关键词: 手机恶意软件, 分布式免疫模型, 反向选择, 动态克隆选择, 疫苗

Abstract: For the mobile phone malware detection problem, a distributed immune modal for Mobile Phone Malware Detection（MPMD-DIM） is proposed, which enables collaborative work between mobile phones and distributed detection servers, to detect mobile phone malwares quickly and accurately. This modal utilizes improved negative selection algorithm and dynamic clonal selection algorithm to optimize detection process, also gives immune response in time; as well as applies vaccine extracting and inoculating among distributed detection servers, making secondary immune response rapidly to accelerating detection process. Experiments demonstrate that this modal can advance detection rate of known mobile phone malwares；enhance detection accuracy rate of unknown mobile phone malwares；and implement grouping defense of mobile phones.

Key words: mobile phone malware, distributed immune modal, negative select, dynamic clonal select, vaccine