• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks


Abstract

The existing en-route filtering schemes only consider some simple false data injection attacks, which results in lower safety performance. In this paper, we propose an efficient geographical information-based en-route filtering scheme (EGEFS), in which each forwarding node verifies not only the message authentication codes (MACs), but also the report identifier and the legitimacy and authenticity of locations carried in a data report. Thus, EGEFS can defend against not only the simple false data injection attacks and the replay attack, but also the collusion attack with forged locations proposed in this paper. In addition, we propose a new method for electing the center-of-stimulus (CoS) node, which can ensure that only one detecting node will be elected as the CoS node to generate one data report for an event. The simulation results show that, compared to the existing en-route filtering schemes, EGEFS has higher safety performance, because it can resist more types of false data injection attacks, and it also has higher filtering efficiency and lower energy expenditure.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Chuanjun Yi, Geng Yang, Hua Dai, Liang Liu and Yunhua Chen, "Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 12, no. 9, pp. 4183-4204, 2018. DOI: 10.3837/tiis.2018.09.005

[ACM Style]
Yi, C., Yang, G., Dai, H., Liu, L., and Chen, Y. 2018. Efficient Geographical Information-Based En-route Filtering Scheme in Wireless Sensor Networks. KSII Transactions on Internet and Information Systems, 12, 9, (2018), 4183-4204. DOI: 10.3837/tiis.2018.09.005