【正文】 Merging. In Conference on Grammatical Inference, 1994. [3] William Robertson, Giovanni Vigna, Christopher Kruegel, and Richard A. Kemmerer, Using Generalization and Characterization Techniques in the Anomalybased Detection ofWeb Attacks, 2020 [4]Denning intrusiondetection Transaction on Software Engineering,1987,13(2):222232 [5]Mukherjee B,Levitt intrusion Network,1994,8(3):2641 [6 [7]Lunt .,Jagananathan R.,Lee R.,Listgarten S.,Edwards .,Javitz S.,Valdes A. IDES:The Enhanced PrototypeA RealTime IntrusionDetection Expert System. Computer Science Laboratory,SRI International,Menlo Park, SRICSL8812. [8]Anderson D.,Lunt .,Javitz H.,Tamaru A.,Valdes Unusual Program Behavior Using the Statistical Component of the Nextgeneration Intrusion Detection Expert System(NIDES).Computer Science Laboratory,SRI International, Menlo Park, SRICSL9506. [9]Anderson D.,Frivold T.,Valdes Intrusion Detection Expert System(NIDES):A Science Laboratory,SRI International, Menlo Park,CA. May, SRICSL9507. [10]Snapp .,Brentano J.,Dias .,Goan .,Heberlein .,Ho .,Levitt ., Mukherjee (Distributed Intrusion Detection System)Motivation, Architecture,and An Early Proceedings of the 14th National Computer Security Conference. [11]CLIPS Reference Lyndon Space Center,1993 [12]Porras state transition analysis tool for intrusion . thesis,Computer Science Dep.,University of California Santa Barbara,June 1992 [13]Ilgun K.,Kemmerer .,Porras tansition aalysis:a rulebased intrusion detection Transaction on Software Engineering,21(3), March 1995 [14]Ilgun :A realtime intrusion detection system for proceedings of the IEEE Symposium on Research on Security and Privacy,Oakland,CA, May 1993 [15]Kemmerer :A Modelbased Realtime Network Intrusion Detection Science Dep.,University of California Santa Barbara,Technical Report TRCS9718,November 1997 [16]Vigna G.,Kemmerer :A Networkbased Intrusion Detection System,Journal of Computer Security,7(1),IOS Press,1999 [17]Vigna G.,Kemmerer :A Networkbased Intrusion Detection Approach,in Proceedings of the 14th Annual Computer Security Application Conference,Scottsdale,Arizona,December 1998 [18 [19 [20]Paxson :A System for Detecting Network Intruders in RealTime. Proceeding of 7th USENIX Security Symposium,San Antonio,Texas,1998 [18]Lee Data Mining Framework for Constructing Features and Models for Intrusion Detection thesis,Columbia University,June 1999. [21] Lee W.,Stolfo .,Mok in a dataflow environment:experience in work intrusion detection,Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining,San Diego,California,United States,August 1518,1999, [22] Lee W.,Stolfo ..A framework for constructing features and models for intrusion detection Transactions on Information and System Security (TISSEC)archive 2020,Issue 4 Pages:227261 [23] Joo D,Hong T,Han neural work models for IDS based on the asymmetric costs of false negative errors and false positive Systems with Applications,2020,:6975 [24] Fox ,Henning ,Reed ,Simonian neural work approach towards intrusion :Proceeding of the 13th National Computer Security Conference,Washington,DC, [25] Fu, Neural Network Model for Learning RuleBased proceedings of the International Joint Conference on Neural ,pp.(I) 343348. [26] Frank Intelligence and Intrusion Detection:Current and Future Proceedings of the 17th National Computer Security Conference,1994 [27] Debar H.,Becke M.,Siboni D.(1992).A Neural Network Component for an Intrusion Detection Proceedings of the IEEE Computer Society Symposium on Research in Security and Privacy,May,1992, [28] James Neural Networks for Misuse of the 1998 National Information Systems Security Conference(NISSC39。1998. [34] Neumann :Event Monitoring Enabling Responses to Anomalous Live proceedings of National Information Systems Security Conference,October,1997. [35] Neumann .,Porras with EMERALD to First USENIX Workshop on Intrusion Detection and Network Clara, California,April,–80. [36] Stephanie F.,Hofmeyr ,Somayaji A,Longstaff sense of self for unix of the 1996 IEEE Symp on Security and Privacy,IEEE Computer Society Press,Los Alamitos,CA,1996:120128. [37] Hofmeyr S A,Forrest S,Somayaji detection using sequences of system of Computer Security,1998,6:151180 [38]Hofmeyr ,Forrest by design:an artificial immune : Proceedings of 1999 GECCO Conference,San Francisco,1999:12891296 [39] Li .,Huang Y.,Huang puting immune model based on poisson procedure and rough Journal of Computers,2020, :7176 (勵曉健，黃勇，黃厚寬基于 Poisson過程和 Rough包含的計算免疫模型。s eve I was reading the book, and had lost myself in it so pletely, that I fot my usual New Year39。 but we have a wild journey, also which is national and modern, and that is the journey to Amack on the night of the New Year. All indifferent poets and poetesses, musicians, newspaper writers, and artistic notabilities, I mean those who are no good, ride in the New Year39。 beaucoup de bruit, peu de fruit: much bruit, little fruit Yet certainly there is use of this quality, in civil affairs. Where there is an opinion, and fame to be created, either of virtue, or greatness, these men are good trumpeters. Again, as Titus Livius noteth, in the case of Antiochus, and the Aetolians。 and those mat are of solid and sobe r natures have more of the ballast, than of the sail. In fame of learning, the flight w ill be slow, without some feathers of ostentation. Q ui de contenmenda gloria libros scribunt, nomen suum inscribunt. Socrates, Aristotle, Galen, were men firil of ostentation. Certainly vainglory helpeth to perpetuate a man\39。 which is to be liberal of praise and mendation to others, in that wherein a man\39。 if he be superior, if he be not to be mended, you much less. Glorious men are the scorn of wise m