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Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders

Research output: Contribution to journalArticle

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Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders. / Huang, Haiping; Gong, Tianhe; Zhang, Rong; Yang, Lie Liang; Zhang, Jiancong; Xiao, Fu.

In: IEEE Transactions on Vehicular Technology, Vol. 67, No. 12, 8477168, 12.2018, p. 12109-12123.

Research output: Contribution to journalArticle

Harvard

Huang, H, Gong, T, Zhang, R, Yang, LL, Zhang, J & Xiao, F 2018, 'Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders', IEEE Transactions on Vehicular Technology, vol. 67, no. 12, 8477168, pp. 12109-12123. https://doi.org/10.1109/TVT.2018.2872848

APA

Huang, H., Gong, T., Zhang, R., Yang, L. L., Zhang, J., & Xiao, F. (2018). Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders. IEEE Transactions on Vehicular Technology, 67(12), 12109-12123. [8477168]. https://doi.org/10.1109/TVT.2018.2872848

Vancouver

Huang H, Gong T, Zhang R, Yang LL, Zhang J, Xiao F. Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders. IEEE Transactions on Vehicular Technology. 2018 Dec;67(12):12109-12123. 8477168. https://doi.org/10.1109/TVT.2018.2872848

Author

Huang, Haiping ; Gong, Tianhe ; Zhang, Rong ; Yang, Lie Liang ; Zhang, Jiancong ; Xiao, Fu. / Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders. In: IEEE Transactions on Vehicular Technology. 2018 ; Vol. 67, No. 12. pp. 12109-12123.

Bibtex

@article{53c780cd2e9f4c8e94311890d9a9383e,
title = "Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders",
abstract = "Intrusion detection is one of the important applications of wireless sensor networks (WSNs). Prior research indicated that the barrier coverage method combined with mobile sensor networks (MSNs) can enhance the effectiveness of intrusion detection by mitigating coverage holes commonly appearing in stationary WSNs. However, the trajectories of moving sensors and moving intruders have not been investigated thoroughly, whereas the impact between two adjacent moving sensors and between a moving sensor and a moving intruder are still under-determined. In order to address these open problems, in this paper, we firstly discuss the virtual potential field between sensors as well as between sensors and intruders. We then propose to formulate the mobility pattern of sensor node using elastic collision model and that of intruder using point charge model. The point charge model describes an hitherto unexplored mobility pattern of empowered intruders, which are capable of acting upon the virtual repulsive forces from sensors in order to hide them away from being detected. With the aid of the two models developed, analytical expressions and simulation results demonstrate that our proposed design achieves a higher $k$-barrier coverage probability in intrusion detection compared to that of the conventional designs. It is also worth mentioning that these improvements are achieved with shorter average displacement distance and under much more challenging MSNs settings.",
keywords = "empowered intruders, intrusion detection, k-barrier coverage, Mobile sensor networks",
author = "Haiping Huang and Tianhe Gong and Rong Zhang and Yang, {Lie Liang} and Jiancong Zhang and Fu Xiao",
year = "2018",
month = "12",
doi = "10.1109/TVT.2018.2872848",
language = "English",
volume = "67",
pages = "12109--12123",
journal = "IEEE Transactions on Vehicular Technology",
issn = "0018-9545",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
number = "12",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Intrusion Detection Based on k-Coverage in Mobile Sensor Networks with Empowered Intruders

AU - Huang, Haiping

AU - Gong, Tianhe

AU - Zhang, Rong

AU - Yang, Lie Liang

AU - Zhang, Jiancong

AU - Xiao, Fu

PY - 2018/12

Y1 - 2018/12

N2 - Intrusion detection is one of the important applications of wireless sensor networks (WSNs). Prior research indicated that the barrier coverage method combined with mobile sensor networks (MSNs) can enhance the effectiveness of intrusion detection by mitigating coverage holes commonly appearing in stationary WSNs. However, the trajectories of moving sensors and moving intruders have not been investigated thoroughly, whereas the impact between two adjacent moving sensors and between a moving sensor and a moving intruder are still under-determined. In order to address these open problems, in this paper, we firstly discuss the virtual potential field between sensors as well as between sensors and intruders. We then propose to formulate the mobility pattern of sensor node using elastic collision model and that of intruder using point charge model. The point charge model describes an hitherto unexplored mobility pattern of empowered intruders, which are capable of acting upon the virtual repulsive forces from sensors in order to hide them away from being detected. With the aid of the two models developed, analytical expressions and simulation results demonstrate that our proposed design achieves a higher $k$-barrier coverage probability in intrusion detection compared to that of the conventional designs. It is also worth mentioning that these improvements are achieved with shorter average displacement distance and under much more challenging MSNs settings.

AB - Intrusion detection is one of the important applications of wireless sensor networks (WSNs). Prior research indicated that the barrier coverage method combined with mobile sensor networks (MSNs) can enhance the effectiveness of intrusion detection by mitigating coverage holes commonly appearing in stationary WSNs. However, the trajectories of moving sensors and moving intruders have not been investigated thoroughly, whereas the impact between two adjacent moving sensors and between a moving sensor and a moving intruder are still under-determined. In order to address these open problems, in this paper, we firstly discuss the virtual potential field between sensors as well as between sensors and intruders. We then propose to formulate the mobility pattern of sensor node using elastic collision model and that of intruder using point charge model. The point charge model describes an hitherto unexplored mobility pattern of empowered intruders, which are capable of acting upon the virtual repulsive forces from sensors in order to hide them away from being detected. With the aid of the two models developed, analytical expressions and simulation results demonstrate that our proposed design achieves a higher $k$-barrier coverage probability in intrusion detection compared to that of the conventional designs. It is also worth mentioning that these improvements are achieved with shorter average displacement distance and under much more challenging MSNs settings.

KW - empowered intruders

KW - intrusion detection

KW - k-barrier coverage

KW - Mobile sensor networks

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DO - 10.1109/TVT.2018.2872848

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JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

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