Cybersecurity Knowledge Science – Seminar – AI-Backed Protection and Resilience for Cyber-Bodily Techniques

Seminar, Aug. 19, 2021, 5:00p.m. (BRT)
Title: AI-Backed Protection and Resilience for Cyber-Physical Techniques (ACM Distinguished Lecture)
Speaker: Dr. Burak Kantarci – College of Ottawa, Canada

As Internet of Things devices come to be commonly adopted, cyber-actual physical methods offer you smarter environments and products and services than before networked techniques by leveraging and integrating sensed details from many varieties of sensors. Regardless of adopting the added benefits of the IoT technologies, cyber-actual physical methods have many weaknesses owing to current vulnerabilities in wi-fi networks. With massively connected nodes that drive sensed data, the cyber threat floor leaves additional nodes as focus on details to enter the monitoring community. This lecture will consist of the next pieces: 1) A temporary introduction to the vulnerabilities and countermeasures in IoT and IIoT cybersecurity with a concentration on menace styles and attacks surfaces, 2) State of the art in machine learning-based intrusion detection in IoT and cyber-actual physical systems. 3) Adversarial intelligence to anticipate the threats in IoT-dependent sensing. Below, mobile crowdsensing as a specific use circumstance of IoT will be thought of. 3)Open problems, challenges and potential instructions in this industry are likely to be presented for the scientists intrigued in this field.

Burak Kantarci is an Associate Professor and the Founding Director of the Future Generation Communications and Computing Networks (NEXTCON) Research Lab and the Intelligent Linked Autos Innovation Centre (SCVI) at the University of Ottawa. Dr. Kantarci holds a Ph.D in computer engineering and he is a globally regarded researcher especially in cell cloud computing, cell crowd-sensing and AI-driven options for protected and reputable cyberspace. Dr. Kantarci is the co-writer of around 200 publications in set up journals and conferences, and 13 book chapters. He is properly regarded for his contributions to the quantification of information trustworthiness in cellular crowd-sensing (MCS) programs, and match theoretic incentives to endorse person participation in MCS campaigns with large benefit information as effectively as AI-backed entry handle, authentication and machine learning-backed intrusion detection methods in sensing environments. Dr. Kantarci served as the Chair of IEEE Communications Systems Integration and Modeling Technical Committee, and has served as the Technical Application Co-Chair/ Symposium Co-chair of much more than twenty worldwide conferences/ symposia/ workshops which includes IEEE International Communications Meeting (GLOBECOM) – Communications Units QoS, Reliability and Modeling (CQRM) symposium. An Editor of the IEEE Communications Surveys and Tutorials, IEEE Internet of Things, Elsevier Vehicular Communications, an associate editor for IEEE Networking Letters, an location editor for IEEE Transactions on Eco-friendly Communications and Networking, and an associate editor for IEEE Entry. Dr. Kantarci is a Distinguished Speaker of the Affiliation for Computing Machinery (ACM), senior member of ACM, and senior member of the IEEE.

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