Title

Energy-Efficient Pipelined Bloom Filters For Network Intrusion Detection

Abstract

Software-based detection techniques are commonly used to identify the predefined signatures in network streams. However, the software-based techniques can not keep up with the speeds that network bandwidth increases. Hence, hardwarebased systems have started to emerge. Bloom filters are frequently used to identify malicious content like viruses in high speed networks. However, architectures proposed to implement Bloom filters are not power efficient. We propose a new Bloom filter architecture that exploits the well-known pipelining technique. Through extensive power analysis we show that pipelining can reduce the power consumption of Bloom filters up to 90 %, which leads to the energy-efficient implementation of network intrusion detection systems. © 2006 IEEE.

Publication Date

12-1-2006

Publication Title

IEEE International Conference on Communications

Volume

5

Number of Pages

2382-2387

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICC.2006.255126

Socpus ID

42549112184 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/42549112184

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