Dr. Mizanur Rahman

Internet is the baseline for cyberspace, where technology infrastructure can be autonomous. It is a virtual space that can be accessed via different interconnected network devices. Cyber-security can be described as a set of measures that makes cyberspace safe. Identifying threats and predicting vulnerabilities in this environment are the key components of the security mechanism. The main cause of security violations is the intrusion of an attacker into the network or electronic devices. Machine learning can be used to increase the accuracy level of detection of threats to improve system efficiency and performance. In this talk, we present how machine learning can help detect and mitigate cyber threats in the systems.

Biography:

Dr. Sk Md Mizanur Rahman is a fulltime professor in the department of Information and Communication Engineering Technology, School of Engineering Technology and Applied Science, Centennial College. Prior to his current appointment, he worked as an Assistant Professor for five years in the Information Systems Department at the College of Computer and Information Sciences, King Saud University. He also worked for several years in cryptography and security engineering in the high-tech industry in Ottawa, Canada. In addition, he worked as a postdoctoral researcher for several years at the University of Ottawa, University of Ontario Institute of Technology (UOIT), and University of Guelph, Canada. He completed a Ph.D. in Engineering (Major: Cybersecurity Risk Engineering) in the Laboratory of Cryptography and Information Security, Department of Risk Engineering, University of Tsukuba, Japan, in 2007. The Information Processing Society Japan (IPSJ) awarded Dr. Rahman its Digital Courier Funai Young Researcher Encouragement Award for his excellent contributions to IT security research. He is awarded a Gold Medal for distinction in his undergraduate and graduate programs. He has published approximately one-hundred peer reviewed journal and conference research articles. Also, he has a granted industrial patent (US Patent) on cryptographic key generation and protection. Dr. Rahman’s primary research interests are cryptographic protocol design, white-box cryptography, software and network security, reverse engineering and ethical hacking, privacy enhancing technology, sensor and mobile ad-hoc network security, cloud and the Internet of Things (IoT) security, bigdata security, and machine learning in information security.