Ali Dehghantanha

In 2019, Dehghantanha built a framework that models the impacts of adopting Privacy Enhancing Technologies (PETs) on the performance of SMEs in Canada. He has also created several frameworks for security analysis of cloud platforms, including CloudMe, OneDrive, Box, GoogleDrive, DropBox, MEGA, and SugarSync. He also works to create frameworks for breach coaching and exposure management. In 2016, he published a book entitled Contemporary Digital Forensic Investigations of Cloud and Mobile Applications, and explored the implications of cloud (storage) services and mobile applications on digital forensic investigations.

Dehghantanha was among the first to introduce some major security and forensics challenges within the Internet of Things (IoT) domain. He also reviewed previous studies published in this special issue targeting identified challenges. In 2016, he proposed a two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks. He has influenced the IoT/ICS network defense field by creating an Intrusion Detection System (IDS) for IoT networks, a secret sharing method of encryption key exchange in vehicular IoT networks, and a method for secret key sharing and distribution between IoT devices. He conducted experiments using NSL-KDD dataset, and proved that his proposed model outperforms previous models designed to detect U2R and R2L attacks. His most notable contributions were made to building AI-based methods for cyber-attack identification and analysis in IoT. Moreover, he developed a Deep Recurrent Neural Network structure for in-depth analysis of IoT malware.

Dehghantanha started his academic career as Sr. Lecturer of Computer Science and Information Technology at the University Putra Malaysia in 2011, and later on joined the University of Salford as Marie Curie International Incoming Post-Doctoral Research Fellow in 2015. From 2017 to 2018, he held appointment as Sr. Lecturer (Associate Professor) in the Department of Computer Science at the University of Sheffield. Following this appointment, he joined the University of Guelph (UoG), Ontario, Canada, as an Associate Professor and Director of Master of Cybersecurity and Threat Intelligence program. He became a Tier 2 NSERC Canada Research Chair in Cybersecurity and Threat Intelligence at the University of Guelph (UoG) in 2020. He also holds a concurrent appointment as Adjunct Associate Professor in Schulich School of Engineering's Department of Electrical & Software Engineering at the University of Calgary since 2020. He has developed two Master's programs in cybersecurity, one in the University of Guelph – Canada, and another in the University of Salford.

After completing his Diploma in Mathematics at National Organization for Development of Exceptional Talents (NODET), Dehghantanha attended Islamic Azad University, Mashhad Branch, from which he graduated with a bachelor's degree in Software Engineering in 2005. He earned his Master's and Doctoral degrees in Security in Computing from University Putra Malaysia in 2008 and 2011, respectively.