The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The sybil attack in sensor networks: analysis & defenses
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.
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Citations
Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
Douceur, J. R. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45748-8_24 · Cited by 4,419
Cited by
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2683200 · Cited by 2,793
Internet of Things: Security vulnerabilities and challenges
Andrea, I., Chrysostomou, C., & Hadjichristofi, G. (2015) · 2015 IEEE Symposium on Computers and Communication (ISCC) · doi:10.1109/iscc.2015.7405513 · Cited by 520
Routing Attacks and Countermeasures in the RPL-Based Internet of Things
Wallgren, L., Raza, S., & Voigt, T. (2013) · International Journal of Distributed Sensor Networks · doi:10.1155/2013/794326 · Cited by 483
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems
Farris, I., Taleb, T., Khettab, Y., & Song, J. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2862350 · Cited by 402
Anatomy of Threats to the Internet of Things
Makhdoom, I., Abolhasan, M., Lipman, J., Liu, R. P., & Ni, W. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2874978 · Cited by 404
Metadata
- Authors
- Newsome, J., Shi, E., Song, D., & Perrig, A.
- Venue
- Proceedings of the 3rd international symposium on Information processing in sensor networks
- Publisher
- ACM
- Published
- 2004-04-26
- Pages
- 259-268
- OpenAlex
- W2165491783
- Cited by
- 1,305
- References
- 2
- FWCI
- 32.04
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Newsome, J., Shi, E., Song, D., & Perrig, A. (2004). The sybil attack in sensor networks: analysis & defenses. Proceedings of the 3rd international symposium on Information processing in sensor networks. https://doi.org/10.1145/984622.984660
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
