Zero-day DDoS Attack Detection

• URL: http://arxiv.org/abs/2208.14971v1
• Date: Wed, 31 Aug 2022 17:14:43 GMT
• Title: Zero-day DDoS Attack Detection
• Authors: Cameron Boeder and Troy Januchowski
• Abstract summary: This project aims to solve the task of detecting zero-day DDoS attacks by utilizing network traffic that is captured before entering a private network. Modern feature extraction techniques are used in conjunction with neural networks to determine if a network packet is either benign or malicious.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The ability to detect zero-day (novel) attacks has become essential in the network security industry. Due to ever evolving attack signatures, existing network intrusion detection systems often fail to detect these threats. This project aims to solve the task of detecting zero-day DDoS (distributed denial-of-service) attacks by utilizing network traffic that is captured before entering a private network. Modern feature extraction techniques are used in conjunction with neural networks to determine if a network packet is either benign or malicious.

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