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Method of construction of fuzzy tree of solutions for network protection against DoS-attacks

An Intrusion Detection System is a tool that can detect intrusions into a host, network, and application. DoS attack is one of the most common network attacks. During this time, the host sends a huge number of packages per machine and thus slows down the network and the host. There are a number of algorithms for detecting DoS attacks, and most of these solutions generate a high number of false alarms. The paper considers a new method of constructing a fuzzy solution tree for monitoring network flow in case of Smurf, Mail-Bomb and Ping-of-Death attacks. Intrusion Detection System (IDS) is a tool that can detect instances of intrusion into a host, network, and application. DDoS attack is one of the most common network attacks. During it, hosts send a huge number of packages per machine and thus slow down the network and host. There are several algorithms for detecting such attacks, and most of these solutions are based on mechanisms to generate a high number of false alarms. Most anti-attack solutions are monitoring and analyzing packages within the network instead of network traffic. The paper proposes a fuzzy decision tree that can detect four types of DDoS attacks by analyzing the network flow. The proposed architecture is the basis for the development and implementation of a protection