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The immune system provides a rich metaphor for computer security: anomaly detection that works in nature should work for machines. However, early artificial immune system approaches for computer security had only limited success. Arguably,…

Artificial Intelligence · Computer Science 2010-07-05 Jamie Twycross , Uwe Aickelin

The detection of anomalies in unknown environments is a problem that has been approached from different perspectives with variable results. Artificial Immune Systems (AIS) present particularly advantageous characteristics for the detection…

Cryptography and Security · Computer Science 2021-09-14 Pedro Pinacho-Davidson , Matías Lermanda , Ricardo Contreras , María A. Pinninghoff

The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection,…

Artificial Intelligence · Computer Science 2010-07-05 Feng Gu , Uwe Aickelin , Julie Greensmith

The human immune system has numerous properties that make it ripe for exploitation in the computational domain, such as robustness and fault tolerance, and many different algorithms, collectively termed Artificial Immune Systems (AIS), have…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , Amanda Whitbrook , Uwe Aickelin

The immune system provides an ideal metaphor for anomaly detection in general and computer security in particular. Based on this idea, artificial immune systems have been used for a number of years for intrusion detection, unfortunately so…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin , Julie Greensmith

The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. Firstly, the human immune system provides the human body with a high level of protection from invading pathogens, in a robust,…

Cryptography and Security · Computer Science 2013-05-31 Uwe Aickelin , Julie Greensmith , Jamie Twycross

As one of the solutions to intrusion detection problems, Artificial Immune Systems (AIS) have shown their advantages. Unlike genetic algorithms, there is no one archetypal AIS, instead there are four major paradigms. Among them, the…

Cryptography and Security · Computer Science 2013-06-03 Feng Gu , Julie Greensmith , Uwe Aickelin

The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. Firstly, the human immune system provides the human body with a high level of protection from invading pathogens, in a robust,…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Jungwon Kim , Peter J. Bentley , Uwe Aickelin , Julie Greensmith , Gianni Tedesco , Jamie Twycross

Over the last few years, more and more heuristic decision making techniques have been inspired by nature, e.g. evolutionary algorithms, ant colony optimisation and simulated annealing. More recently, a novel computational intelligence…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin

We present ideas about creating a next generation Intrusion Detection System based on the latest immunological theories. The central challenge with computer security is determining the difference between normal and potentially harmful…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin , Peter Bentley , Steve Cayzer , Kim Jungwon , Julie McLeod

Security in computer networks is one of the most interesting aspects of computer systems. It is typically represented by the initials CIA: confidentiality, integrity, and authentication or availability. Although, many access levels for data…

Networking and Internet Architecture · Computer Science 2015-11-02 Jaderian Morteza , Moradzadeh Hossein , Madadipouya Kasra , Firoozinia Mohammad , Shamshirband Shahaboddin

Biologically-inspired methods such as evolutionary algorithms and neural networks are proving useful in the field of information fusion. Artificial Immune Systems (AISs) are a biologically-inspired approach which take inspiration from the…

Artificial Intelligence · Computer Science 2010-07-05 Jamie Twycross , Uwe Aickelin

Testing and code reviews are known techniques to improve the quality and robustness of software. Unfortunately, the complexity of modern software systems makes it impossible to anticipate all possible problems that can occur at runtime,…

Software Engineering · Computer Science 2021-01-08 Moeen Ali Naqvi , Merve Astekin , Sehrish Malik , Leon Moonen

Artificial immune systems primarily mimic the adaptive nature of biological immune functions. Their ability to adapt to varying pathogens makes such systems a suitable choice for various robotic applications. Generally, AIS-based robotic…

Robotics · Computer Science 2012-02-21 Ali Raza , Benito R. Fernandez

Network intrusion detection is the problem of detecting unauthorised use of, or access to, computer systems over a network. Two broad approaches exist to tackle this problem: anomaly detection and misuse detection. An anomaly detection…

Neural and Evolutionary Computing · Computer Science 2012-08-03 Simon T. Powers , Jun He

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self or non-self substances. It does this with the help of…

Neural and Evolutionary Computing · Computer Science 2013-08-26 Uwe Aickelin , Dipankar Dasgupta , Feng Gu

In recent years computer systems have become increasingly complex and consequently the challenge of protecting these systems has become increasingly difficult. Various techniques have been implemented to counteract the misuse of computer…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , Uwe Aickelin , Jamie Twycross

The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an Artificial Immune System (AIS) that exploits some of these characteristics and is applied to the task of…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Steve Cayzer , Uwe Aickelin

As the communication industry has connected distant corners of the globe using advances in network technology, intruders or attackers have also increased attacks on networking infrastructure commensurately. System administrators can attempt…

Cryptography and Security · Computer Science 2012-11-21 Monowar H. Bhuyan , D. K. Bhattacharyya , J. K. Kalita

A sensor network is a collection of wireless devices that are able to monitor physical or environmental conditions. These devices (nodes) are expected to operate autonomously, be battery powered and have very limited computational…

Networking and Internet Architecture · Computer Science 2016-11-17 Martin Drozda , Sven Schaust , Helena Szczerbicka
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