All Outputs (9)

Stromal fibroblasts support dendritic cells to maintain IL-23/Th17 responses after exposure to ionizing radiation (2016)
Journal Article
Malecka, A., Wang, O., Shah, S., Sutavani, R. V., Spendlove, I., Ramage, J. M., …Jackson, A. M. (2016). Stromal fibroblasts support dendritic cells to maintain IL-23/Th17 responses after exposure to ionizing radiation. Journal of Leukocyte Biology, 100(2), 381-389. https://doi.org/10.1189/jlb.3A1015-474R

Dendritic cell function is modulated by stromal cells, including fibroblasts. Although poorly understood, the signals delivered through this crosstalk substantially alter dendritic cell biology. This is well illustrated with release of TNF-0/IL-113 f... Read More about Stromal fibroblasts support dendritic cells to maintain IL-23/Th17 responses after exposure to ionizing radiation.

Theoretical formulation and analysis of the deterministic dendritic cell algorithm (2013)
Journal Article

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 formal definit... Read More about Theoretical formulation and analysis of the deterministic dendritic cell algorithm.

Quiet in class: classification, noise and the dendritic cell algorithm (2011)
Journal Article
Gu, F., Feyereisl, J., Oates, R., Reps, J., Greensmith, J., & Aickelin, U. (2011). Quiet in class: classification, noise and the dendritic cell algorithm. Lecture Notes in Artificial Intelligence, 6825, https://doi.org/10.1007/978-3-642-22371-6_17

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 findings. A... Read More about Quiet in class: classification, noise and the dendritic cell algorithm.

Recommending rides: psychometric profiling in the theme park (2010)
Journal Article
Rennick-Egglestone, S., Whitbrook, A., Greensmith, J., Walker, B., Benford, S., Marshall, J., …Rowland, D. (2010). Recommending rides: psychometric profiling in the theme park. https://doi.org/10.1145/1902593.1902600

This paper presents a study intended to inform the design of a recommender system for theme park rides. It examines the efficacy of psychometric testing for profiling theme park visitors, with the aim of establishing a set of measures to be included... Read More about Recommending rides: psychometric profiling in the theme park.

Performance evaluation of DCA and SRC on a single bot detection (2010)
Journal Article

Malicious users try to compromise systems using new techniques. One of the recent techniques used by the attacker is to perform complex distributed attacks such as denial of service and to obtain sensitive data such as password information. These com... Read More about Performance evaluation of DCA and SRC on a single bot detection.

Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm (2009)
Journal Article

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 informati... Read More about Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm.

Immune system approaches to intrusion detection - a review (2007)
Journal Article

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, self-organised and dis... Read More about Immune system approaches to intrusion detection - a review.

Sensing Danger: Innate Immunology for Intrusion Detection (2007)
Journal Article

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 far with l... Read More about Sensing Danger: Innate Immunology for Intrusion Detection.

The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms
Journal Article

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. Previous applicat... Read More about The DCA:SOMe comparison: a comparative study between two biologically-inspired algorithms.