An adaptive model of a distributed intrusion detection system


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

We have proposed an adaptive model of a system for detecting intrusions in a distributed computer network. The basis of the detection system consists of various data-mining methods that make it possible to classify network interaction as normal or anomalous using many attributes extracted from network traffic.

About the authors

V. V. Platonov

Peter the Great St. Petersburg Polytechnic University

Author for correspondence.
Email: plato@ibks.spbstu.ru
Russian Federation, St. Petersburg, 195251

P. O. Semenov

Peter the Great St. Petersburg Polytechnic University

Email: plato@ibks.spbstu.ru
Russian Federation, St. Petersburg, 195251

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2017 Allerton Press, Inc.