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» Modelling danger and anergy in artificial immune systems
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ISW
2010
Springer
13 years 3 months ago
Artificial Malware Immunization Based on Dynamically Assigned Sense of Self
Computer malwares (e.g., botnets, rootkits, spware) are one of the most serious threats to all computers and networks. Most malwares conduct their malicious actions via hijacking t...
Xinyuan Wang, Xuxian Jiang
JNW
2006
108views more  JNW 2006»
13 years 5 months ago
System-Level Fault Diagnosis Using Comparison Models: An Artificial-Immune-Systems-Based Approach
The design of large dependable multiprocessor systems requires quick and precise mechanisms for detecting the faulty nodes. The problem of system-level fault diagnosis is computati...
Mourad Elhadef, Shantanu Das, Amiya Nayak
ICARIS
2005
Springer
13 years 10 months ago
Polymorphism and Danger Susceptibility of System Call DASTONs
We have proposed a metaphor “DAnger Susceptible daTa codON” (DASTON) in data subject to processing by Danger Theory (DT) based Artificial Immune System (DAIS). The DASTONs are ...
Anjum Iqbal, Mohd Aizaini Maarof
CORR
2010
Springer
206views Education» more  CORR 2010»
13 years 5 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook
ICARIS
2005
Springer
13 years 10 months ago
Towards a Conceptual Framework for Innate Immunity
Innate immunity now occupies a central role in immunology. However, artificial immune system models have largely been inspired by adaptive not innate immunity. This paper reviews ...
Jamie Twycross, Uwe Aickelin