The remarkable evolution of malware in the past two decades has pushed countries and the entire security industry into a dangerous new realm of Cyber Warfare and Espionage, which revolves around intelligently designed pieces of malicious software that bypass the conventional taxonomies that have defined malware up until now. From Ransomware to Banking Trojans and P2P Botnets to Advanced Persistent Threats (APTs), all such malware have a variety of malicious intent embedded in their behavior. However, the latest iterations of such malware have upped the ante by inflicting catastrophic damage on their targets. The conventional security mechanisms employed by organisations rely on the artifacts from known malware, which are only effective for detection and prevention of previously identified malware. This is why an intelligent, self-learning, and highly-responsive mechanism can replace the conventional tools and techniques. This talk further explores the weaponized code used in cyber warfare and espionage and the AI-based security mechanisms we have developed that can identify, prevent, and further classify the malware, along with identifying the origins of the attack.
Dr Qublai Ali Mirza, is a Senior Lecturer and Program Leader Cyber Security, in the School of Computing and Engineering at University of Gloucestershire. His research interest include; Network Security, Malware Analysis, Network Analytics, Cloud Security, and A.I. He has more than 15 years of experience in software development, network security, and cloud migration, along with experience in higher education in the UK. Qublai has led numerous complex industrial and research projects to their completion. He is currently leading collaboration in AI-based Enterprise Security with large financial, security, and healthcare organisations, locally and internationally.