Jammer Localization in Multi-Hop Wireless Network: A Comprehensive Survey

Wei, Xianglin; Wang, Qiping; Wang, Tongxiang; Jiang, Fan

doi:10.1109/comst.2016.2631146

Cited by 56 publications

(27 citation statements)

References 114 publications

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“…After receiving the ACK, device A records the current time information and records it as T 2 . At this time, the time difference is calculated according to (1), and the distance is calculated according to (2), where c is the speed of light. It should also be emphasized that T prop is the processing delay, that is, the time between unpacking and packaging after receiving the package.…”

Section: Toa-based Distance Estimationmentioning

confidence: 99%

“…IEEE 802.11ad, which is released as a promising technology, aims to support multi-gigabit-per-second throughput through utilizing 60GHz unlicensed frequency, and thus to support the aforementioned applications. Compared with other IEEE 802.11 standards [1], the introducing of mmWave communication in IEEE 802.11ad has many desirable characteristics, including wide available spectrum range and large information capacity; achieving narrow beam and high gain antenna easily; high resolution and strong directivity; strong ability to penetrate plasma; high transmission rate and completely free spectrum resources [2]- [7]. However, IEEE 802.11ad still faces diverse security threats,as revealed recently in [8], especially the man-in-themiddle (MITM attack), in which an attacker could hijack the information exchanged between two victims through establishing a relay path between them.…”

Section: Introductionmentioning

confidence: 99%

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Man-in-the-Middle Attack Detection and Localization Based on Cross-Layer Location Consistency

Yang

Wei

et al. 2020

IEEE Access

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As a promising communication paradigm in the 5G era, IEEE 802.11ad 60GHz mmWave communication has many desirable properties, including high bandwidth, narrow beam, high transmission quality, and low mutual-interference. However, recently revealed Man-in-the-middle (MITM) attack can endanger the security and privacy of mmWave communication systems. Existing MITM attack detection solutions, established on ideal assumptions, neglect the fact that a MITM attacker can change its transmitting power and make it hard to be detected. In this backdrop, a cross-layer location consistency-based MITM detection and localization algorithm is introduced in this paper. Firstly, we propose a positioning algorithm based on the information of the physical layer with a directional antenna sector propagation model; secondly, based on the information at the MAC layer, we propose a MITM attack detection scheme and a sector consistency check algorithm; thirdly, a MITM attack detection and localization algorithm using cross-layer information is proposed. Simulation results have shown that the proposed algorithm can effectively detect the MITM attack and its positioning error is less than 0.53m in typical parameter settings.

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Section: Toa-based Distance Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Man-in-the-Middle Attack Detection and Localization Based on Cross-Layer Location Consistency

Yang

Wei

et al. 2020

IEEE Access

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“…Over the past few years, Xu et al conducted a series of researches on the jamming attack and four basic approaches of jamming attack were proposed [8], which were defined as constant jamming, random jamming, proactive jamming, and reactive jamming. Wei et al provided a comprehensive survey of the major works done in the field of jammer localization for MHWN [9].…”

Section: Related Workmentioning

confidence: 99%

“…Assume that there is a locating node, which is in charge of jammer localization, in the wireless network chosen from the unaffected nodes through some kind of voting algorithm. To realize the localization (1) if a node does not detect jamming attack then (2) This node is an unaffected node; (3) else (4) if this node does not lose any neighbor and its received SNRs from most of its neighbors' do not decrease more than a percent then (5) This node is an unaffected node; (6) else (7) if this node loses more than percent of its neighbors then (8) This node is a jammed node; (9) else (10) if more than percent of its neighbors' SNRs decrease more than percent then (11) This node is a jammed node; (12) else (13) This node is a boundary node; (14) end if (15) end if (16) end if (17) end if Algorithm 1: Node state determination algorithm. process, it has to firstly collect information from wireless nodes and then execute the localization algorithm.…”

Section: Information Collectionmentioning

confidence: 99%

Jammer Localization in Multihop Wireless Networks Based on Gravitational Search

Wang

Wei²,

Jiang³

et al. 2018

Security and Communication Networks

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Multihop Wireless Networks (MHWNs) can be easily attacked by the jammer for their shared nature and open access to the wireless medium. The jamming attack may prevent the normal communication through occupying the same wireless channel of legal nodes. It is critical to locate the jammer accurately, which may provide necessary message for the implementation of antijamming mechanisms. However, current range-free methods are sensitive to the distribution of nodes and parameters of the jammer. In order to improve the localization accuracy, this article proposes a jammer localization method based on Gravitational Search Algorithm (GSA), which is a heuristic optimization evolutionary algorithm based on Newton’s law of universal gravitation and mass interactions. At first, the initial particles are selected randomly from the jammed area. Then, the fitness function is designed based on range-free method. At each iteration, the mass and position of the particles are updated. Finally, the position of particle with the maximum mass is considered as the estimated jammer’s position. A series of simulations are conducted to evaluate our proposed algorithms and the simulation results show that the GSA-based localization algorithm outperforms many state-of-the-art algorithms.

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“…Actually, if the position of the jammer could be located accurately, the jammer may be eliminated through physical measures. Therefore, the research on jammer localisation has been attracting increasing attention in recent years [4].…”

Section: Introductionmentioning

confidence: 99%

Sequential opening multi‐jammers localisation in multi‐hop wireless network

Wang

Liang²,

Jiang³

et al. 2018

IET Inf. secur

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Multi-hop wireless network (MHWN) can be easily attacked by jammers for its shared nature and open access to the wireless medium. Jamming attack may pose a significant threat to MHWN by occupying wireless channel used by legitimate users. A number of anti-jamming countermeasures have been put forward to eliminate the impact of communication disruption caused by jamming attacks. As an important building block of anti-jamming strategies, jammer localisation attracts much attention in recent years and several algorithms have been presented. However, how to locate multiple co-existing jammers receives little attention, and the efficiency and accuracy of the existing methods are still unsatisfactory. In this study, the authors focus on the localisation of sequential opening multi-jammers and put forward the multi-jammers localisation algorithm based on time series analysis (MLTSA) algorithm. The main process of MLTSA consists of four steps: detection of jamming attack, collection of received jamming signal strength, anomaly detection and separation of nodes, the existence determination and localisation of jammers. Finally, a series of simulation experiments are conducted to evaluate the correctness and effectiveness of the proposed algorithm. Experimental results show that the localisation accuracies of MLTSA are better than those of several state-of-the-art solutions.

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Jammer Localization in Multi-Hop Wireless Network: A Comprehensive Survey

Cited by 56 publications

References 114 publications

Man-in-the-Middle Attack Detection and Localization Based on Cross-Layer Location Consistency

Man-in-the-Middle Attack Detection and Localization Based on Cross-Layer Location Consistency

Jammer Localization in Multihop Wireless Networks Based on Gravitational Search

Sequential opening multi‐jammers localisation in multi‐hop wireless network

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