DoS and DDoS are two different attack types, but the final aim of the attacker remains the same. DoS attacks use one computer (attack computer) and one victim. In contrast, DDoS attacks rely on more ...

Our research project is directed towards creating an advanced detection system capable of accurately distinguishing between legitimate and malicious traffic, thereby providing a robust defense against ...

[2] This work proposes a method of DDoS attack detection based on deep belief network feature extraction and LSTM model. This technique uses deep learning to extract IP packet attributes, builds an ...

DDoS detection is a big data problem with somewhat unconstrained resources, limited only by the processing platforms. DDoS mitigation, however, is a problem where resources are constrained.

Google in the past has blocked mind-blowingly large DDoS attacks, including one in 2017 that clocked in at 2.56Tbps that is pinned on a Beijing-backed attacker. SEE: Security Awareness and ...

Distributed Denial of Service (DDoS) and Denial of Service (DoS) attacks are top cybersecurity threats that compromise the performance and security of computer networks. These malicious attacks aim to ...