A neural network model for detecting DDoS attacks using darknet traffic features
Published: Jul 1, 2016
Abstract
This paper presents a fast and large-scale monitoring system for detecting one of the major cyber-attacks, Distributed Denial of Service (DDoS). The proposed system monitors the packet traffic on a subnet of unused IPs called darknet. Almost all darknet packets are originated from malicious activities. However, it is not obvious what traffic patterns DDoS attacks have. Therefore, we adopt a classifier and train it with traffic features of known...
Paper Details
Title
A neural network model for detecting DDoS attacks using darknet traffic features
Published Date
Jul 1, 2016
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