• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 18, Issue 6, 1093 (2020)
LI Hongfei* and SHEN Yuxia
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.11805/tkyda2020139 Cite this Article
    LI Hongfei, SHEN Yuxia. Adaptive intrusion detection scheme in data fusion stage of WSN[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(6): 1093 Copy Citation Text show less
    References

    [1] OTOUM S,KANTARCI B,MOUFTAH H T. Hierarchical trust-based black-hole detection in WSN based smart grid monitoring[C]// 2017 IEEE International Conference on Communications(ICC). Paris,France:IEEE, 2017:1-6.

    [4] RIZWAN R,KHAN F A,ABBAS H,et al. Anomaly detection in wireless sensor networks using immune-based bioinspired mechanism[J]. International Journal of Distributed Sensor Networks, 2015(6):1120-1127.

    [5] WAZID M,DAS A K. An efficient hybrid anomaly detection scheme using K-means clustering for wireless sensor networks[J]. Wireless Personal Communications, 2016,90(4):1971-2000.

    [6] SEDJELMACI H,SENOUCI S M,TALEB T. An accurate security game for low-resource IoT devices[J]. IEEE Transactions on Vehicular Technology, 2017,66(10):9381-9393.

    [7] OTOUM S,KANTARCI B,MOUFTAH H T. Detection of known and unknown intrusive sensor behavior in critical applications[J]. IEEE Sensors Letters, 2017,1(5):1-4.

    LI Hongfei, SHEN Yuxia. Adaptive intrusion detection scheme in data fusion stage of WSN[J]. Journal of Terahertz Science and Electronic Information Technology , 2020, 18(6): 1093
    Download Citation