- Vehicular Ad Hoc Networks (VANETs)
- Network Security and Intrusion Detection
- Blockchain Technology Applications and Security
- Traffic control and management
- Autonomous Vehicle Technology and Safety
- Internet Traffic Analysis and Secure E-voting
- Opportunistic and Delay-Tolerant Networks
- Biometric Identification and Security
- Network Packet Processing and Optimization
- Human Mobility and Location-Based Analysis
- Remote Sensing in Agriculture
- Metaheuristic Optimization Algorithms Research
- Advanced Steganography and Watermarking Techniques
- Plant Pathogens and Resistance
- Face and Expression Recognition
- Smart Grid Security and Resilience
- Artificial Immune Systems Applications
- Plant Disease Resistance and Genetics
- IoT and Edge/Fog Computing
- Advanced Authentication Protocols Security
- Plant Pathogens and Fungal Diseases
- Remote Sensing and LiDAR Applications
- Anomaly Detection Techniques and Applications
- Security in Wireless Sensor Networks
- Advanced Malware Detection Techniques
Hong Kong University of Science and Technology
2024
University of Hong Kong
2024
Shenzhen Institute of Information Technology
2021-2023
Guizhou University
2023
Nanyang Technological University
2018-2022
Shenzhen University
2016-2019
Vehicle ad hoc networks (VANETs) are considered to be the next big thing that will remarkably change our lives, since this kind of technology is able make lives and roads safer. Due very fast move high dynamic in VANETs, it important quickly ascertain reliability information. Although intrusion detection system (IDS) has been proposed as a reliable approach protect VANETs against attacks, its overhead serious, which spends too much time on detection, especially when number vehicles...
Due to the nature of high mobility and dynamic network topology, Intrusion Detection Systems (IDSs) in Vehicular Ad-hoc Networks (VANETs) face lots challenges, especially balancing accuracy efficiency detection. Current researches about deployment IDSs VANETs mainly focus on a tradeoff between effectiveness efficiency, but few efforts have been done adaptability changeable networks. Thus, we address two crucial problems: 1) how perceive environmental change perspective an IDS? 2) make IDS...
Intrusion Detection System (IDS) is one of the most important approaches in cyber security to protect networks against both inner and outer threats. Apart from traditional networks, IDSs have been implemented various emerging such as mobile Vehicle Ad hoc Networks (VANETs). However, a critical problem that detection capacity gradually decaying with emergence unknown attacks. It necessary constantly retrain more extensive database, but institutes usually lack motivation persistently update...
Vehicle Ad Hoc Networks (VANETs) are considered to be a next big thing that will remarkably change our lives, since this kind of technology is able make lives and roads safer. Intrusion Detection Systems (IDS) an important can mitigate both inner outer threats for the vulnerable networks like VANETs. However, it difficult adopt same IDSs have been appropriately used in wired networks, due fast moving highly dynamic nature Thus, article, Efficient Collaborative Framework with Markov-based...
For Intrusion Detection Systems (IDSs) in Vehicular Ad Hoc Networks (VANETs), single-objective optimization algorithm has inherited limitations for the feature selection problem with multiple objectives. Moreover, imbalanced commonly exists various datasets. Thus, this paper, a based on many-objective (FS-MOEA) is proposed IDSs VANETs, which Adaptive Non-dominant Sorting Genetic <xref ref-type="algorithm" rid="alg3" xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Intrusion detection systems (IDSs) is crucial for the security of Vehicle Ad Hoc Networks (VANETs), as it can accurately detect both inner and outer attacks. However, redundant features sparse samples fatal attacks in VANETs datasets cause heavy time-consumption imbalanced problems respectively. In this paper, a feature selection algorithm based on many-objective optimization (FS-MOEA) proposed IDSs VANETs, which Non-dominant Sorting Genetic Algorithm-III (NSGA-III) serves evolutionary...
Vehicle Ad Hoc Networks (VANETs) are considered to be a next big thing that will remarkably change our lives, since this kind of technology is able make lives and roads safer. Intrusion Detection Systems (IDS) an important can mitigate both inner outer threats for the vulnerable networks like VANETs. However, it difficult adopt same IDSs have been appropriately used in wired networks, due fast moving highly dynamic nature Thus, paper, Efficient IDS with Markov-based Reputation Scheme...
Recently, Vehicular Ad Hoc Networks (VANETs) have emerged as a promising approach to improve ride comfortability and safety, well increase the competition of highway. Certificate Revocation List (CRL)-based schemes are most widely used recovery mechanism for VANETs eliminate negative effect security privacy attacks. However, providing an efficient low-cost CRL-based scheme certificate revocation is still challenging issue since communication resources must be capable carrying various...
Intrusion Detection System (IDS) is an effective way to detect both internal and external abnormal behaviors, which has been widely deployed in industrial Cyber-Physical Systems (CPSs). However, due the data island problem caused by imperativeness of confidentiality sensitive information, most existing IDSs are limited be trained evaluated isolated CPSs, resulting cyber systems vulnerable various newly-emerging attacks. In this article, a secure collaborative IDS solution, called PFD-GAN,...
Intrusion Detection Systems (IDS) is an important technology for cyber security, as it can mitigate both inner and outer threats in networks. However, a critical problem IDSs that the detection capacity gradually decaying with emergence of unknown attacks. To constantly retrain more extensive database to make adaptive ever-changing network environment, but security institutes usually lack motivation persistently update maintain public. Thus, this paper, blockchain-based (bc-DB) proposed,...
Because of the nature high mobility and dynamic network topology, Intrusion Detection Systems (IDSs) in Vehicular Ad-hoc Networks (VANETs) face challenge balancing accuracy efficiency detection. Two crucial problems are remained unsolved existing studies: 1) how to perceive environmental change perspective an IDS? 2) make IDS adaptive different scenarios? In this paper, a self-adaptive scheme is proposed for IDSs VANETs based on Bayesian game theory Deep Q-learning Network (DQN). scheme,...