Predicting DDoS attacks: How deep learning could give defenders an early warning

Distributed denial-of-service (DDoS) attacks remain one of the most common and disruptive forms of cybercrime. Defenders have traditionally focused on detecting these attacks once they are underway. New research suggests that predicting DDoS attacks in advance may be possible, giving security teams a head start in planning their defenses. A new study outlines an approach to forecasting DDoS activity using deep learning. The researchers from Universiti Malaya and Universiti Teknikal Malaysia Melaka analyzed 192,525 DDoS … More →

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