报告题目:Design of Incremental Lifetime Learning IDSs for VANETs
报告人:Prof. Maode Ma
报告时间:2025年7月8日下午2:30
报告地点:28-414会议室
报告简介:A vehicle Ad Hoc Network (VANET) is one of the most important approaches for intelligent vehicles to communicate under complex road conditions. However, as a VANET is working under wireless and dynamic conditions, it is under the threat of various malicious attacks. One efficient solution to counter those attacks is the Intrusion Detection System (IDS), which can detect intrusions to the VANET based on the statistical machine learning technique. Nowadays, most IDS solutions have a problem that they can only detect attacks which have already known when the IDS is designed/trained. For unknown attacks, most IDSs are inefficient. A blockchain-based Lifetime Learning IDS (LL-IDS) framework has been designed to address this problem. It applies a blockchain to store uncertain data that an IDS cannot decide. And it is highly likely to be a new type of attack. With the help of traditional security agencies such as universities, this uncertain data can be labeled to train the IDS model. The incremental learning models are shown to have great potential in this scenario. In this talk, I introduce a novel IDS named Incremental Lifetime Learning IDS (ILL-IDS) based on LL-IDS. Numerical experiments show that the computational time consumption could be much decreased by applying the ILL-IDS to a public VANET dataset.
报告人简介:Prof. Maode Ma, a Fellow of IET, received his Ph.D. from the Department of Computer Science at the Hong Kong University of Science and Technology in 1999. Now, Prof. Ma is a Research Professor at the College of Engineering at Qatar University in Doha, Qatar. He has extensive research interests, including network security, Applied AI, and wireless networking. He has over 530 international academic publications with more than 12500 citations. Prof. Ma is a senior member of the IEEE Communication Society and a member of ACM. Prof. Ma has been a Distinguished Lecturer for the IEEE Communication Society from 2013 to 2016 and from 2023 to 2024.