参考文献

参考文献

[1]中国互联网络发展状况统计报告[EB/OL].http：//www.cac.gov.cn/2018-01/31/c_1122347026.htm.

[2]我国信息安全行业发展趋势分析[EB/OL].http：//www.esafety.org.cn/images/aqal1.html.

[3]习近平：把我国从网络大国建设成为网络强国[EB/OL].http：//www.cac.gov.cn/2014-04/24/c_126430399.htm.

[4]国家网络空间安全战略[EB/OL].http：//www.cac.gov.cn/2016-12/27/c_1120195926.htm.

[5]任维武，张波辰，底晓强，等.基于人工蜂群优化的密度聚类异常入侵检测算法[J].吉林大学学报（理学版），2018，v.56；No.229（01）：101-106.

[6]徐杨，袁峰，林琪，等.基于混合人工免疫算法的流程挖掘事件日志融合方法[J].软件学报，2018，29（2）：396-416.

[7]邱卫，杨英杰，汪永伟，等.基于改进遗传算法和隐Markov模型的协议异常检测方法[J].计算机应用研究，2016，v.33；No.294（04）：210-214.

[8]屈洪春，王帅.一种基于进化神经网络的混合入侵检测模型[J].计算机科学，2016，043（0z1）：335-338.

[9]贾凡，孔令智.基于卷积神经网络的入侵检测算法[J].北京理工大学学报，2017，37（12）：1271-1275.

[10]徐甫.基于可信根的计算机终端免疫模型[J].电子学报，2016，44（3）：653-657.

[11]程春玲，柴倩，徐小龙，等.一种用于病毒检测的协作免疫网络算法[J].电子学报，2013（12）：200-204.

[12]李琳，尚文利，姚俊，等.单类支持向量机在工业控制系统入侵检测中的应用研究综述[J].计算机应用研究，2016（1）：7-11.

[13]张燕燕.现代免疫学概论[M].北京：科学出版社，2017.

[14]左伋，刘艳平.细胞生物学[M].北京：人民卫生出版社，2015.

[15]李春艳.免疫学基础[M].北京：科学出版社，2012.

[16]于爱莲，王月丹.病原生物与免疫学[M].北京：北京大学医学出版社，2015.

[17]刘若辰，钮满春，焦李成.一种新的人工免疫网络算法及其在复杂数据分类中的应用[J].电子与信息学报，2010（3）：11-17.

[18]袁明新，叶兆莉，程帅，等.干扰素调节的多机器人协作搬运免疫网络算法[J].智能系统学报，2014（1）：76-82.

[19]行小帅，潘进，焦李成.基于免疫规划的K-means聚类算法[J].计算机学报，2003（5）：94-99.

[20]高旭，桂志鹏，隆玺，等.KDSG-DBSCAN：一种基于K-D Tree和Spark GraphX的高性能DBSCAN算法[J].地理与地理信息科学，2017，33（6）：1-7.

[21]江海峰，庄健，刘竹林.概率论与数理统计[M].合肥：中国科学技术大学出版社，2013.

[22]罗斯.应用随机过程：概率模型导论[M].北京：人民邮电出版社，2011.

[23]王秀磊，陈鸣，邢长友，等.一种防御DDoS攻击的软件定义安全网络机制[J].软件学报，2016，27（12）：3104-3119.

[24]肖人彬，王磊.人工免疫系统：原理、模型、分析及展望[J].计算机学报，2002，25（12）：1281-1293.

[25]莫宏伟，左兴权.人工免疫系统[M]，北京：科学出版社，2009.

[26]周椿入，刘晓明，雷敏，等.Web服务器应用层慢速DDoS攻击防御研究[J].北京邮电大学学报，2017，40：77-80.

[27]Li T.Dynamic detection for computer virus based on immune system[J].中国科学：f辑英文版，2008，51（10）：1475-1486.

[28]YingT，PengtaoZ.Immunebasedcomputervirusdetection approaches[J].智能系统学报，2013，8（1）：80-94.

[29]Qiao R，Seaborn M.A New Approach for Rowhammer Attacks[C]//Host.IEEE，2016..

[30]Bosman E，Razavi K，Bos H，et al.Dedup Est Machina:Memory Deduplication as an Advanced Exploitation Vector[C]//Proc.of the 37th IEEE Symposium on Security and Privacy.IEEE，2016..

[31]Apostolos F，Lidia P F，Odysseas K.Exploiting Hardware Vulnerabilities to Attack Embedded System Devices:a Survey of Potent Microarchitectural Attacks[J].Electronics，2017，6（3）:52.

[32]Hector Gomez，AndresAmaya，Elkim Roa.DRAM row-hammer attack reduction using dummy cells[C]//Nordic Circuits＆Systems Conference.IEEE，2016.

[33]Aweke Z B，Yitbarek S F，Qiao R，et al.ANVIL:Software-Based Protection Against Next-Generation Rowhammer Attacks[J].ACM SIGOPS Operating Systems Review，2016，50（2）:743-755.

[34]Wen H J，Tarn，Jyh-Horng Michael.Internet security:a case study of firewall selection[J].Information Management＆Computer Security，1998，6（4）:178-184.

[35]Elmallah E S，Gouda M G.Hardness of Firewall Analysis[J].IEEE Transactions on Dependable＆Secure Computing，2017，14（3）:339-349.

[36]Choi，Mi-Jung，Hong，et al.A secure web-based global management system for firewall/VPN devices[J].Communications＆Networks Journal of，2002，4（1）:71-78.

[37]Er.Narender Kumar Naryal，Er.Satinderjit Kaur Gill.Security Issues in the Firewall Authentication caused by the Wireshark-A Protocol Analyzer Tool[J].international journal of computer science＆mobile computing，2014，3（8）:18-23.

[38]Richards K.Network based intrusion detection:A review of technolo-gies[J].Computers＆Security，1999，18（8）:671-682.

[39]RebeccaBace.Intrusion Detection[J].Computerworld，1999，3（1）:1-29.

[40]Shabtai A，Kanonov U，Elovici Y，et al.“Andromaly”:a behavioral malware detection framework for android devices[J].journal of intelligent information systems，2012，38（1）:161-190.

[41]Ahmed M，Mahmood A N，Hu J.A Survey of Network Anomaly Detection Techniques[J].Journal of Network and Computer Applications，2015，60:19-31.

[42]Balasaraswathi V R，Sugumaran M，Hamid Y.Feature selection techniques for intrusion detection using non-bio-inspired and bio-inspired optimization algorithms[J].Journal of Communications＆Information Networks，2017，2（4）:107-119.

[43]Kim G，Lee S，Kim S.A novel hybrid intrusion detection method integrating anomaly detection with misuse detection[J].Expert Systems with Application，2014，41（4pt.2）:1690-1700.

[44]Moon D，Pan S B，Kim I.Host-based intrusion detection system for secure human-centric computing[J].Journal of Supercomputing，2016，72（7）:2520-2536.

[45]ByungRae Cha.Host anomaly detection performance analysis based on system call of NeuroFuzzy using Soundex algorithm and N-gram technique[C]//SystemsCommunications，2005.Proceedings.IEEEComputer Society，2005.

[46]Wonghirunsombat E，Asawaniwed T，Hanchana V，et al.A centralized management framework of network-based Intrusion Detection and Prevention System[C]//Computer Science and Software Engineering（JCSSE），2013 10th International Joint Conference on.IEEE，2013.

[47]Singh A P，Singh M D.Analysis of Host-Based and Network-Based Intrusion Detection System[J].international journal of computer network＆information security，2014，6（8）:41-47.

[48]Kshirsagar D，Sawant S，Wadje R，et al.Distributed Intrusion Detection System for TCP Flood Attack[M].Proceeding of International Conference on Intelligent Communication，Control and Devices.Springer Singapore，2017.

[49]Mehmood Y，Shibli M A，Kanwal A，et al.Distributed intrusion detection system using mobile agents in cloud computing environment[C]//2015 Conference on Information Assurance and Cyber Security（CIACS）.IEEE，2015.

[50]Wang M，Li Z，Lin Y.A Distributed Intrusion Detection System for Cognitive Radio Networks Based on Evidence Theory[C]//2017 IEEE International Conference on Software Quality，Reliability and Security Companion（QRSC）.IEEE，2017.

[51]Yong H，Feng Z X.Expert System Based Intrusion Detection System[C]//International Conference on Information Management，Innovation Management＆Industrial Engineering.IEEE，2010.

[52]Yost J R.The March of IDES:Early History of Intrusion-Detection Expert Systems[J].IEEE annals of the history of computing，2016，38（4）:42-54.

[53]Ye N，Emran S M，Chen Q，et al.Multivariate Statistical Analysis of Audit Trails for Host-Based Intrusion Detection[J].IEEE Transactions on Computers，2002，51（7）:810-820.

[54]Ho C Y，Wang F Y，University N C T，et al.Statistical Analysis of False Positives and False Negatives from Real Traffic with Intrusion Detection/Prevention Systems[J].ieee communications magazine，2012，50（3）:146-154.

[55]Verma，Abhishek，Ranga，Virender.Statistical analysis of CIDDS-001 dataset for Network Intrusion Detection Systems using Distance-based Machine Learning[J].Procedia Computer Science，2018，125:709-716.

[56]Zhang B C，Hu G Y，Zhou Z J，et al.Network Intrusion Detection Based on Directed Acyclic Graph and Belief Rule Base[J].Etri Journal，2017，39（4）:592-604.

[57]Turner C，Jeremiah R，Richards D，et al.A Rule Status Monitoring Algorithm for Rule-Based Intrusion Detection and Prevention Systems[J]，Pro-cedia Computer Science，2016，95:361-368.

[58]Zheng J.“Soft-Man”and Data Mining based Distributed Intrusion Detection System[J].International Journal of Security＆Its Applications，2016，10（8）:145-150.

[59]Kaur，Ravneet，Singh，Sarbjeet.A survey of data mining and social network analysis based anomaly detection techniques[J].egyptian informatics journal，2016，17（2）:199-216.

[60]Peng K，Leung V C M，Huang Q.Clustering Approach Based on Mini Batch Kmeans for Intrusion Detection System over Big Data[J].IEEE Access，2018（99）:1-1.

[61]Jain C，Saxena A K.General Study of Mobile Agent Based Intrusion Detection System（IDS）[J].Journal of Computer and Communications，2016，4（4）:93-98.

[62]Shah B，Trivedi B H.Improving Performance of Mobile Agent Based Intrusion Detection System[C]//Fifth International Conference on Advanced Computing＆Communication Technologies.IEEE，2015.

[63]Dash，Tirtharaj.A study on intrusion detection using neural networks trained with evolutionary algorithms[J].Soft Computing，2017，21（10）:2687-2700.

[64]Hu L，Zhang Z，Tang H，et al.An improved intrusion detection framework based on Artificial Neural Networks[C]//International Conference on Natural Computation.IEEE，2015.

[65]ForrestS，Perelson A S，Allen L，et al.Self-nonselfdiscrimination in a computer[C].Proceedings of the1994 IEEE Symposium on Research in Securiiy andPrivacy，LosAlamitos，CAIEEEComputerSocietyPress，1994:202-212.

[66]Zitar R A，Hamdan A.Genetic optimized artificial immune system in spam detection:a review and a model[J].Artificial Intelligence Review，2013，40（3）:305-377.

[67]Wu H.Artificial immune systems based intrusion detection algorithm for cloud environment[J].Boletin Tecnico/Technical Bulletin，2017，55（1）:11-17.

[68]Hu X，Liu X，Li T，et al.Dynamically real-time intrusion detection algorithm with immune network[J].Journal of Computational Information Systems，2015，11（2）:587-594.

[69]Hofmeyr S A.An Immunological Model of Distributed Detection and Its Application to Computer Security[D].Department of Computer Sciences，University of New Mexico，1999.

[70]Wu J，Peng D，Li Z，et al.Network Intrusion Detection Based on a General Regression Neural Network Optimized by an Improved Artificial Immune Algorithm[J].Plos One，2015，10（3）:e0120976.

[71]Al-Yaseen W L，Othman Z A，Nazri M Z A.Multi-level hybrid support vector machine and extreme learning machine based on modified K-means for intrusion detection system[J].Expert Systems with Applications，2017，67:296-303.

[72]Aparicio-Navarro F J，Kyriakopoulos K G，Gong Y，et al.Using Pattern-of-Life as Contextual Information for Anomaly-Based Intrusion Detection Systems[J].IEEE Access，2017，5:22177-22193.

[73]Alkasassbeh M.An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods[J].journal of theoretical＆applied information technology，2017，95（22）:5962-5976.

[74]Dong R H，Wu D F，Zhang Q Y，et al.Mutual Information-based Intrusion Detection Model for Industrial Internet[J].International Journal of Network Security，2018，20（1）:131-140.

[75]Varma P R K，Kumari V V，Kumar S S.Feature Selection Using Relative Fuzzy Entropy and Ant Colony Optimization Applied to Real-time Intrusion Detection System[J].Procedia Computer Science，2016，85:503-510.

[76]Tavallaee M，Stakhanova N，Ghorbani A A.Toward Credible Evaluation of Anomaly-Based Intrusion-Detection Methods[J].IEEE Transactions on Systems Man＆Cybernetics Part C，2010，40（5）:516-524.

[77]Waqas H，Gideon C，Yi X，et al.Windows Based Data Sets for E-valuation of Robustness of Host Based Intrusion Detection Systems（IDS）to Zero-Day and Stealth Attacks[J].Future Internet，2016，8（3）:29.

[78]Yang Y，Xu H Q，Gao L，et al.Multidimensional Intrusion Detection System for IEC 61850-Based SCADA Networks[J].IEEE Transactions on Power Delivery，2017，32（2）:1068-1078.

[79]Lin，Qiuzhen，Chen，Jianyong，Zhan，ZhiHui，et al.A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems.[J].IEEE transactions on evolutionary computation，2016，20（5）:711-729.

[80]Samigulina G A，Samigulina Z I.Modified immune network algorithm based on the Random Forest approach for the complex objects control[J].Artificial Intelligence Review，2018（1）:1-17.

[81]Lin Q，Ma Y，Chen J，et al.An adaptive immune-inspired multiobjective algorithm with multiple differential evolution strategies[J].Information Sciences，2018，430-431:46-64.

[82]Lizondo D，Rodriguez S，Will，Adrián，et al.An Artificial Immune Network for Distributed Demand-Side Management in Smart Grids[J].Information Sciences，2018，438:32-45.

[83]Lin C Y，Roberts G W，Kift-Morgan A，et al.Pathogen-Specific Local Immune Fingerprints Diagnose Bacterial Infection in Peritoneal Dialysis Patients[J].Journal of the American Society of Nephrology，2013，24（12）:2002-2009.

[84]Hofmeyr S A，Forrest S.Architecture for an Artificial Immune System[J].Evolutionary Computation，2000，8（4）:443-473.

[85]Turk，J L.A History of Immunology[M].Elsevier/Academic Press，2009.

[86]Reimold A M，Iwakoshi N N，Manis J，et al.Plasma cell differentiation requires the transcription factor XBP-1[J].Nature，2001，412（6844）:300-307.

[87]Crouse J，Bedenikovic G，Wiesel M，et al.Type I Interferons Pro-tect T Cells against NK Cell Attack Mediated by the Activating Receptor NCR1[J].Immunity，2014，40（6）:961-973.

[88]Li J.Medical Immunology[J].Journal of the American Medical Association，2007，298（14）:1699-1704.

[89]Litman G W，Rast J P，Shamblott M J，et al.Phylogenetic diversification of immunoglobulin genes and the antibody repertoire[J].Mol.Biol.Evol.1993-01，10（1）:60-72.

[90]Bita Sahaf，Dmitry Tebaykin，Melissa Hopper，et al.Ibrutinib-Mediated Inhibition of cGVHD Pathogenic Pre-Germinal Center B-Cells and Follicular Helper Cells While Preserving Immune Memory and Th1 T-Cells[J].Biology of Blood＆Marrow Transplantation，2018，24（3）:S20-S21.

[91]Perelson A S，Immune Network Theory[J].Immunological Reviews，1989，110:5-36.

[92]Morita C T，Jin C，Sarikonda G，et al.Nonpeptide antigens，presentation mechanisms，and immunological memory of human Vγ2Vδ2 T cells:discriminating friend from foe through the recognition of prenyl pyrophosphate antigens[J].Immunological Reviews，2007，215（1）:59-76.

[93]Alizadeh E，Meskin N，Khorasani K.A Negative Selection Immune System Inspired Methodology for Fault Diagnosis of Wind Turbines[J].IEEE Transactions on Cybernetics，2016:1-15.

[94]Kuo R J，Chang J W.Intelligent RFID positioning system through immune-based feed-forward neural network[J].Journal of Intelligent Manufacturing，2013，26（4）:755-767.

[95]Jerne N K.Idiotypic networks and other preconceived ideas[J].Immunological Reviews，1984，79（1）:5-24.

[96]Stantchev V，Prieto-Gonzalez L，Tamm G.Cloud computing service for knowledge assessment and studies recommendation in crowdsourcing and collaborative learning environments based on social network analysis[J].Computers in Human Behavior，2015，51PB（OCT.）:762-770.

[97]Yuan M X，Zhang PP，Li H Y，et al.A New Artificial Immune Net-work Model for Mobile Robot Path Planning[J].Applied Mechanics＆Materials，2013，416-417:757-761.

[98]Geoffrey，W，Hoffmann.A neural network model based on the analogy with the immune system[J].Journal of Theoretical Biology，1986，122（1）:33-67.

[99]Chen B，Zang C Z.Emergent damage pattern recognition using immune network theory[J].Smart Structures＆Systems，2011，8（8）:413-424.

[100]Ishiguro A，Kuboshiki S，Ichikawa S，et al.Gait control of hexapod walking robots using mutual-coupled immune networks[J].Advanced Robotics，1995，10（2）:179-195.

[101]Chowdhury D，Chakrabarti B K.Robustness of the network models of immune response[J].Physica A Statistical Mechanics＆Its Applications，1990，167（3）:635-640.

[102]Doku，Isamu.On a Random Model for Immune Response:Toward a Modeling of Antitumor Immune Responses（Theory of Biomathematics and its Applications VII）[J].physical review d particles＆fields，2005，71（3）:034012-034012.

[103]KimJ，Bentley P J.Towards an artificial immune system for network intrusion detection:an investigation of clonal selection with a negative selection operator[C]//Congress on Evolutionary Computation，2001，30（6）:1244-1252.

[104]Behzad S，Fotohi R，Balov J H，et al.An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks[J].Journal of Computers，2018，13（6）:705-720.

[105]Hashemipour M S，Soleimani S A.Artificial immune system based on adaptive clonal selection for feature selection and parameters optimisation of support vector machines[J].Connection ence，2016，28（1）:47-62.

[106]Bagga P，Hans R，Sharma V.A Biological Immune System（BIS）inspired Mobile Agent Platform（MAP）security architecture[J].Expert Systems with Applications，2017，72:269-282.

[107]Leandro N De，FERNANDO J.VON ZUBEN.Immune and neural network models:Theoretical and empirical comparisons[J].International Journal of Computational Intelligence and Applications，2001，1（3）:239-257.

[108]AJ Hussain，D Al-Jumeily，H Al-Askar.N Radi，Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction[J].Neurocomputing，2016，188:23-30.

[109]Jamali S，Fotohi R.DAWA:Defending against wormhole attack in MANETs by using fuzzy logic and artificial immune system[J].Journal of Supercomputing，2017（1）:1-24.

[110]Shang R，Tian P，Jiao L，et al.A Spatial Fuzzy Clustering Algorithm With Kernel Metric Based on Immune Clone for SAR Image Segmentation[J].IEEE Journal of Selected Topics in Applied Earth Observations＆Remote Sensing，2016，9（4）:1640-1652.

[111]Presbitero A，Krzhizhanovskaya V，Mancini E，et al.Immune System Model Calibration by Genetic Algorithm[J].Procedia Computer Science，2016，101:161-171.

[112]John K.Inman.Multispecificity of the antibody combining region and antibody diversity[J].immune system，1974:37-52.

[113]Osmond D G.The turn-over of B-cell populations[J].Immunology Today，1993，14（1），34-37.

[114]Schwarz A，Balint B，Korporal-Kuhnke M，et al.B-cell populations discriminate between pediatric-and adult-onset multiple sclerosis[J].Neurology Neuroimmunology Neuroinflammation，2017，4（1）:e309.

[115]Borowik B，Borowik B，Kucwaj J，et al.Associative memory in artificial immune systems[J].annales umcs informatica，2010，10（2）:111-122.

[116]Farber D L，Netea M G，Radbruch A，et al.Immunological memory:lessons from the past and a look to the future[J].Nature Reviews Immunology，2016，16（2）:124-128.

[117]Staniford-Chen，S.The Common Intrusion Detection Framework（cdif）[C]//Position Paper of Information Survivability Workshop，1998.

[118]Wu L Y，Li S L，Gan X S，et al.Network anomaly intrusion de-tection CVM model based on PLS feature extraction[J].Kongzhi yu Juece/Control and Decision，2017，32（4）:755-758.

[119]Wang L，Tang N，Gao X，et al.Understanding the immune system architecture and transcriptome responses to southern rice black-streaked dwarf virus in Sogatella furcifera[J].Scientific Reports，2016，6:36254.

[120]Golovko V，Komar M，Sachenko A.Principles of neural network artificial immunesystemdesigntodetectattacksoncomputers[C]//International Conference on Modern Problems of Radio Engineering，Telecommunications＆Computer Science.IEEE，2010.

[121]Harmer P K，Williams P D，Gunsch G H，et al.Artificial immune system architecture for computer security applications[J].IEEE Transactions on Evolutionary Computation，2002，6（3）:252-280.

[122]Stepney S，Smith R E，Timmis J，et al.Towards a Conceptual Framework for Artificial Immune Systems[J].Lecture Notes in Computer Science，2016，3239:53-64.

[123]Lu T L，Zheng K F，LiuY Q et al.Virus detection model based on dynamic clonal selection algorithm[J].Journal of Beijing University of Posts＆Telecommunications，2013，36（3）:39-43.

[124]Kalbhor M，Shrivastava S，Ujjainiya B.An artificial immune system with local feature selection classifier for spam filtering[C]//2013 Fourth International Conference on Computing，Communications and Networking Technologies（ICCCNT）.IEEE，2013.

[125]Richard W.T.Pomfret.Associative Memory in an Immune-Based System.[C]//Twelfth Aaai National Conference on Artificial Intelligence.AAAI Press，1994.

[126]Cordeiro C A，Vieira E L M，Castro V M，et al.T cell immunoregulation in active ocular toxoplasmosis[J].Immunology Letters，2017，184:84-91.

[127]Zainal K，Jali M Z.A Perception Model of Spam Risk Assessment Inspired by Danger Theory of Artificial Immune Systems[C]//Elsevier B.V.2015:152-161.

[128]Anandkumar A，Devaraj H.Tumour Immunomodulation:Mucins in Resistance to Initiation and Maturation of Immune Response Against Tumours[J].Scandinavian Journal of Immunology，2013，78（1）:1-7.

[129]Ou C M.An artificial immune-memory model based on idiotypic immune networks:Perspectives on antibody dynamics[J].Applied Mathematical Modelling，2016，40（23-24）:10210-10221.

[130]Callard R，Yates A.Cell death and the maintenance of immunological memory[J].Discrete＆Continuous Dynamical Systems，2001，1（1）:43-59.

[131]Das S，Gui M，Pahwa A.Artificial Immune Systems for Self-Nonself Discrimination:Application to Anomaly Detection[M].Advances of Computational Intelligence in Industrial Systems.1970.

[132]Chen M H，Chang P C，Wu J L.A population-based incremental learning approach with artificial immune system for network intrusion detection[J].Engineering Applications of Artificial Intelligence，2016，51:171-181.

[133]Ye N，Li X，Chen Q，et al.Probabilistic techniques for intrusion detection based on computer audit data[J].IEEE Transactions on Systems Man＆Cybernetics Part A，2001，31（4）:0-274.

[134]Lippmann R，Haines J W，Fried D J，et al.The 1999 DARPA off-line intrusion detection evaluation[J].Computer Networks，2000，34（4）:579-595.

[135]Kamarudin M H，Maple C，Watson T.Hybrid feature selection technique for intrusion detection system[J].International Journal of High Performance Computing and Networking，2019，13（2）:232.

[136]Zuech R，Khoshgoftaar T M，Wald R.Intrusion detection and Big Heterogeneous Data:a Survey[J].Journal of Big Data，2015，2（1）:3.

[137]Louvieris P，Clewley N，Liu X.Effects-based feature identification for network intrusion detection[J].Neurocomputing，2013，121（dec.9）:265-273.

[138]Banerjee U，Arya K V.Optimizing Operating Cost of an Intrusion Detection System[J].Intl J of Communications Network＆System Sciences，2013，6（1）:29-36.

[139]Yuan S，Liu P，Zhao E.Research on Security Protection of the CommunicationNetworkforSpaceTT＆CBasedonTCP/IPProtocol Vulnerabilities[C]//Conference of Spacecraft Tt＆c Technology in China，.Springer，Singapore，2016.

[140]Nalavade K.Denial of Service on TCP/IP Security Protocols:Vulnerabilities，Tools and Countermeasures[J].International Journal of Data＆Network Security，2014，4（1）.

[141]Aburomman A A，Reaz M B I.Ensemble of binary SVM classifiers based on PCA and LDA feature extraction for intrusion detection[C]//2016 IEEE Advanced Information Management，Communicates，Electronic and Automation Control Conference（IMCEC）.IEEE，2016.

[142]Jongsuebsuk P，Wattanapongsakorn N，Charnsripinyo C.Real-time intrusion detection with fuzzy genetic algorithm[C]//International Conference on Electrical Engineering/electronics，Computer，Telecommunications＆Information Technology.IEEE，2013.

[143]Dimitrov V，Korotkich V.Fuzzy Logic:A Framework for the New Millennium[J].Studies in Fuzziness and Soft Computing，2002，81.

[144]Liu，Zhijun，Pu，et al.The analysis of application of data mining technology in the system of intrusion detection[J].International Journal of Technology Management，2014（6）:4-5.

[145]Ding Y，Fu X.Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm[J].Neurocomputing，2016，188（5）:233-238.

[146]Iswardani A，Riadi I.Denial of Service Log Analysis Using Density K-Means Method[J].Journal of Theoretical＆Applied Information Technology，2016，2083（2）:299-302.

[147]Sathiya G，Kavitha P.An efficient enhanced k-means approach with improved initial cluster centers[J].Middle East Journal of Scientific Research，2014，20（4）:485-491.

[148]Chen X，Liu W，Qiu H，et al.APSCAN:A parameter free algorithm for clustering[J].Pattern Recognition Letters，2011，32（7）:973-986.

[149]Wu C，Gu Y，Yu G.DPSCAN:Structural Graph Clustering Based on Density Peaks[M].Database Systems for Advanced Applications.Springer，Cham，2019.

[150]Zhang W，He H，Cao B.Identifying and evaluating the internet opinion leader community based on k-clique clustering[J].Neural Computing and Applications，2013，25（3-4）:595-602.

[151]Chaudhary A，Tiwari V N，Kumar A.A New Intrusion Detection System Based on Soft Computing Techniques Using Neuro-Fuzzy Classifier for Packet Dropping Attack in MANETs[J].International Journal of Network Security，2016，18（3）:514-522.

[152]Miyakawa M.Analysis of Incomplete Data in Competing Risks Model[J].IEEE Transactions on Reliability，1984，R-34（4）:293-296.

[153]Khan I，Huang J Z，Ivanov K.Incremental density-based ensemble clustering over evolving data streams[J].Neurocomputing，2016，191:34-43.

[154]Rani M S，Sumathy S.Analysis of KNN，C5.0 and one class svm for intrusion detection system[J].International Journal of Pharmacy and Technology，2016，8（4）:26251-26259.

[155]Liu Y，Wan M，Zhang S，et al.Research of the Network Information Monitoring System Based on P2DR Model[C]//Second International Conference on Computer Modeling＆Simulation.IEEE Computer Society，2010.

[156]Beg A H，Islam M Z.Novel crossover and mutation operation in genetic algorithm for clustering[C]//IEEE Congress on Evolutionary Computation.IEEE，2016.

[157]Qiu X，Xu J X，Tan K C，et al.Adaptive Cross-Generation Differential Evolution Operators for Multiobjective Optimization[J].IEEE transactions on evolutionary computation，2016，20（2）:232-244.

[158]Somani G，Gaur M S，Sanghi D，et al.DDoS attacks in cloud computing[J].Computer Communications，2017，107（C）:30-48.

[159]Suresh S，Sankar Ram N.Feasible DDoS attack source traceback scheme by deterministic multiple packet marking mechanism[J].Journal of Su-percomputing，2018:1-15.

[160]Genge B，Enachescu C.ShoVAT:Shodan-based vulnerability assessment tool for Internet-facing services[J].Security＆Communication Networks，2016，9（15）:2696-2714.

[161]MacV ek N，Milosavljevic′M.Reducing U2R and R2L Category False Negative Rates with Support Vector Machines[J].Serbian Journal of Electrical Engineering，2014，11（1）:175-188.

[162]SalemD.Cost-Sensitive Access Control for Detecting Remote to Local（R2L）and User to Root（U2R）Attacks[J].International Journal of Emerging Trends＆Technology in Computer Science，2017，43（2）:124-129.

[163]Liu J，Yu J，Shen S.Energy-efficient two-layer cooperative defense scheme to secure Sensor-Clouds[J].IEEE Transactions on Information Forensics＆Security，2017:1-1.

[164]DeepakKumar，NikhilKumar.AnApproachforCollaborative Decision in Distributed Intrusion Detection System[J].International Journal of Computer Applications，2016（133）:8-14.

[165]Yang B.The data clustering based dynamic risk identification of biological immune system:mechanism，method and simulation[J].Cluster Computing，2018（7330）:1-14.

[166]Banerjee S.An Immune System Inspired Theory for Crime and Violence in Cities[J].Interdisciplinary Description of Complex Systems，2017，15（1）:133-143.

[167]Zheng D，Li F，Zhao T.Self-adaptive statistical process control for anomaly detection in time series[J].Expert Systems with Application，2016，57（9）:324-336.

[168]Mahbod Tavallaee，Ebrahim Bagheri，Wei Lu，et al.A detailed analysis of the KDD CUP 99 data set[C]//IEEE International Conference on Computational Intelligence for Security＆Defense Applications.IEEE，2009.

[169]Yoon S，Choo H L，et al.Behavior-Based Detection for Malicious Script-Based Attack[C]//International Conference on Computer Science＆Its Applications.Springer Singapore，2016.

[170]Gupta S，Gupta B B.Cross-Site Scripting（XSS）attacks and defense mechanisms:classification and state-of-the-art[J].International Journal of System Assurance Engineering＆Management，2017:1-19.

[171]Lecun Y，Bengio Y，Hinton G.Deep learning[J].Nature，2015，521（7553）:436.

[172]Garea A S，Heras D B，Argüello F.Caffe CNN-based classification of hyperspectral images on GPU[J].Journal of Supercomputing，2018（3）:1-13.