Title :
Low-power bloom filter architecture for deep packet inspection
Author :
Kocak, Taskin ; Kaya, Ilhan
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
fDate :
3/1/2006 12:00:00 AM
Abstract :
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. In this letter, we propose a new bloom filter architecture that exploits the well-known pipelining technique. Through 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 intrusion detection systems.
Keywords :
information filters; pipeline processing; security of data; deep packet inspection; high speed network; intrusion detection system; low-power bloom filter architecture; malicious content identification; pipelining technique; power consumption; Databases; Energy consumption; Energy efficiency; Information filtering; Information filters; Inspection; Intrusion detection; Matched filters; Pipeline processing; Viruses (medical);
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2006.1603387