TY - GEN
T1 - Parallel network intrusion detection on reconfigurable platforms
AU - Xue, Chun Jason
AU - Shao, ZiIi
AU - Liu, MeiLin
AU - Zhuge, QingFeng
AU - Sha, Edwin H.-M.
PY - 2007
Y1 - 2007
N2 - With the wide adoption of internet into our everyday lives, internet security becomes an important issue. Intrusion detection at the network level is an effective way of stopping malicious attacks at the source and preventing viruses and worms from wide spreading. The key component in a successful network intrusion detection system is a high performance pattern matching engine that can uncover the malicious activities in real time. In this paper, we propose a highly parallel, scalable hardware based network intrusion detection system, that can handle variable pattern length efficiently and effectively. Pattern matchings are completed in O (log M) time where M is the longest pattern length. Implementation is done on a standard off-the-shelf FPGA. Comparison with the other techniques shows promising results. © IFIP International Federation for Information Processing 2007.
AB - With the wide adoption of internet into our everyday lives, internet security becomes an important issue. Intrusion detection at the network level is an effective way of stopping malicious attacks at the source and preventing viruses and worms from wide spreading. The key component in a successful network intrusion detection system is a high performance pattern matching engine that can uncover the malicious activities in real time. In this paper, we propose a highly parallel, scalable hardware based network intrusion detection system, that can handle variable pattern length efficiently and effectively. Pattern matchings are completed in O (log M) time where M is the longest pattern length. Implementation is done on a standard off-the-shelf FPGA. Comparison with the other techniques shows promising results. © IFIP International Federation for Information Processing 2007.
UR - https://www.scopus.com/pages/publications/38149123360
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-38149123360&origin=recordpage
U2 - 10.1007/978-3-540-77092-3_8
DO - 10.1007/978-3-540-77092-3_8
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783540770916
VL - 4808 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 75
EP - 86
BT - Embedded and Ubiquitous Computing
PB - Springer Verlag
T2 - 2007 IFIP International Conference on Embedded and Ubiquitous Computing (EUC 2007)
Y2 - 17 December 2007 through 20 December 2007
ER -