科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
12期
175-177
,共3页
病毒%网络%攻击%扫频
病毒%網絡%攻擊%掃頻
병독%망락%공격%소빈
virus%network%attack%frequency sweep
攻击容忍系统通过对病毒入侵路径和频率进行扫频实现对病毒的挖掘,传统的扫频方法采用相位和频率特征匹配方法进行,对网络病毒非规则方向入侵不能起到较好的掩盖作用,扫频效果不好。提出一种采用病毒传播方向聚类分析的攻击容忍系统扫频方法,构建病毒传播路径分析模型,建立病毒传播的方向性空间搜索属性序列,分析病毒传播方向聚类演化模型,实现对病毒传播和入侵传播方向聚类过程的建模,求解病毒传播方向的聚类属性的信息熵,实现攻击容忍扫频改进算法。实验结果表明,算法能有效实现对病毒传播和扩散的时间和频率等信息进行扫频分析,病毒时频特征得到有效挖掘,通过扫频检测准确率较传统该方法提高13.6%。
攻擊容忍繫統通過對病毒入侵路徑和頻率進行掃頻實現對病毒的挖掘,傳統的掃頻方法採用相位和頻率特徵匹配方法進行,對網絡病毒非規則方嚮入侵不能起到較好的掩蓋作用,掃頻效果不好。提齣一種採用病毒傳播方嚮聚類分析的攻擊容忍繫統掃頻方法,構建病毒傳播路徑分析模型,建立病毒傳播的方嚮性空間搜索屬性序列,分析病毒傳播方嚮聚類縯化模型,實現對病毒傳播和入侵傳播方嚮聚類過程的建模,求解病毒傳播方嚮的聚類屬性的信息熵,實現攻擊容忍掃頻改進算法。實驗結果錶明,算法能有效實現對病毒傳播和擴散的時間和頻率等信息進行掃頻分析,病毒時頻特徵得到有效挖掘,通過掃頻檢測準確率較傳統該方法提高13.6%。
공격용인계통통과대병독입침로경화빈솔진행소빈실현대병독적알굴,전통적소빈방법채용상위화빈솔특정필배방법진행,대망락병독비규칙방향입침불능기도교호적엄개작용,소빈효과불호。제출일충채용병독전파방향취류분석적공격용인계통소빈방법,구건병독전파로경분석모형,건립병독전파적방향성공간수색속성서렬,분석병독전파방향취류연화모형,실현대병독전파화입침전파방향취류과정적건모,구해병독전파방향적취류속성적신식적,실현공격용인소빈개진산법。실험결과표명,산법능유효실현대병독전파화확산적시간화빈솔등신식진행소빈분석,병독시빈특정득도유효알굴,통과소빈검측준학솔교전통해방법제고13.6%。
Attack tolerant system based on virus intrusion path and frequency sweep is used for mining the virus, sweep fre?quency by using the traditional method of phase and frequency feature matching method, the network virus irregular direc?tion of intrusion cannot play a good masking effects, sweep the effect is not good. The analysis using a virus propagation di?rection clustering attack tolerant system frequency sweep method, constructing the analysis model of virus propagation path, a search attribute sequence directional space to establish the transmission of the virus, virus propagation direction of cluster evolution model is constructed, modeling of the spread of the virus and intrusion propagation direction of the cluster?ing process is obtained, information entropy clustering attribute for virus propagation direction the attack tolerance, sweep algorithm is improved. The experimental results show that the algorithm can effectively realize the time and frequency on the spread of the virus and the diffusion of information such as frequency analysis, virus time-frequency features can be ef?fectively mined, by sweeping detection the accuracy is improved 13.6%.than traditional the method.