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The sybil attack in sensor networks: analysis & defenses
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Source Information Processing In Sensor Networks archive
Proceedings of the 3rd international symposium on Information processing in sensor networks table of contents
Berkeley, California, USA
SESSION: Oral presentation session IV: estimation and detection table of contents
Pages: 259 - 268  
Year of Publication: 2004
ISBN:1-58113-846-6
Authors
James Newsome  Carnegie Mellon University
Elaine Shi  Carnegie Mellon University
Dawn Song  Carnegie Mellon University
Adrian Perrig  Carnegie Mellon University
Sponsor
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 31,   Downloads (12 Months): 223,   Citation Count: 63
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ABSTRACT

Security is important for many sensor network applications. A particularly harmful attack against sensor and ad hoc networks is known as the Sybil attack [6], where a node illegitimately claims multiple identities. This paper systematically analyzes the threat posed by the Sybil attack to wireless sensor networks. We demonstrate that the attack can be exceedingly detrimental to many important functions of the sensor network such as routing, resource allocation, misbehavior detection, etc. We establish a classification of different types of the Sybil attack, which enables us to better understand the threats posed by each type, and better design countermeasures against each type. We then propose several novel techniques to defend against the Sybil attack, and analyze their effectiveness quantitatively.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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C. Karlof and D. Wagner. Secure routing in wireless sensor networks: Attacks and countermeasures. In First IEEE International Workshop on Sensor Network Protocols and Applications, pages 113--127, May 2003.
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Next-Generation Secure Computing Base (NGSCB). http://www.microsoft.com/resources/ngscb/default.mspx, 2003.
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A. Seshadri, A. Perrig, L. van Doorn, and P. Khosla. SWAtt: Software-based attestation for embedded devices. In Proceedings of the IEEE Symposium on Security and Privacy, May 2004.
 
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Trusted Computing Group (TCG). https://www.trustedcomputinggroup.org/, 2003.

CITED BY  63

Collaborative Colleagues:
James Newsome: colleagues
Elaine Shi: colleagues
Dawn Song: colleagues
Adrian Perrig: colleagues