暂无分享,去创建一个
[1] Tao Li,et al. A negative selection algorithm based on hierarchical clustering of self set , 2011, Science China Information Sciences.
[2] Hans-Peter Kriegel,et al. Angle-based outlier detection in high-dimensional data , 2008, KDD.
[3] Fabio A. González,et al. A Randomized Real-Valued Negative Selection Algorithm , 2003, ICARIS.
[4] Li Sun,et al. A new Trojan horse detection method based on negative selection algorithm , 2012 .
[5] Rubita Sudirman,et al. EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization , 2012, MLDM.
[6] Stephanie Forrest,et al. A sense of self for Unix processes , 1996, Proceedings 1996 IEEE Symposium on Security and Privacy.
[7] Paul Helman,et al. Negative representations of information , 2009, International Journal of Information Security.
[8] Rozaida Ghazali,et al. Application of Real-Valued Negative Selection Algorithm to Improve Medical Diagnosis , 2016 .
[9] Esma Bendiab,et al. The Negative Selection Algorithm: a Supervised Learning Approach for Skin Detection and Classification. , 2010 .
[10] Mo-Yuen Chow,et al. Multi-Level Optimization Of Negative Selection Algorithm Detectors With Application In Motor Fault Detection , 2010, Intell. Autom. Soft Comput..
[11] Pan Yong-xiang. An Improved Intrusion Detection Negative Selection Immune Algorithm , 2005 .
[12] Guang-Zhong Yang,et al. Body sensor networks , 2006 .
[13] Fabio A. González,et al. An Imunogenetic Technique To Detect Anomalies In Network Traffic , 2002, GECCO.
[14] Mo-Yuen Chow,et al. A neural networks-based negative selection algorithm in fault diagnosis , 2007, Neural Computing and Applications.
[15] Michael I. Jordan,et al. Variational inference for Dirichlet process mixtures , 2006 .
[16] Hao Jiang,et al. Authentication by Encrypted Negative Password , 2019, IEEE Transactions on Information Forensics and Security.
[17] Ali Selamat,et al. Improved email spam detection model with negative selection algorithm and particle swarm optimization , 2014, Appl. Soft Comput..
[18] Zhou Ji,et al. Real-Valued Negative Selection Algorithm with Variable-Sized Detectors , 2004, GECCO.
[19] Seyedeh Negin Seyed Fakhari,et al. NSSAC: Negative selection-based self adaptive classifier , 2011, 2011 International Symposium on Innovations in Intelligent Systems and Applications.
[20] Dipankar Dasgupta,et al. Novelty detection in time series data using ideas from immunology , 1996 .
[21] Weijian Ren,et al. Research of Pump-Jack Fault Diagnosis Method Based on the Negative Selection Algorithm , 2006, 2006 6th World Congress on Intelligent Control and Automation.
[22] Vipin Kumar,et al. Feature bagging for outlier detection , 2005, KDD '05.
[23] ShimKyuseok,et al. Efficient algorithms for mining outliers from large data sets , 2000 .
[24] Rozaida Ghazali,et al. Negative Selection Algorithm: A Survey on the Epistemology of Generating Detectors , 2013, DaEng.
[25] Yasushi Makihara,et al. The largest inertial sensor-based gait database and performance evaluation of gait-based personal authentication , 2014, Pattern Recognit..
[26] Cai Zhenhua. Negative selection algorithm of fault diagnosis for hydroelectric generating set , 2006 .
[27] Mia Hubert,et al. Minimum covariance determinant and extensions , 2017, 1709.07045.
[28] Zhou Ji,et al. Applicability issues of the real-valued negative selection algorithms , 2006, GECCO '06.
[29] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[30] Khashayar Khorasani,et al. A Dendritic Cell Immune System Inspired Scheme for Sensor Fault Detection and Isolation of Wind Turbines , 2018, IEEE Transactions on Industrial Informatics.
[31] Georg Langs,et al. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery , 2017, IPMI.
[32] Jie Chen,et al. Fault Detection of Aircraft Control System Based on Negative Selection Algorithm , 2020 .
[33] Prabhakar Raghavan,et al. A Linear Method for Deviation Detection in Large Databases , 1996, KDD.
[34] D. Dasgupta,et al. Immunity-based systems: a survey , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[35] Li Tao,et al. An Antigen Space Triangulation Coverage Based Real-Value Negative Selection Algorithm , 2019, IEEE Access.
[36] Meng Wang,et al. Generative Adversarial Active Learning for Unsupervised Outlier Detection , 2018, IEEE Transactions on Knowledge and Data Engineering.
[37] Li Tao,et al. Parameter analysis of negative selection algorithm , 2017, Inf. Sci..
[38] Dipankar Dasgupta,et al. Immunological Computation: Theory and Applications , 2008 .
[39] Norita Md Norwawi,et al. An Early Warning System for Reservoir Water Release Operation Using Agent-Based Negative Selection Model , 2020 .
[40] Qi Jin,et al. A method to construct self set for IDS based on negative selection algorithm , 2011, 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC).
[41] Ngoc Thanh Nguyen,et al. A combined negative selection algorithm-particle swarm optimization for an email spam detection system , 2015, Eng. Appl. Artif. Intell..
[42] Izhar ul Haq,et al. An Improved Negative Selection Algorithm-Based Fault Detection Method , 2020, IETE Journal of Research.
[43] See-Kiong Ng,et al. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series , 2018, ArXiv.
[44] Amod Kumar,et al. Improved thresholding based on negative selection algorithm (NSA) , 2014, Evol. Intell..
[45] D. Dasgupta,et al. Advances in artificial immune systems , 2006, IEEE Computational Intelligence Magazine.
[46] Dong Li,et al. A negative selection algorithm with online adaptive learning under small samples for anomaly detection , 2015, Neurocomputing.
[47] Zengyou He,et al. Discovering cluster-based local outliers , 2003, Pattern Recognit. Lett..
[48] Tao Li,et al. An antigen space density based real-value negative selection algorithm , 2017, Appl. Soft Comput..
[49] Dong Li,et al. A boundary-fixed negative selection algorithm with online adaptive learning under small samples for anomaly detection , 2016, Eng. Appl. Artif. Intell..
[50] Tarek N. Saadawi,et al. Distributed Network Intrusion Detection Systems: An Artificial Immune System Approach , 2016, 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).
[51] Sridhar Ramaswamy,et al. Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD '00.
[52] Ying Tan,et al. A malware detection model based on a negative selection algorithm with penalty factor , 2010, Science China Information Sciences.
[53] Fuyong Zhang,et al. Integrated Negative Selection Algorithm and Positive Selection Algorithm for malware detection , 2016, 2016 International Conference on Progress in Informatics and Computing (PIC).
[54] Henri Pierreval,et al. Fault detection, diagnosis and recovery using Artificial Immune Systems: A review , 2015, Eng. Appl. Artif. Intell..
[55] Stephanie Forrest,et al. A Relational Algebra for Negative Databases , 2007 .
[56] Rogério de Lemos,et al. Negative Selection: How to Generate Detectors , 2002 .
[57] Clayton D. Scott,et al. Robust kernel density estimation , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[58] Salim Chikhi,et al. A New Negative Selection Algorithm for Adaptive Network Intrusion Detection System , 2014, Int. J. Inf. Secur. Priv..
[59] D. Wong,et al. Negative Selection Algorithm for Aircraft Fault Detection , 2004, ICARIS.
[60] John R. Williams,et al. G-NAS: A grid-based approach for negative authentication , 2014, 2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS).
[61] Hongli Deng,et al. A negative selection algorithm based on adaptive immunoregulation , 2020, 2020 5th International Conference on Computational Intelligence and Applications (ICCIA).
[62] Ali Selamat,et al. Hybrid email spam detection model with negative selection algorithm and differential evolution , 2014, Eng. Appl. Artif. Intell..
[63] Tomás Pevný,et al. Loda: Lightweight on-line detector of anomalies , 2016, Machine Learning.
[64] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[65] Yang Chunying,et al. Optimization and Application of Real-Valued Negative Selection Algorithm , 2011 .
[66] Dechang Pi,et al. BIORV-NSA: Bidirectional inhibition optimization r-variable negative selection algorithm and its application , 2015, Appl. Soft Comput..
[67] Vladimir Poulkov,et al. Multiple negative selection algorithm: Improving detection error rates in IoT intrusion detection systems , 2017, 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).
[68] Charu C. Aggarwal,et al. Outlier Analysis , 2013, Springer New York.
[69] Xiao Zhi Gao,et al. Particle Swarm Optimization of detectors in Negative Selection Algorithm , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.
[70] Daniel Jung,et al. A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation , 2019, IEEE Transactions on Control Systems Technology.
[71] Bharanidharan Shanmugam,et al. An Intelligent Spam Detection Model Based on Artificial Immune System , 2019, Inf..
[73] Abdelouahid Derhab,et al. NSNAD: negative selection-based network anomaly detection approach with relevant feature subset , 2019, Neural Computing and Applications.
[74] Zhou Ji,et al. V-detector: An efficient negative selection algorithm with "probably adequate" detector coverage , 2009, Inf. Sci..
[75] Jian Tang,et al. Enhancing Effectiveness of Outlier Detections for Low Density Patterns , 2002, PAKDD.
[76] Mo-Yuen Chow,et al. Clonal Optimization of Negative Selection Algorithm with Applications in Motor Fault Detection , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[77] Dipankar Dasgupta,et al. Password Security through Negative Filtering , 2010, 2010 International Conference on Emerging Security Technologies.
[78] Utpal Garain,et al. Recognition of Handwritten Indic Script Using Clonal Selection Algorithm , 2006, ICARIS.
[79] Yue Zhao,et al. XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).
[80] Paul Helman,et al. Enhancing Privacy through Negative Representations of Data , 2004 .
[81] Moon,et al. Estimation of mutual information using kernel density estimators. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[82] Fabio A. González,et al. An immunity-based technique to characterize intrusions in computer networks , 2002, IEEE Trans. Evol. Comput..
[83] Alan S. Perelson,et al. Self-nonself discrimination in a computer , 1994, Proceedings of 1994 IEEE Computer Society Symposium on Research in Security and Privacy.
[84] Peng Zhao,et al. A matrix negative selection algorithm for anomaly detection , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[85] Mehmet Karaköse,et al. Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection , 2010, Expert Syst. Appl..
[86] Tuan Dinh Le,et al. A Combination of Negative Selection Algorithm and Artificial Immune Network for Virus Detection , 2014, FDSE.
[87] Zhi-Hua Zhou,et al. Isolation Forest , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[88] Leandro Nunes de Castro,et al. ARTIFICIAL IMMUNE SYSTEMS: PART II - A SURVEY OF APPLICATIONS , 2000 .
[89] Cezar Ionescu,et al. COPOD: Copula-Based Outlier Detection , 2020, 2020 IEEE International Conference on Data Mining (ICDM).
[90] Muhammad Tahir Khan,et al. Multidomain Features-Based GA Optimized Artificial Immune System for Bearing Fault Detection , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[91] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[92] Andreas Dengel,et al. Histogram-based Outlier Score (HBOS): A fast Unsupervised Anomaly Detection Algorithm , 2012 .
[93] Hamid Jazayeriy,et al. Intrusion Detection systems using Real-Valued Negative Selection Algorithm with Optimized Detectors , 2019, 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS).
[94] Zhou Ji,et al. Revisiting Negative Selection Algorithms , 2007, Evolutionary Computation.
[95] Walmir M. Caminhas,et al. Design of an Artificial Immune System for fault detection: A Negative Selection Approach , 2010, Expert Syst. Appl..
[96] Zhou Ji,et al. A BOUNDARY-AWARE NEGATIVE SELECTION ALGORITHM , 2005 .
[97] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[98] Raja Chiky,et al. Anomaly Detection for Data Streams Based on Isolation Forest Using Scikit-Multiflow , 2020, ICCSA.
[99] Abbas Z. Kouzani,et al. Applications and Evaluations of Bio-Inspired Approaches in Cloud Security: A Review , 2020, IEEE Access.
[100] David M. Rocke,et al. Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator , 2004, Comput. Stat. Data Anal..
[101] Xu Min-qiang. Fault diagnosis for gas valve based on negative selection algorithm , 2006 .
[102] Dimitar Kazakov,et al. Modeling the behavior of the stock market with an Artificial Immune System , 2010, IEEE Congress on Evolutionary Computation.
[103] S. Chikhi,et al. Negative Selection Algorithm : Recent Improvements and Its Application in Intrusion Detection System , 2017 .
[104] Chen Xi. Application of negative selection mutation algorithm in E-mail filter , 2006 .
[105] Zhe Wang,et al. GF-NSA: A Negative Selection Algorithm Based on Self Grid File , 2010 .
[106] Honghua Dai,et al. An Extended Negative Selection Algorithm for Anomaly Detection , 2004, PAKDD.
[107] Wang Xu,et al. An Artificial Immune Method for Stock Market Avoiding Control of Hedge Fund , 2007, Third International Conference on Natural Computation (ICNC 2007).
[108] Heiko Hoffmann,et al. Kernel PCA for novelty detection , 2007, Pattern Recognit..
[109] Zhou Ji,et al. Artificial immune system (AIS) research in the last five years , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[110] Zhou Ji,et al. Analysis of Dental Images using Artificial Immune Systems , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[111] S.J. Ovaska,et al. Genetic Algorithms-based Detector Generation in Negative Selection Algorithm , 2006, 2006 IEEE Mountain Workshop on Adaptive and Learning Systems.
[112] Xianghua Wang,et al. A Novel Fault Diagnosis Method Based on Improved Negative Selection Algorithm , 2021, IEEE Transactions on Instrumentation and Measurement.
[113] Dipankar Dasgupta,et al. An immunogenetic approach in chemical spectrum recognition , 2003 .
[114] Mo-Yuen Chow,et al. Neural networks-based negative selection algorithm with applications in fault diagnosis , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[115] Tao Li,et al. An Outlier Robust Negative Selection Algorithm Inspired by Immune Suppression , 2010, J. Comput..
[116] Wu Bin,et al. Smartphone malware detection model based on artificial immune system , 2014, China Communications.
[117] James Brown,et al. Detection of Mobile Malware: An Artificial Immunity Approach , 2016, 2016 IEEE Security and Privacy Workshops (SPW).
[118] Tao Yang,et al. A Quick Negative Selection Algorithm for One-Class Classification in Big Data Era , 2017 .
[119] U. JothiLakshmi. A Novel Method to Detect False Financial Statement using Negative Selection Algorithm , 2014 .
[120] Tao Li,et al. Negative selection algorithm based on grid file of the feature space , 2014, Knowledge-Based Systems.
[121] Dipankar Dasgupta,et al. Artificial immune systems in industrial applications , 1999, Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296).
[122] Douglas A. Reynolds,et al. Gaussian Mixture Models , 2018, Encyclopedia of Biometrics.
[123] Salau-Ibrahim Taofeekat Tosin,et al. Negative Selection Algorithm Based Intrusion Detection Model , 2020, 2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON).
[124] Yue Zhao,et al. PyOD: A Python Toolbox for Scalable Outlier Detection , 2019, J. Mach. Learn. Res..
[125] R. O. Canham,et al. A MULTILAYERED IMMUNE SYSTEM FOR HARDWARE FAULT TOLERANCE WITHIN AN EMBRYONIC ARRAY , 2002 .
[126] Shi Wengang,et al. Negative-selection algorithm based approach for fault diagnosis of rotary machinery , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
[127] Martin Mozina,et al. Orange: data mining toolbox in python , 2013, J. Mach. Learn. Res..
[128] Alireza Nowroozi,et al. A novel sophisticated hybrid method for intrusion detection using the artificial immune system , 2021, J. Inf. Secur. Appl..
[129] D. Dasgupta,et al. Combining negative selection and classification techniques for anomaly detection , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[130] Wu Ze-jun,et al. An Artificial Immune Model for Abnormal Fluctuation of Stock Price , 2008, 2008 International Symposium on Computational Intelligence and Design.
[131] Kwee-Bo Sim,et al. Modeling of Positive Selection for the Development of a Computer Immune System and a Self-Recognition Algorithm , 2003 .
[132] Kwee-Bo Sim,et al. Negative Selection Algorithm for DNA Sequence Classification , 2004, Int. J. Fuzzy Log. Intell. Syst..
[133] Fabio A. González,et al. The Effect of Binary Matching Rules in Negative Selection , 2003, GECCO.
[134] Datong Liu,et al. UAV Sensor Fault Detection Using a Classifier without Negative Samples: A Local Density Regulated Optimization Algorithm† , 2019, Sensors.
[135] Max H. Garzon,et al. A DNA based artificial immune system for self-nonself discrimination , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
[136] Thomas S. Huang,et al. One-class SVM for learning in image retrieval , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[137] Zhao Jian-feng. Negative selection algorithm based on fuzzy control theory and genetic algorithm , 2007 .
[138] Andrew Mor-Yaroslavtsev,et al. Rolling stock location data analysis using an immune algorithm on an intelligent embedded device , 2011, 2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers.
[139] Steffen Heber,et al. Using a Novel Negative Selection Inspired Anomaly Detection Algorithm to Identify Corrupted Ribo-seq and RNA-seq Samples , 2019, BCB.
[140] Dipankar Dasgupta,et al. Tool Breakage Detection in Milling Operations using a Negative-Selection Algorithm , 1995 .
[141] Cecilia Surace,et al. Novelty detection in a changing environment: A negative selection approach , 2010 .
[142] Qi Gong,et al. Ransomware detection based on V-detector negative selection algorithm , 2017, 2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC).
[143] Yue Zhao,et al. LSCP: Locally Selective Combination in Parallel Outlier Ensembles , 2018, SDM.
[144] Dong Li,et al. Negative selection algorithm with constant detectors for anomaly detection , 2015, Appl. Soft Comput..
[145] Rongshuai Li,et al. Hybrid immune algorithm for structural health monitoring using acceleration data , 2011 .
[146] Xufei Zheng,et al. The Dual Negative Selection Algorithm Based on Pattern Recognition Receptor Theory and Its Application in Two-class Data Classification , 2013, J. Comput..
[147] Peter J. Bentley,et al. Negative selection and niching by an artificial immune system for network intrusion detection , 1999 .
[148] Xin Wang,et al. A Novel Fast Negative Selection Algorithm Enhanced by State Graphs , 2007, ICARIS.
[149] Hans-Peter Kriegel,et al. Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data , 2009, PAKDD.
[150] J. McInerney,et al. An algorithm for detecting directional and non-directional positive selection, neutrality and negative selection in protein coding DNA sequences. , 2002, Gene.
[151] Fernando Niño,et al. A Framework for Evolving Multi-Shaped Detectors in Negative Selection , 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.
[152] Paulo B. Lourenço,et al. Deterministically generated negative selection algorithm for damage detection in civil engineering systems , 2019, Engineering Structures.
[153] Mohammad Kazem Akbari,et al. Credit cards fraud detection by negative selection algorithm on hadoop (To reduce the training time) , 2013, The 5th Conference on Information and Knowledge Technology.
[154] Dipankar Dasgupta,et al. A study of artificial immune systems applied to anomaly detection , 2003 .
[155] Jinquan Zeng,et al. An Extended Negative Selection Algorithm for Unknown Malware Detection , 2016 .
[156] Wenjing Liu,et al. A Negative Selection Algorithm-Based Identification Framework for Distribution Network Faults With High Resistance , 2019, IEEE Access.
[157] Azuraliza Abu Bakar,et al. Negative selection algorithm for dengue outbreak detection , 2013 .
[158] Zhou Ji,et al. Estimating the detector coverage in a negative selection algorithm , 2005, GECCO '05.
[159] Li Tao,et al. A self-adaptive negative selection algorithm used for anomaly detection , 2009 .
[160] Paulo B. Lourenço,et al. Negative selection algorithm based methodology for online structural health monitoring , 2021 .
[161] Yuan Gao,et al. Shape-space based negative selection algorithm and its application on power transformer fault diagnosis , 2007, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[162] Stephen R. Marsland,et al. A self-organising network that grows when required , 2002, Neural Networks.
[163] M. Hassan,et al. Negative database authentication using SAT a like method , 2012, 2012 8th International Conference on Informatics and Systems (INFOS).
[164] Tao Li,et al. An immune optimization based real-valued negative selection algorithm , 2014, Applied Intelligence.
[165] Fabio A. González,et al. Anomaly Detection Using Real-Valued Negative Selection , 2003, Genetic Programming and Evolvable Machines.
[166] Salim Chikhi,et al. Clustered negative selection algorithm and fruit fly optimization for email spam detection , 2019, J. Ambient Intell. Humaniz. Comput..
[167] Jie Zhang,et al. EvoSeedRNSAII: An improved evolutionary algorithm for generating detectors in the real-valued Negative Selection Algorithms , 2014, Appl. Soft Comput..
[168] H. von Boehmer,et al. Self-nonself discrimination by T cells. , 1990, Science.