Immune system approaches to intrusion detection – a review

By Uwe Aickelin, Julie Greensmith, Jamie Paul Twycross. Natural Computing, 2004

539 citations recorded by the source corpus.

The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. First, the human immune system provides the human body with a high level of protection from invading pathogens, in a robust, self-organised and distributed manner. Second, current techniques used in computer security are not able to cope with the dynamic and increasingly complex nature of computer systems and their security. It is hoped that biologically inspired approaches in this area, including the use of immune-based systems will be able to meet this challenge. Here we review the algorithms used, the development of the systems and the outcome of their implementation. We provide an introduction and analysis of the key developments within this field, in addition to making suggestions for future research.

Subfields: Biomedical Engineering, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/0df5b68da64f9fea6f78683aa5e7b7c3eb99a4cf

How researchers see this paper

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

In Biomedical Engineering

1. Leandro Nunes de Castro
2. Julie Greensmith
3. Uwe Aickelin
4. Steve Cayzer
5. J. Mccall

In Computer Networks and Communications

1. Steve Cayzer
2. Julie Greensmith
3. Uwe Aickelin
4. Harry Wechsler
5. Leandro Nunes de Castro
6. Indrė Žliobaitė

In Signal Processing

1. Steve Cayzer
2. Julie Greensmith
3. Uwe Aickelin
4. Harry Wechsler
5. Indrė Žliobaitė
6. Chengjun Liu

Citations in the corpus

• Learning under Concept Drift: an Overview (2010, background): “Artificial immune systems are widely considered for intrusion detection[77].”
• Cyberspace Security Using Adversarial Learning and Conformal Prediction (2015, background): “Second, computer security techniques “are not able to cope with the dynamic and increasingly complex nature of computer systems and their security” [46].”
• Fundamentals of natural computing: an overview (2007, background): “[6] all have published survey papers, reports or bibliographies of artificial immune systems and their applications.”
• Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection (2005, methodology): “A DC model is expected to work in partnership with a T cell system within the larger framework of a distributed immune inspired security system[3].”