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, hardware-based 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
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Name and Venue of Conference: IEEE International Conference on Communications, Turkey
Conference Organiser: IEEE
Rose publication type: Conference contribution
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International Conference on Communications (ICC)
|Duration||1 Jun 2006 → …|