Introducing Adjuvants to Dendritic Cell Algorithm for Stealthy Malware Detection

摘要：

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.

关键词： Adjuyants Dendritic Cell Algorithm (DCA) Stealthy Malware Artificial Immune System (AIS)

作者: Jun Fu Huan Yang

作者单位: The 28th Research Institute of CETC, Nanjing, China

会议类型: 国际会议

会议名称: 2012 Fifth International Symposium on Computational Intelligence and Design 第五届计算智能与设计国际会议 ISCID 2012

会议地点: 杭州

会议语种:英文

页码: 596-600

在线出版日期: 2012-10-28（万方平台首次上网日期，不代表论文的发表时间）