报告题目：IoT Security and Privacy Using Machine Learning
时间：2021-11-21（星期日）09:00～12:00
地点：腾讯会议室（ID：324 428 771）
主讲：何祥健教授
主办：福建省网络安全与密码技术重点实验室、计算机与网络空间安全学院
参加对象：感兴趣的教师和学生
报告摘要：This talk presents our recent survey on IoT security and privacy using machine learning techniques. Cyber threats are growing at an explosive pace making the existing security and privacy measures inadequate. Hence, everyone on the Internet is a product for hackers. Consequently, Machine Learning (ML) algorithms are used to produce accurate outputs from large complex databases, where the generated outputs can be used to predict and detect vulnerabilities in IoT-based systems. In this talk, we provide a summary of research efforts made in the past few years, addressing security and privacy issues using ML algorithms techniques in the IoT domain. First, we discuss and categorize various security and privacy threats. Then, we classify the literature on security and privacy efforts based on ML algorithms techniques. Finally, we identify and illuminate several challenges and future research directions in using ML algorithms to address security and privacy issues.
报告人简介：
Professor Xiangjian He is the Leader of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS). He was involved in a team receiving a UTS Chancellor's Award for Research Excellence through Collaboration, for a project funded by SydneyTrains and RMCRC, in 2018. He led the UTS-PolyU joint research project teams (PolyUTS) winning the 1st Runner-Up prize for the 2017 VIP Cup, and the champion for the 2019 VIP Cup, awarded by IEEE Signal Processing Society. The team, PolyUTS, co-led by Prof He again won the 1st Runner-Up award for the 2021 VIP Cup. He has been carrying out research mainly in the areas of image processing, network security, pattern recognition, computer vision and machine learning in the previous years. He has played various chair roles in many international conferences such as ACM MM, MMM, ICDAR, IEEE BigDataSE, IEEE BigDataService, IEEE TrustCom, IEEE CIT, IEEE AVSS, IEEE TrustCom, IEEE ICPR and IEEE ICARCV. He has received many competitive national or regional grants including five grants awarded by Australian Research Council (ARC). In recent years, he has many high quality publications in prestigious journals including IEEE Transactions journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition (Elsevier), etc. He has also had papers published in premier international conferences and workshops such as ACL, IJCAI, CVPR, ECCV, ACM MM, ICDAR, WACV, etc. He has recently been involved in editing for various international journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Computer Networks and Computer Applications (Elsevier), Future Generation Computer Systems (Elsevier), and Signal Processing (Elsevier). He has been an Advisor of HKIE Transactions, and is currently an Associate Editor of Springer-Nature Computer Science Journal and the journal of Human-centric Computing and Information Sciences.