Chinese Journal of Network and Information Security ›› 2021, Vol. 7 ›› Issue (1): 121-129.doi: 10.11959/j.issn.2096-109x.2021013

• Papers • Previous Articles     Next Articles

Secure data collection method of WSN based on mobile Sink

Chunyu MIAO1, Yuan FAN1, Hui LI1,2, Kaiqiang GE1, Xiaomeng ZHANG1   

  1. 1 Hangzhou DAS-Security Information Technology Co., Ltd., Hangzhou 310051, China
    2 School of Cyber Engineering of Xidian University, Xi'an 710126, China
  • Revised:2020-07-14 Online:2021-02-15 Published:2021-02-01
  • Supported by:
    The Key Program National Natural Science Foundation of China(61732022)

Abstract:

At present, WSN data collection method based on mobile Sink has some problems, such as low detection rate of network attack and large memory cost, which makes the network vulnerable to network attack and difficult to be applied in practice.To solve this problem, a secure data collection WSN method of WSN based on mobile Sink was proposed, which used convex hull algorithm of energy perception to identify data collection points, used elliptic encryption algorithm (ECC) to generate key for all nodes in the network, used ElGamal algorithm to realize node identity and message authentication, and used support vector machine (SVM) to identify network attack types.The simulation results show that the proposed secure data collection method has good performance in attack detection rate, memory overhead and packet delivery rate.

Key words: WSN, mobile Sink, data collection, ElGamal algorithm

CLC Number: 

No Suggested Reading articles found!