电脑知识与技术
電腦知識與技術
전뇌지식여기술
COMPUTER KNOWLEDGE AND TECHNOLOGY
2015年
1期
38-41,50
,共5页
吴冬惠%杨印根%李成林%吴菲
吳鼕惠%楊印根%李成林%吳菲
오동혜%양인근%리성림%오비
EFSA模型%状态协议分析%模式匹配%误检率
EFSA模型%狀態協議分析%模式匹配%誤檢率
EFSA모형%상태협의분석%모식필배%오검솔
EFSA model%State protocol analysis%Pattern matching%False positives rate
为了提高入侵检测率,降低误检率,提出了一种基于状态协议分析技术的扩展有穷状态自动机(EFSA)入侵检测模型,该模型通过构建一个EFSA来描述攻击的状态转移和变化,EFSA模型可用一个六元组表示,即M=(P,Q,Σ,W,q0,F)。通过建立该模型,一方面将接受到的数据包映射为协议状态的转换从而建立有穷状态自动机,根据被检测数据是否被自动机接受来判断攻击的存在。另一方面将待检测数据按协议分流,从而提升检测精度,减小模式匹配计算量,提高检测率。实验选取KDD CUP99做测试数据集,经测试结果表明基于EFSA模型的入侵检测方法较之基于五元组自动机检测模型具有更好的检测率和更低的误检率。
為瞭提高入侵檢測率,降低誤檢率,提齣瞭一種基于狀態協議分析技術的擴展有窮狀態自動機(EFSA)入侵檢測模型,該模型通過構建一箇EFSA來描述攻擊的狀態轉移和變化,EFSA模型可用一箇六元組錶示,即M=(P,Q,Σ,W,q0,F)。通過建立該模型,一方麵將接受到的數據包映射為協議狀態的轉換從而建立有窮狀態自動機,根據被檢測數據是否被自動機接受來判斷攻擊的存在。另一方麵將待檢測數據按協議分流,從而提升檢測精度,減小模式匹配計算量,提高檢測率。實驗選取KDD CUP99做測試數據集,經測試結果錶明基于EFSA模型的入侵檢測方法較之基于五元組自動機檢測模型具有更好的檢測率和更低的誤檢率。
위료제고입침검측솔,강저오검솔,제출료일충기우상태협의분석기술적확전유궁상태자동궤(EFSA)입침검측모형,해모형통과구건일개EFSA래묘술공격적상태전이화변화,EFSA모형가용일개륙원조표시,즉M=(P,Q,Σ,W,q0,F)。통과건립해모형,일방면장접수도적수거포영사위협의상태적전환종이건립유궁상태자동궤,근거피검측수거시부피자동궤접수래판단공격적존재。령일방면장대검측수거안협의분류,종이제승검측정도,감소모식필배계산량,제고검측솔。실험선취KDD CUP99주측시수거집,경측시결과표명기우EFSA모형적입침검측방법교지기우오원조자동궤검측모형구유경호적검측솔화경저적오검솔。
In order to improve intrusion detection rate and reduce false positives rate, an extended finite state automata (EFSA) in?trusion detection model is proposed, which is based on state protocol analysis technology.This model is constructed by a EFSA to describe attack state transition and change, and EFSA model can be used a six tuple that said, M=(P, Q,Σ,W, q0,F). Through the establishment of the model, on the one hand, it will receive the data packet mapping for the conversion of protocol state in order to establish the finite state automata, according to the detected data is accepted by the automaton to judge the existence of an at?tack. On the other hand, the data to be detected according to the protocol of shunt, so as to enhance the detection accuracy, re?duce the pattern matching calculation amount, and improve the detection rate. The experiment selected KDD CUP 99 test data sets,and the test results show that the method of Intrusion Detection Based on EFSA model comparing with five tuple automaton detection model has a better detection rate and lower false positives rate.