Application of Large Language Models (LLMs) for Software Vulnerability Detection. This item is unavailable.Application of Large Language Models (LLMs) for Software Vulnerability Detection

Large Language Models (LLMs) are redefining the landscape of cybersecurity, offering innovative methods for detecting software vulnerabilities. By applying advanced AI techniques to identify and predict weaknesses in software code, including zero-day exploits and complex malware, LLMs provide a proactive approach to securing digital environments. This integration of AI and cybersecurity presents new possibilities for enhancing software security measures. Application of Large Language Models (LLMs) for Software Vulnerability Detection offers a comprehensive exploration of this groundbreaking field. These chapters are designed to bridge the gap between AI research and practical application in cybersecurity, in order to provide valuable insights for researchers, AI specialists, software developers, and industry professionals. Through real-world examples and actionable strategies, the publication will drive innovation in vulnerability detection and set new standards for leveraging AI in cybersecurity.

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. He has also held administrative positions such as Curriculum Division Director - Presidency of DPU, 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. In addition to his research contributions, Hewa Majeed Zangana has been actively involved in editorial roles. He has also been a member of various scientific committees and administrative bodies at Nawroz University.