Dr. Muhammad Mudassar Yamin is currently working as an Associate Professor at the Department of Information and Communication Technology at the Norwegian University of Science and Technology (NTNU). He is a member of the system security research group, and the focus of his research is on system security, penetration testing, security assessment, and intrusion detection. Before joining NTNU, Mudassar worked as an Information Security consultant and served multiple government and private clients. He holds multiple cybersecurity certifications, such as OSCE, OSCP, LPT-MASTER, CEH, CHFI, CPTE, CISSO, and CBP.  

Weaponized AI for cyber attacks

Artificial intelligence (AI)-based technologies are actively used for purposes of cyber defense. With the passage of time and with decreasing complexity in implementing AI-based solutions, the usage of AI-based technologies for offensive purposes has begun to appear in the world. These attacks vary from tampering with medical images using adversarial machine learning for false identification of cancer to the generation of adversarial traffic signals for influencing the safety of autonomous vehicles. In this research, we investigated recent cyberattacks that utilize AI-based techniques and identified various mitigation strategies that are helpful in handling such attacks. Further, we identified existing methods and techniques that are used in executing AI-based cyberattacks and what probable future scenarios will be plausible to control such attacks by identifying existing trends in AI-based cyberattacks