8 citations · 20 across the 10 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection
Julie Greensmith, Uwe Aickelin, Steve Cayzer
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 perf…
Malicious Code Execution Detection and Response Immune System inspired by the Danger Theory
Jungwon Kim, Julie Greensmith, Jamie Twycross +1
The analysis of system calls is one method employed by anomaly detection systems to recognise malicious code execution. Similarities can be drawn between this process and the behav…
Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm
Julie Greensmith, Uwe Aickelin, Gianni Tedesco
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. Resear…