Enhancing the Statistical Filtering Scheme to Detect False Negative Attacks in Sensor Networks 

  • Muhammad Akram College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
  • Muhammad Ashraf College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
  • Tae Ho Cho College of Software, Sungkyunkwan University, Suwon 16419, Republic of Korea

Abstract

In this paper, we present a technique that detects both false positive and false negative attacks in statistical filtering-based wireless sensor networks. In statistical filtering scheme, legitimate reports are repeatedly verified en route before they reach the base station, which causes heavy energy consumption. While the original statistical filtering scheme detects only false reports, our proposed method promises to detect both attacks. 

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Published
2017-06-30
How to Cite
AKRAM, Muhammad; ASHRAF, Muhammad; CHO, Tae Ho. Enhancing the Statistical Filtering Scheme to Detect False Negative Attacks in Sensor Networks . Sukkur IBA Journal of Computing and Mathematical Sciences, [S.l.], v. 1, n. 1, p. 52-57, june 2017. ISSN 2522-3003. Available at: <http://journal.iba-suk.edu.pk:8089/SIBAJournals/index.php/sjcms/article/view/7>. Date accessed: 15 oct. 2019. doi: https://doi.org/10.30537/sjcms.v1i1.7.
Section
Research Articles