Skip to content
Free planNo credit card requiredStart writing

article · 2012

Detection of cache pollution attacks using randomness checks

Hyundo Park, Indra Widjaja, Heejo Lee

Cited by 45Abstract and details only

Abstract

The Internet plays an increasing role in content dissemination as user-generated contents have exploded recently. Cache servers have been deployed to bypass bottlenecks in the network so that contents can be delivered to end users more efficiently. With caches becoming more embedded in the networks, emerging threats follow naturally. A cache pollution attack is one of the most serious threats on caching networks including the current Internet and emerging caching networks such as Content Centric Networking (CCN). In this paper, we propose a detection approach against cache pollution attacks using randomness checks of a matrix. We apply an effective filtering approach and a statistical sequential analysis for detecting low-rate attacks. The results of our experiments show that our approach can detect a cache pollution attack with attack rate of only a few percent of the overall rate.

Cite this paper

APA 7

Park, H., Widjaja, I., & Lee, H. (2012). Detection of cache pollution attacks using randomness checks. https://doi.org/10.1109/icc.2012.6363885

MLA 9

Park, Hyundo, et al. “Detection of cache pollution attacks using randomness checks.” 2012, pp. 1096–100, https://doi.org/10.1109/icc.2012.6363885.

Chicago

Park, Hyundo, Indra Widjaja, and Heejo Lee. 2012. “Detection of cache pollution attacks using randomness checks.” https://doi.org/10.1109/icc.2012.6363885.

Harvard

Park, H., Widjaja, I. and Lee, H. (2012) ‘Detection of cache pollution attacks using randomness checks’. Available at: https://doi.org/10.1109/icc.2012.6363885.

BibTeX
@article{park2012detection,
  title = {{Detection of cache pollution attacks using randomness checks}},
  author = {Park, Hyundo and Widjaja, Indra and Lee, Heejo},
  pages = {1096--1100},
  year = {2012},
  doi = {10.1109/icc.2012.6363885}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.