activity
20082013
most citedMalicious Code Execution Detection and Response Immune System inspired by the Danger Theory

8 citations · 24 across the 13 of their papers we have counts for

collaborators
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20 papers · 1 filter

cs.AI2010

Detecting Danger: The Dendritic Cell Algorithm

Julie Greensmith, Uwe Aickelin, Steve Cayzer

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 t…

cs.AI2010★ 1 cited

Artificial Immune Systems (2010)

Julie Greensmith, Amanda Whitbrook, Uwe Aickelin

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 algorithm…

cs.AI2010★ 6 cited

The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms

Julie Greensmith, Jan Feyereisl, Uwe Aickelin

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…

cs.AI2010

The Deterministic Dendritic Cell Algorithm

Julie Greensmith, Uwe Aickelin

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…

cs.AI2010

The Application of a Dendritic Cell Algorithm to a Robotic Classifier

Robert Oates, Julie Greensmith, Uwe Aickelin +2

The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The…

cs.AI2010★ 1 cited

Performance Evaluation of DCA and SRC on a Single Bot Detection

Yousof Al-Hammadi, Uwe Aickelin, Julie Greensmith

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 servic…