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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

Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system. Research into this family of cells has revealed that they perform the role of coordinating T-cell based immune responses,…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , Uwe Aickelin , Steve Cayzer

The immune system is a cognitive system of complexity comparable to the brain and its computational algorithms suggest new solutions to engineering problems or new ways of looking at these problems. Using immunological principles, a two (or…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 P. J. Costa Branco , J. A. Dente , R. Vilela Mendes

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

Dendritic cells are the crime scene investigators of the human immune system. Their function is to correlate potentially anomalous invading entities with observed damage to the body. The detection of such invaders by dendritic cells results…

Artificial Intelligence · Computer Science 2010-07-05 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

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-cells or non-self cells. It does this with the help…

Artificial Intelligence · Computer Science 2010-07-05 Uwe Aickelin , Dipankar Dasgupta

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

The Dendritic Cell Algorithm (DCA) is inspired by the function of the dendritic cells of the human immune system. In nature, dendritic cells are the intrusion detection agents of the human body, policing the tissue and organs for potential…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , Uwe Aickelin , Steve Cayzer

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-cells or non-self cells. It does this with the help…

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

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

The Dendritic Cell algorithm (DCA) is inspired by recent work in innate immunity. In this paper a formal description of the DCA is given. The DCA is described in detail, and its use as an anomaly detector is illustrated within the context…

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

The adaptive immune system of vertebrates can detect, respond to, and memorize diverse pathogens from past experience. While the clonal selection of T helper (Th) cells is the simple and established mechanism to better recognize new…

Populations and Evolution · Quantitative Biology 2021-03-17 Takuya Kato , Tetsuya J. Kobayashi

Through natural evolution, nervous systems of organisms formed near-optimal structures to express behavior. Here, we propose an effective way to create control agents, by \textit{re-purposing} the function of biological neural circuit…

Neural and Evolutionary Computing · Computer Science 2017-11-10 Mathias Lechner , Radu Grosu , Ramin M. Hasani

T cells are central to the adaptive immune response, capable of detecting pathogenic antigens while ignoring healthy tissues with remarkable specificity and sensitivity. Quantitatively understanding how T cell receptors (TCRs) discriminate…

Molecular Networks · Quantitative Biology 2025-11-25 François X. P. Bourassa , Sooraj Achar , Grégoire Altan-Bonnet , Paul François

A major contribution to the onset and development of autoimmune disease is known to come from infections. An important practical problem is identifying the precise mechanism by which the breakdown of immune tolerance as a result of immune…

Quantitative Methods · Quantitative Biology 2018-05-21 F. Fatehi Chenar , Y. N. Kyrychko , K. B. Blyuss

Cytotoxic T lymphocytes eliminate infected or malignant cells, safeguarding surrounding tissues. Although experimental and systems-immunology studies have cataloged many molecular and cellular actors involved in an immune response, the…

Biological Physics · Physics 2026-03-04 Obinna A. Ukogu , Zachary Montague , Grégoire Altan-Bonnet , Armita Nourmohammad

The human body has a very effective Immune system used to protect the body from dangerous foreign pathogens. This paper aims at studying the immunology and understanding how it works, it also shaded light on the usage of the immunology…

Networking and Internet Architecture · Computer Science 2017-07-25 Almotasem Bellah Alajlouni

The US and Hungarian statistical records of the years 1900 and 1896, respectively, before the dramatic medical advances, show 32% and 27% deaths attributable to infections, whereas only 5% and 2% due to cancer. These data can be interpreted…

Molecular Networks · Quantitative Biology 2016-03-03 Tibor Bakacs , Katalin Kristof , Jitendra Mehrishi , Tamas Szabados , Csaba Kerepesi , Enikoe Regoes , Gabor Tusnady

Artificial immune systems, more specifically the negative selection algorithm, have previously been applied to intrusion detection. The aim of this research is to develop an intrusion detection system based on a novel concept in immunology,…

Artificial Intelligence · Computer Science 2016-11-17 Julie Greensmith , Jamie Twycross , Uwe Aickelin
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