaches are common, digital forensics plays a crucial role in uncovering evidence, solving crimes, and ensuring justice. The integration of AI technologies into digital forensic investigations has enhanced the ability to analyze data quickly and accurately, uncover hidden patterns, and track complex digital footprints. However, this technological evolution also presents new challenges, as AI can both assist criminals in covering their tracks and introduce ethical dilemmas regarding privacy and data security. Navigating the intersection of digital forensics and AI requires cutting-edge tools and further understanding of the potential risks and opportunities they bring. Digital Forensics in the Age of AI explores the rapidly evolving intersection of deep learning and cybersecurity, offering in-depth analysis on how AI-driven techniques are being used to address complex security challenges. It provides a comprehensive view of the current research landscape while identifying emerging trends, cutting-edge methodologies, and practical applications of deep learning in cybersecurity. This book covers topics such as fraud detection, cybercrime, and Internet of Things, and is a useful resource for computer engineers, security professionals, business owners, academicians, researchers, and scientists.
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 Assistant Professor currently affiliated with Duhok Polytechnic University (DPU) in Iraq. He holds a Doctorate in Philosophy (PhD) degree in ITM, which he is currently pursuing at DPU. Prior to his current role, Hewa Majeed Zangana has held various academic and managerial positions. He previously served as an Assistant Professor at Ararat Private Technical Institute and a Lecturer at DPU's Amedi Technical Institute, and Nawroz University. He has also held administrative positions such as Curriculum Division Director - Presidency of DPU, Information Unit Manager of The Research Center at Duhok Polytechnic University, Head of the Computer Science Department at Nawroz University, and Acting Dean of the College of Computer and IT at Nawroz University. Hewa Majeed Zangana's research interests span a wide range of topics in computer science, including network systems, information security, mobile communication, data communication, and intelligent systems. He has published extensively in peer-reviewed journals such as IEEE, EAI, IGI-Global, Inform, Indonesian Journal of Education and Social Science, TIJAB, INJIISCOM, and AJNU. In addition to his research contributions, Hewa Majeed Zangana has been actively involved in editorial roles such as Editorial Board Member at Applied and Computational Engineering (ewapublishing.org), serving as a Reviewer for the Scientific Journals of Nawroz University. He has also been a member of various scientific committees and administrative bodies at Nawroz University, including the Scientific Curriculum Development Committee, the Student Follow-up Program Committee, and the Committee for the Preparation of the Rules of Procedure for Consultative Offices.
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