Predicting the Unpredictable: The Art of Anomaly Detection in SDN Networks: Vulnerability Analysis Perspective
€ 64.5
描述
Security has become a serious concern which impedes the widespread adoption of Software-defined Networks (SDN) in real production. The new network architecture introduces new potential attack surfaces that did not exist before or are harder to exploit. One of the most common and serious types of attacks is Distributed Denial of Service (DDoS) attack, which can prevent normal users from accessing their network services. If the attacker successfully floods the SDN controller with a massive number of requests, the entire network turns into a ‘body with no brain’. Therefore, detecting these attacks is considered one of the most essential topics for the anomaly detection community. Anomaly detection commonly performs classification based on heuristics or rules.