Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing

• Published in: EURASIP journal on wireless communications and networking Vol. 2016; no. 1; pp. 1 - 10
• Main Authors: Osanaiye, Opeyemi, Cai, Haibin, Choo, Kim-Kwang Raymond, Dehghantanha, Ali, Xu, Zheng, Dlodlo, Mqhele
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 10.05.2016; Springer Nature B.V
• Subjects: Accuracy; Advances and Emergence in Participatory Sensing on Mobile Social Media Analytics; Classification; Cloud computing; Clouds; Communications Engineering; Computer information security; Decision trees; Denial of service attacks; Engineering; Information Systems Applications (incl.Internet); Intrusion; Networks; Signal,Image and Speech Processing; Filter methods; Ensemble-based multi-filter feature selection method; Cloud DDoS; Intrusion detection system; Machining learning

Widespread adoption of cloud computing has increased the attractiveness of such services to cybercriminals. Distributed denial of service (DDoS) attacks targeting the cloud’s bandwidth, services and resources to render the cloud unavailable to both cloud providers, and users are a common form of att...