An Algorithm of Traffic Perception of DDoS Attacks against SOA Based on Time United Conditional Entropy

Abstract EN

DDoS attacks can prevent legitimate users from accessing the service by consuming resource of the target nodes, whose availability of network and service is exposed to a significant threat.

Therefore, DDoS traffic perception is the premise and foundation of the whole system security.

In this paper the method of DDoS traffic perception for SOA network based on time united conditional entropy was proposed.

According to many-to-one relationship mapping between the source IP address and destination IP addresses of DDoS attacks, traffic characteristics of services are analyzed based on conditional entropy.

The algorithm is provided with perception ability of DDoS attacks on SOA services by introducing time dimension.

Simulation results show that the novel method can realize DDoS traffic perception with analyzing abrupt variation of conditional entropy in time dimension.