An Implementation of Intrusion Detection System Using Genetic Algorithm

By Mohammad Sazzadul Hoque, Md. Abdul Mukit, Md. Abu Naser Bikas. arXiv.org, 2012

403 citations recorded by the source corpus.

Nowadays it is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. But secured data communication over internet and any other network is always under threat of intrusions and misuses. So Intrusion Detection Systems have become a needful component in terms of computer and network security. There are various approaches being utilized in intrusion detections, but unfortunately any of the systems so far is not completely flawless. So, the quest of betterment continues. In this progression, here we present an Intrusion Detection System (IDS), by applying genetic algorithm (GA) to efficiently detect various types of network intrusions. Parameters and evolution processes for GA are discussed in details and implemented. This approach uses evolution theory to information evolution in order to filter the traffic data and thus reduce the complexity. To implement and measure the performance of our system we used the KDD99 benchmark dataset and obtained reasonable detection rate.

Subfields: Computer Networks and Communications, Hardware and Architecture, Signal Processing

View Paper: https://www.semanticscholar.org/paper/cc98157b70d7cf464b880668d7694edd12188157

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Ammar Alazab
2. Ansam Khraisat
3. Joarder Kamruzzaman
4. Peter Vamplew
5. Iqbal Gondal

In Signal Processing

1. Ammar Alazab
2. Ansam Khraisat
3. Joarder Kamruzzaman
4. Peter Vamplew
5. Iqbal Gondal

Citations in the corpus

• Survey of intrusion detection systems: techniques, datasets and challenges (2019, background): “Each genome is comprised of different genes which correspond to characteristics such as IP source, IP destination, port source, port destination and 1 protocol type (Hoque & Bikas, 2012).”
• A critical review of intrusion detection systems in the internet of things: techniques, deployment strategy, validation strategy, attacks, public datasets and challenges (2021, background): “Each genome is comprised of different genes that correspond to characteristics such as IP source, IP destination, port source, port destination and 1 protocol type (Hoque & Bikas, 2012).”