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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

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

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

Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the function of Dendritic Cells (DCs). DCs are antigen presenting…

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

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

As one of the newest members in Artificial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to the field of anomaly detection. However, real-time detection, a…

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

As an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a range of problems, particularly in the area of intrusion detection. Ideally, the intrusion detection should be performed in real-time, to continuously…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Feng Gu , Julie Greensmith , 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 Dendritic Cell Algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation which results in a 'context aware' detection system.…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , Jan Feyereisl , Uwe Aickelin

Ensuring the security of computers is a non-trivial task, with many techniques used by malicious users to compromise these systems. In recent years a new threat has emerged in the form of networks of hijacked zombie machines used to perform…

Artificial Intelligence · Computer Science 2016-11-18 Yousof Al-Hammadi , Uwe Aickelin , Julie Greensmith

Theoretical analyses of the Dendritic Cell Algorithm (DCA) have yielded several criticisms about its underlying structure and operation. As a result, several alterations and fixes have been suggested in the literature to correct for these…

Machine Learning · Computer Science 2013-07-05 Feng Gu , Jan Feyereisl , Robert Oates , Jenna Reps , Julie Greensmith , Uwe Aickelin

As one of the emerging algorithms in the field of Artificial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been successfully applied to a number of challenging real-world problems. However, one criticism is the lack of a…

Neural and Evolutionary Computing · Computer Science 2013-06-03 Feng Gu , Julie Greensmith , Uwe Aickelin

As an immune-inspired algorithm, the Dendritic Cell Algorithm (DCA), produces promising performances in the field of anomaly detection. This paper presents the application of the DCA to a standard data set, the KDD 99 data set. The results…

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

As one of the newest members in the field of artificial immune systems (AIS), the Dendritic Cell Algorithm (DCA) is based on behavioural models of natural dendritic cells (DCs). Unlike other AIS, the DCA does not rely on training data,…

Artificial Intelligence · Computer Science 2016-11-26 Feng Gu , Julie Greensmith , Robert Oates , Uwe Aickelin

Network Intrusion Detection Systems (NIDS) are computer systems which monitor a network with the aim of discerning malicious from benign activity on that network. With the recent growth of the Internet such security limitations are becoming…

Networking and Internet Architecture · Computer Science 2014-01-15 Pokkuluri Kiran Sree , Inampudi Ramesh Babu

The Dendritic Cell Algorithm is an immune-inspired algorithm orig- inally based on the function of natural dendritic cells. The original instantiation of the algorithm is a highly stochastic algorithm. While the performance of the algorithm…

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

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

Dendritic cells are antigen presenting cells that provide a vital link between the innate and adaptive immune system, providing the initial detection of pathogenic invaders. Research into this family of cells has revealed that they perform…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , Uwe Aickelin , Gianni Tedesco

Dendritic Cells (DCs) are innate immune system cells which have the power to activate or suppress the immune system. The behaviour of human of human DCs is abstracted to form an algorithm suitable for anomaly detection. We test this…

Artificial Intelligence · Computer Science 2010-07-05 Julie Greensmith , 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
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