BibTex RIS Cite

False Data Detection in Wireless Sensor Networks via Merkle Hash Trees

Year 2007, Volume: 11 Issue: 3, 239 - 245, 09.04.2009

Abstract

Large-scale wireless sensor networks provide economical and viable solutions to many monitoring and tracking problems. However, practical deployment of wireless sensor networks introduces problems that do not occur in traditional networks. For example, individual sensor nodes are prone to security compromises. Moreover, compromised nodes can inject false sensing reports into the network. If undetected, false data injection attacks may deceive the base station and deplete the limited energy resources of relaying sensor nodes. Standard data authentication schemes cannot prevent these attacks if there exists more than one compromised node in the network. In this paper, we present a collaborative data authentication protocol that detects false data injection attacks. In the proposed protocol, false data injected by less than n compromised nodes are detected and eliminated by constructing consecutive Merkle Hash Trees (MHT) between the source node and the base station. The security and performance analysis show that the proposed protocol is able to detect false data injected by less than n compromised nodes and incurs less resource consumption compared to previous false data detection schemes.

Year 2007, Volume: 11 Issue: 3, 239 - 245, 09.04.2009

Abstract

There are 0 citations in total.

Details

Primary Language English
Journal Section MÜHENDİSLİK ve MİMARLIK BİLİMLERİ
Authors

Suat Özdemir This is me

Publication Date April 9, 2009
Published in Issue Year 2007 Volume: 11 Issue: 3

Cite

APA Özdemir, S. (2009). False Data Detection in Wireless Sensor Networks via Merkle Hash Trees. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 11(3), 239-245. https://doi.org/10.19113/sdufbed.46636
AMA Özdemir S. False Data Detection in Wireless Sensor Networks via Merkle Hash Trees. J. Nat. Appl. Sci. April 2009;11(3):239-245. doi:10.19113/sdufbed.46636
Chicago Özdemir, Suat. “False Data Detection in Wireless Sensor Networks via Merkle Hash Trees”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11, no. 3 (April 2009): 239-45. https://doi.org/10.19113/sdufbed.46636.
EndNote Özdemir S (April 1, 2009) False Data Detection in Wireless Sensor Networks via Merkle Hash Trees. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11 3 239–245.
IEEE S. Özdemir, “False Data Detection in Wireless Sensor Networks via Merkle Hash Trees”, J. Nat. Appl. Sci., vol. 11, no. 3, pp. 239–245, 2009, doi: 10.19113/sdufbed.46636.
ISNAD Özdemir, Suat. “False Data Detection in Wireless Sensor Networks via Merkle Hash Trees”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 11/3 (April 2009), 239-245. https://doi.org/10.19113/sdufbed.46636.
JAMA Özdemir S. False Data Detection in Wireless Sensor Networks via Merkle Hash Trees. J. Nat. Appl. Sci. 2009;11:239–245.
MLA Özdemir, Suat. “False Data Detection in Wireless Sensor Networks via Merkle Hash Trees”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 11, no. 3, 2009, pp. 239-45, doi:10.19113/sdufbed.46636.
Vancouver Özdemir S. False Data Detection in Wireless Sensor Networks via Merkle Hash Trees. J. Nat. Appl. Sci. 2009;11(3):239-45.

e-ISSN :1308-6529
Linking ISSN (ISSN-L): 1300-7688

All published articles in the journal can be accessed free of charge and are open access under the Creative Commons CC BY-NC (Attribution-NonCommercial) license. All authors and other journal users are deemed to have accepted this situation. Click here to access detailed information about the CC BY-NC license.