Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach

Zhang, Tao; Xu, Changqiao; Zhang, Bingchi; Shen, Jiahao; Kuang, Xiaohui; Grieco, Luigi Alfredo

doi:10.1109/tits.2022.3198507

Cited by 13 publications

(6 citation statements)

References 52 publications

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“…Later, the route mutation was exploited in defending the DDoS attack in the vehicle ad hoc network (VANET). For example, Zhang et al proposed a hierarchical routing scheme-based route mutation by choosing a neighbored grid in the communication area in VANET [37]. Te mutation is realized by the multi-agent reinforcement learning based on the observation of nodes in the Markov process.…”

Section: Mtdmentioning

confidence: 99%

“…However, those solutions have insufciency in defense against the crossfre attack as follows. (a) Defenses in VANET [37,38] are designed based on ad hoc routes that are suitable for general networks. (b) Te solutions [36][37][38] have not mentioned how to identify the links or hosts under attack.…”

Section: Mtdmentioning

confidence: 99%

“…(a) Defenses in VANET [37,38] are designed based on ad hoc routes that are suitable for general networks. (b) Te solutions [36][37][38] have not mentioned how to identify the links or hosts under attack. (c) For all of them [36][37][38], fnding the link-disjoint path or the route mutation is impossible for the critical PRs in general networks.…”

Section: Mtdmentioning

confidence: 99%

“…(b) Te solutions [36][37][38] have not mentioned how to identify the links or hosts under attack. (c) For all of them [36][37][38], fnding the link-disjoint path or the route mutation is impossible for the critical PRs in general networks. Later, Gupta et al developed a defense mechanism to change interdomain paths and performed address hopping for setting up a honey pot [13].…”

Section: Mtdmentioning

confidence: 99%

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A Persistent Route Diversification Mechanism for Defending against Stealthy Crossfire Attack

Zhou

Yang

et al. 2022

Security and Communication Networks

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Computer networks are facing the challenge of stealthy crossfire attacks that flood through persistent routes (PRs) towards their decoys at a low rate for disrupting end-to-end connectivity of the target. At first, the PRs can be stealthily probed at the initial stage of the attack. Later, some undefended and vulnerable PRs can be speculated at the renaissance stage of the attack, which yet remains unconcerned. To achieve an effective defense against the two-stage attacks, this paper investigates a new persistent route diversification defense (PRDD) mechanism to mitigate each identified PR under the attacks. The PRDD effectively stops the flooding on the PRs to mitigate their congestion. Meanwhile, it makes the adversary unable to probe or speculate the PRs under their corresponding attack stages. Thus, it disables every flooding choice for the adversary, avoiding the attacks. The PRDD is designed with scalable algorithmic complexity in computation and overhead. The PRDD is extensively assessed using NS-3 and Mininet, and the results show the following. (a) It is more effective in mitigating more attacked PRs compared with the existing solutions. (b) The defense performance of the PRDD remains highly scalable in computation, while maintaining an acceptable overhead.

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Section: Mtdmentioning

confidence: 99%

Section: Mtdmentioning

confidence: 99%

Section: Mtdmentioning

confidence: 99%

Section: Mtdmentioning

confidence: 99%

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A Persistent Route Diversification Mechanism for Defending against Stealthy Crossfire Attack

Zhou

Yang

et al. 2022

Security and Communication Networks

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“…7 Some researchers have focused on the significance of security. [8][9][10] They have proposed various security strategies for V2X communications using cryptography, 11,12 fuzzy and other traditional security considerations. 13 However, these considerations can either defend against external attacks using authentication or achieve passive defensive strategies like anomaly node detecting.…”

Section: Introductionmentioning

confidence: 99%

Blockchain‐enhanced trust management for mobile edge computing‐enabled intelligent vehicular collaboration in the 6G era

Wang

Zhu

Xiao

et al. 2023

Trans Emerging Tel Tech

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The rapid development and increasing popularity of mobile devices have facilitated the development of computation‐intensive applications and services, but their constrained compute, storage and battery capabilities have also created the requirements for optimized resource provision and service orchestration. Emerging mobile edge computing (MEC) and next‐generation networks (6G) can meet these requirements of mobile devices by migrating complex computing tasks and large volumes of data to edge servers with acceptable latency, thus effectively enhancing the quality of experience (QoE) of mobile users. Intelligent Vehicular Collaboration, as an intelligent mobile application or service in intelligent connected vehicle (ICV) applications, enables precise and effective driving decisions based on a large amount of real‐time traffic information statistics and intelligent analysis of vehicle status to improve the user driving experience and the efficiency of intelligent transportation systems(ITS). However, the openness and dynamics of wireless communications and the high frequency of information interaction of MEC‐enabled intelligent vehicular collaboration services in the 6G era make them highly vulnerable to cyber attacks. How to achieve dynamically trustworthy, secure, and intelligent vehicular collaboration services in the presence of malicious node access and cyber attacks in the 6G MEC‐enabled vehicular network is a significant challenge. In this paper, we propose a novel blockchain‐enabled trust management mechanism to address this challenge. First, we design a spatiotemporal‐correlated message credibility assessment method and a dynamic mutual trust evaluation method to obtain accurate ratings for messages and mobile nodes respectively. Based on the above methods, we propose an improved blockchain‐based intelligent trust management mechanism that enables transparent, tamper‐evident, and trustworthy secure intelligent vehicular collaboration services while maintaining stable and efficient system performance. Simulation results show that our suggested solutions can efficiently evaluate the trust level of ICVs and achieve efficient and secure intelligent vehicular collaboration with acceptable communication and computation overheads.

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A Super-Nash Equilibrium Defense Solution for Client-Side Cache Poisoning Attacks

Yang

et al. 2023

Communications in Computer and Information Science

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Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach

Cited by 13 publications

References 52 publications

A Persistent Route Diversification Mechanism for Defending against Stealthy Crossfire Attack

A Persistent Route Diversification Mechanism for Defending against Stealthy Crossfire Attack

Blockchain‐enhanced trust management for mobile edge computing‐enabled intelligent vehicular collaboration in the 6G era

A Super-Nash Equilibrium Defense Solution for Client-Side Cache Poisoning Attacks

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