基于免疫危险理论的手机恶意软件检测模型
Mobile Malware Detection Model Based on Immune Danger Theory
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摘要: 为了提高智能手机恶意软件检测的自适应性和有效性，该文提出了基于免疫危险理论的手机恶意软件检测模型，该模型由4个部分组成：数据采集、危险信号生成、共刺激信号生成和预警部分，针对不同的恶意软件，采用微分方法表达危险信号，由自适应抗原提呈细胞产生相应的共刺激信号，最后对恶意软件产生预警.通过实验验证了该文模型的自适应性和有效性.Abstract: In order to improve the adaptability and effectiveness of malware detection in mobile phones, a mobile malware detection model based on immune danger theory has been proposed in this paper. The model consists of four parts:data acquisition part, hazard signal generation part, co-stimulation signal generation part and warning part. Using differential method to express different dangerous signals, then the model produce corresponding co-stimulatory signals according to adaptive antigen presenting cells, and finally give early warning to malware. The experiment verifies the adaptability and effectiveness of this model.
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Key words:
- mobile phone /
- immune danger theory /
- antigen presenting cells /
- malware detection .
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