摘要
近年来,移动终端的普及带来了Android系统的飞速发展,也成为恶意软件的主要攻击目标,给Android系统带来严重安全威胁.针对恶意软件的威胁等级问题,应用卡方检验算法和频数统计提取安全威胁特征,提出了一种基于改进AHP-模糊算法对Android应用安全等级评估的方案.通过三角模糊数和解模糊对评判等级的区间进行量化,提高了评估结果的分辨率;同时通过变异系数法对指标权重进行修正,使权值更加科学、客观和精确.实验结果表明,改进的AHP-模糊评估算法具有高效的安全威胁检测性能.
In recent years,the popularization of mobile terminal brought the rapid development of Android system and the main target of malicious software,which poses a serious security threat to the Android system.Threat level against malicious software,the chi-square algorithm and frequency statistics was usedtoextractsecurity threat feature,an algorithm was put forward,based on improved AHP and fuzzy safety grade evaluation scheme for Android applications.By means of triangle fuzzy number and fuzzy number,the interval of the evaluation level was quantified,and the resolution of the evaluation result was improved.At the same time,the index weight was modified by the variation coefficient method to make the weights more scientific,objective and accurate.The experimental results show that the improved AHP-fuzzy evaluation algorithm has high performance security threat detection.
作者
杨清
李元歌
Yang Qing;Li Yuange(College of Computer Science and Engineering,Hunan University of Science and Technology,Xiangtan 411201,China)
出处
《湖南科技大学学报（自然科学版）》
CAS
北大核心
2018年第4期105-112,共8页
Journal of Hunan University of Science And Technology：Natural Science Edition
