Can I read Multi-layer Perceptron for Intrusion Detection Using Simulated Annealing on EtoBox?

Multi-layer Perceptron for Intrusion Detection Using Simulated Annealing by Sarra Cherfi; Ammar Boulaiche; Ali Lemouari is a book available to read on EtoBox.

What is Multi-layer Perceptron for Intrusion Detection Using Simulated Annealing about?

Today, due to the evolution of technology and the use of the Internet on a large scale, securing everything is becoming an unavoidable necessity and a challenge for most companies. And since the traditional means of security have become insufficient due to the increase in the number and types of computer attacks that appear almost daily, researchers in the field of computer security are busy developing security tools based on artificial intelligence concepts to detect new attacks. In this work, we proposed a binary classification method for intrusion detection that has a high accuracy, precision and recall rates. This approach is based on multi-layer perceptron using both pearson correlation coefficient and simulated annealing for selecting attributes from the three datasets used for genarating and evaluating this model which are: NSL-KDD, UNSW-NB15 and CICIDS2017. We obtained 97,02% accuracy for NSL-KDD, 92,32% accuaracy for UNSW-NB15 and 97,70% for CICIDS2017.

Author

Sarra Cherfi; Ammar Boulaiche; Ali Lemouari

Publisher

Springer International Publishing Springer

Published

2022

Language

EN

ISBN

9783031185168

Subjects

Science, Computer Science, Engineering