False Data Detection in Wireless Sensor Networks via Merkle Hash Trees

Volume: 11 Number: 3 April 9, 2009
  • Suat Özdemir

False Data Detection in Wireless Sensor Networks via Merkle Hash Trees

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.

Keywords

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Suat Özdemir This is me

Publication Date

April 9, 2009

Submission Date

March 25, 2009

Acceptance Date

-

Published in Issue

Year 2007 Volume: 11 Number: 3

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

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