Mamoun Alazab Editor & Author

Tony Thomas is an associate professor at the Indian Institute of Information Technology and Management, Kerala (IIITM-K), India. He earned his master’s and Ph.D degrees from IIT Kanpur. After completing his PhD, he pursued postdoctoral research at the Korea Advanced Institute of Science and Technology, Daejeon, South Korea. He later worked as a member of the research staff at the General Motors Research Lab, Bangalore, India, and the School of Computer Engineering, Nanyang Technological University, Singapore. His current research interests include malware analysis, biometrics, cryptography, machine learning, cyber threat prediction and visualization, digital watermarking, multimedia security and digital forensics.

Roopak Surendran is currently pursuing his PhD in the area of Android malware analysis at the Indian Institute of Information Technology and Management-Kerala (IIITM-K). Before joining his PhD program, he completed his MPhil degree in computer science with a specialization in cyber security from IIITM-K. He has published several research papers related to Android malware analysis and phishing detection. His research interests include malware analysis and phishing detection.

Teenu S. John holds an MTech degree in computer science with specialization in data security from TocH Institute of Science and Technology, part of the Cochin University of Science and Technology, Kerala, India and a BTech degree in Information Technology from the College of Engineering Perumon, also part of the Cochin University of Science and Technology, Kerala, India. She is currently doing her PhD in detecting adversarial attacks in Android malware detection at the Indian Institute of Information Technology and Management, Kerala (IIITM-K). Her research interests include malware analysis, machine learning for cybersecurity, data analytics and cyber threat detection.

Mamoun Alazab is an associate professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. Dr. Alazab’s research is multidisciplinary and focuses on cybersecurity, which includes current and emerging issues in cyber environments such as cyber-physical systems, specifically cybercrime detection and prevention. His research focuses on human behavior, computational analysis like AI, machine learning, including deep learning for access control and biometrics, and human information processing concerns in security and privacy. He has published more than 150 research papers in many international journals and conferences. His research over the years has contributed to the development of several successful secure commercial systems in the areas of secure network systems, security tools, AI security, secure mobile systems, as well as cryptographic, cyber-physical systems for security, and applications where the devices are often lightweight.