Intrusion Detection Algorithm of Industrial Control System Based on Improved Bloom Filter

With the upgrading of industrial manufacturing, industrial control system (ICS) is gradually changing from closed island to open, and it adopts network automation. Meantime, this change brings many risks and constant threats to ICS security. ICS is widely used in many fields closely related to people's livelihood. Once the ICS in these fields is threatened, itmay cause very serious consequences. As an active system security protection technology, intrusion detection technology can effectively make up for the shortcomings of firewall and other traditional security protection technologies. It is considered as the second security defense line of ICS. In view of limited resources of ICS equipment, there are no more resources to store the intrusion feature database and carry out complex calculation, this paper proposes an intrusion detection algorithm of ICS based on improved bloom filter (IDA-ICS-IBF). The experimental results show that the IDA-ICS-IBF algorithm has low memory occupation, fast detection speed, and can be applied to ICS environment.