Detection of Botnet Using Intelligent Water Drop (IWD) algorithm with Hopfield‎ Neural Network

In the last few years, a number of attacks and malicious activities have been

attributed to common channels between users. A botnet is considered as an

important carrier of malicious and undesirable briskness. We propose a

support vector machine to classify botnet activities according to IWD, and

neural network clusters. The proposed approach is based on the features of

transfer control protocol packets. System performance and accuracy will

evaluated using a predefined data set. Take into consideration that it is required 1000 of samples

Skills: Algorithm, Computer Security, Engineering

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