通信技术
通信技術
통신기술
COMMUNICATIONS TECHNOLOGY
2014年
8期
925-929
,共5页
方忠进%夏志华%周舒
方忠進%夏誌華%週舒
방충진%하지화%주서
关联规则%云安全%FP-Growth算法%数据挖掘
關聯規則%雲安全%FP-Growth算法%數據挖掘
관련규칙%운안전%FP-Growth산법%수거알굴
association rule%cloud security%FP-Growth algorithm%data mining
针对传统安全防护技术存在的被动防御、效率较低的缺陷，提出了一种基于关联规则挖掘的智能云防护技术。该技术引入一种改进的FP-Growth挖掘算法，用来提取数据的特征信息，提交到云端，通过将此特征信息与入侵特征库和网络正常活动行为特征库进行匹配，从而发现病毒和攻击行为。特征库根据庞大的云探针系统采集的数据样本不断更新完善。实验结果表明，基于改进的FP-Growth挖掘算法的智能云防护技术对攻击行为响应较快，检测效率较高，准确记录攻击日志，具有较好的安全防护性能。
針對傳統安全防護技術存在的被動防禦、效率較低的缺陷，提齣瞭一種基于關聯規則挖掘的智能雲防護技術。該技術引入一種改進的FP-Growth挖掘算法，用來提取數據的特徵信息，提交到雲耑，通過將此特徵信息與入侵特徵庫和網絡正常活動行為特徵庫進行匹配，從而髮現病毒和攻擊行為。特徵庫根據龐大的雲探針繫統採集的數據樣本不斷更新完善。實驗結果錶明，基于改進的FP-Growth挖掘算法的智能雲防護技術對攻擊行為響應較快，檢測效率較高，準確記錄攻擊日誌，具有較好的安全防護性能。
침대전통안전방호기술존재적피동방어、효솔교저적결함，제출료일충기우관련규칙알굴적지능운방호기술。해기술인입일충개진적FP-Growth알굴산법，용래제취수거적특정신식，제교도운단，통과장차특정신식여입침특정고화망락정상활동행위특정고진행필배，종이발현병독화공격행위。특정고근거방대적운탐침계통채집적수거양본불단경신완선。실험결과표명，기우개진적FP-Growth알굴산법적지능운방호기술대공격행위향응교쾌，검측효솔교고，준학기록공격일지，구유교호적안전방호성능。
According to the limit of passive defense and low detection efficiency of traditional security tech-nology, an intelligent cloud protection technology based on association rule mining is proposed. An im-proved FP-Growth algorithm is applied to extract the feature information of data. The feature information is matched with intrusion feature database and normal activities feature database to detect viruses and attacks. Feature database is continuously updated and improved according to the data samples collected by the huge cloud probe system. Experimental results show that the intelligent cloud protection technology based on the improved FP-Growth algorithm can detect attacks in time, and record attack log accurately. It has a high detection efficiency and good protection performance.
