Artificial Intelligence in Cyber Security: Impact and Implications

Dr. Reza Montasari is Senior Lecturer in Cyber Threats at the Hillary Rodham Clinton School of Law. Reza’s main research interests lie in the areas of digital forensics and cyber security but also include cyber law and cyber terrorism. Reza has authored numerous journal articles, conference papers, book chapters and media articles and recently co-edited a volume (with Springer) entitled “Digital Forensic Investigation of Internet of Things (IoT) Devices”. He frequently presents at various conferences including the annual International Conference on Global Security, Safety & Sustainability (ICGS3). Reza has also given a number of invited talks including his recent presentation at the College of Policing and The Investigator Spring National Digital Media Investigator’s (DMI) Conference (Oxford, UK., 2019). Reza serves as Editorial Board Member, Programme Steering Committee Member and Reviewer for a number of leading international journals and conferences in the fields of digital forensics and cyber security. He has previously worked with a number of UK police forces. Reza is also Guest Writer for Today’s Legal Cyber Risk to provide advice on the latest cyber security issues.Professor Hamid Jahankhani has taught at both the undergraduate and postgraduate level, full and part-time and supervised and examined research students at the M.Phil., Ph.D. levels and Doctorate in Professional Studies (DProf). Hamid’s teaching has covered a broad range of computing modules in particular information security management, information security risk and audit, digital forensics, systems design & development, telecommunications and networking and computer systems. Hamid’s principal research area for a number of years has been in the field of information security management and digital forensics.

• 1. Artificial Intelligence for Cyber Security: Principles and Paradigms.- 2. Cognitive Technologies and Artificial Intelligence in Cyber Security.- 3. Artificial Intelligence and Machine Learning Tools for Cyber Defence Operations.- 4. Machine Learning against Cyber Terrorism: Detecting Modified Terrorist Content Online.- 5. Combating Cybersecurity Kill Chain: Moving to a Proactive Security Model.- 6. Decoding Encrypted Data Using Deep Neural Networks.- 7. Socio-Technical Security: User Behaviour, Profiling and Modelling and Privacy by Design.- 8. Artificial Intelligence-Enabled Authentication and Associated Security Implications.- 9. Attacking Artificial Intelligence: Security Vulnerability and Proposed Countermeasures.- 10. Intelligent Security: Applying Artificial Intelligence to Detect Advanced Cyber Attacks.