A Selective Forwarding Attack Detection Method Based on Simplified Cloud and K/N Voting Model

Rongrong YIN; Wenyuan ZHANG; Chouchou YANG; Xida LI

doi:10.11999/JEIT190274

Volume 42 Issue 12

Dec. 2020

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Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(12): 2841-2848

Rongrong YIN, Wenyuan ZHANG, Chouchou YANG, Xida LI. A Selective Forwarding Attack Detection Method Based on Simplified Cloud and K/N Voting Model[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2841-2848. doi: 10.11999/JEIT190274

Citation:

Rongrong YIN, Wenyuan ZHANG, Chouchou YANG, Xida LI. A Selective Forwarding Attack Detection Method Based on Simplified Cloud and K/N Voting Model[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2841-2848. doi: 10.11999/JEIT190274

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A Selective Forwarding Attack Detection Method Based on Simplified Cloud and K/N Voting Model

doi: 10.11999/JEIT190274

Rongrong YIN^{1, 2
,
,},
Wenyuan ZHANG^{1, 2},
Chouchou YANG¹,
Xida LI¹

1.
School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
2.
Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, Yanshan University, Qinhuangdao 066004, China

Funds: The National Natural Science Foundation of China (61802333), The State Scholarship Fund of China (201808130258), The Science and Technology Research Project of Colleges and Universities in Hebei Province (QN2018029)

Received Date: 2019-04-22
Rev Recd Date: 2020-05-28

Available Online: 2020-11-13

Publish Date: 2020-12-08

Abstract

Abstract

For the selective forwarding attack behavior generated by malicious nodes in wireless sensor networks, an efficient detection method is proposed. The simplified cloud model is introduced into the trust evaluation model, and the improved K/N voting algorithm is used to obtain the trust value of the target node. Then, the trust value of the target node is compared with the trust threshold to identify the attack node. The simulation results show that when the trust threshold is 0.8 and after 5 time periods, the proposed method can effectively detect the selective forwarding attack nodes, and it has high detection rate and low fault rate.
- Selective forwarding attack,
- Simplified cloud,
- Improved K/N voting algorithm,
- Trust evaluation model,
- Trust threshold

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References(20)

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