Parallel Network Intrusion Detection on Reconfigurable Platforms

Abstract

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.