A parallel scheme for IDS

Conventional intrusion detection systems (IDSs) face many challenges, such as evasion techniques, cryptography, false positives and high rate traffic. Many of them is resolved by parallel methods. In this paper a parallel scheme is proposed, which is to attempt to ease the workload by integrating a cluster into IDS, allowing tasks to be parallelly executed in the cluster. This increases performance even under hostile loads and enables efficient intrusion detection in high speed networks.