Fuzzy-Based Adaptive Countering Method against False Data Injection Attacks in Wireless Sensor Networks-Reference-Cited by-同舟云学术

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Fuzzy-Based Adaptive Countering Method against False Data Injection Attacks in Wireless Sensor Networks

Published:2015 Issue:4 Volume:E98.D Page:964-967
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LEE Hae Young¹

Affiliation:

1. Department of Information Security, Seoul Women's University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E98.D/4/E98.D_2013EDL8110/_pdf

Reference7 articles.

1. [1] F. Ye, H. Luo, and S. Lu, “Statistical en-route filtering of injected false data in sensor networks,” IEEE J. Sel. Areas Commun., vol.23, no.4, pp.839-850, April 2005.

2. [2] S. Zhu, S. Setia, S. Jajodia, and P. Ning, “Interleaved hop-by-hop authentication against false data injection attacks in sensor networks,” ACM Trans. Sensor Netw., vol.3, no.3, article no.14, Aug. 2007.

3. [3] S.Y. Moon and T.H. Cho, “Key index-based routing for filtering false event reports in wireless sensor networks,” IEICE Trans. Commun., vol.E95-B, no.9, pp.2807-2814, Sept. 2012.

4. [4] H.Y. Lee and T.H. Cho, “A scheme for adaptively countering application layer security attacks in wireless sensor networks,” IEICE Trans. Commun., vol.E93-B, no.7, pp.1881-1889, July 2010.

5. [5] H.Y. Lee and T.H. Cho, “Optimized fuzzy adaptive filtering for ubiquitous sensor networks,” IEICE Trans. Commun., vol.E94-B, no.6, pp.1648-1656, June 2011.

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