Rule based Network Intrusion Detection using Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Network Intrusion Detection Systems Using Genetic Algorithm
Intruder Detection system is so important implementations which considers all network information like temporal and spatial which make the system to build the rule for IDS. This helps for the administrator to detect complex anomalous behaviors of the system. This work is focused on the TCP/IP network protocols. Genetic Algorithm is used to generate dynamic IP for the network to avoid unauthoriz...
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This paper describes a technique of applying Genetic Algorithm (GA) to network Intrusion Detection Systems (IDSs). A brief overview of the Intrusion Detection System, genetic algorithm, and related detection techniques is presented. Parameters and evolution process for GA are discussed in detail. Unlike other implementations of the same problem, this implementation considers both temporal and s...
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متن کاملA New Method for Intrusion Detection Using Genetic Algorithm and Neural network
Abstract— In order to provide complete security in a computer system and to prevent intrusion, intrusion detection systems (IDS) are required to detect if an attacker crosses the firewall, antivirus, and other security devices. Data and options to deal with it. In this paper, we are trying to provide a model for combining types of attacks on public data using combined methods of genetic algorit...
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The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/2303-2914