Title :
Introducing Adjuvants to Dendritic Cell Algorithm for Stealthy Malware Detection
Author :
Jun Fu ; Huan Yang
Author_Institution :
28th Res. Inst., CETC, Nanjing, China
Abstract :
The increase in stealth of malware has brought the Dendritic Cell Algorithm (DCA) many difficulties in malware detection. to solve this problem, in this paper we take inspiration from immunological adjuvant which can enhance the immune responses to weak antigens, and propose its counterpart namely artificial adjuvant as an improvement for the DCA. Artificial adjuvants are capable of increasing the ´immunogenicity´ of stealthy malware and accelerating the reaction of the dendritic cells (DCs). in such a way, they shed some lights for the DCA on improving the performance of stealthy malware detection in respect of not only improving the detection rate, but also helping detecting hidden malware as soon as possible.
Keywords :
artificial immune systems; invasive software; DCA; artificial adjuvant; artificial immune system; dendritic cell algorithm; hidden malware detection; immunological adjuvant; stealthy malware detection; stealthy malware immunogenicity; weak antigens; Acceleration; Immune system; Malware; Sociology; Statistics; Vaccines; Arti?cial Immune System (AIS); Dendritic Cell Algorithm (DCA); Stealthy Malware;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.156