Traffic Flooding Attack Detection and Classification With SNMP MIB Via SVDD and Sparse Representation
Source: Korea University
Recently, as network flooding attacks such as DoS/DDoS and Internet Worm have posed devastating threats to network services, rapid detection and proper response mechanisms are the major concern for secure and reliable network services. However, most of the current Intrusion Detection Systems (IDSs) focus on detail analysis of packet data, which results in late detection and a high system burden to cope with high-speed network traffic. In this paper, the authors propose a lightweight and fast detection mechanism for traffic flooding attacks.