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Keyword

detector generation

Description: The creation of candidate detectors in artificial immune system algorithms, particularly for recognizing patterns or identifying intrusions.
OpenAlex ID: keywords/detector-generation
An immunological approach to change detection: algorithms, analysis and implications
1996 · Patrik D’haeseleer, Stephanie Forrest, et al. · 323
Real-Valued Negative Selection Algorithm with Variable-Sized Detectors
2004 · Zhou Ji, Dipankar Dasgupta · Lecture notes in computer science · 279
An immunological approach to change detection: algorithms, analysis and implications
2002 · P. D'haeseleer, S. Forrest, et al. · Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · 163
Negative Selection: How to Generate Detectors
2002 · Modupe Ayara, Jon Timmis, et al. · Kent Academic Repository (University of Kent) · 156
Improved email spam detection model with negative selection algorithm and particle swarm optimization
2014 · Ismaila Idris, Ali Selamat · Applied Soft Computing · 96
A negative selection algorithm based on hierarchical clustering of self set
2011 · Wen Chen, Tao Li, et al. · Science China Information Sciences · 76
Estimating the detector coverage in a negative selection algorithm
2005 · Zhou Ji, Dipankar Dasgupta · Genetic and Evolutionary Computation Conference (GECCO) · 69
Genetic algorithm with different feature selection techniques for anomaly detectors generation
2013 · Amira Sayed A. Aziz, Ahmad Taher Azar, et al. · 62
Image-based extraction of eye features for robust eye tracking
2019 · Fuhl, Wolfgang · Universitätsbibliothek Tübingen · 42
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
2005 · Joseph M. Shapiro, Gary B. Lamont, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 42
Genetic Algorithms-based Detector Generation in Negative Selection Algorithm
2006 · X. Gao, S. Ovaska, et al. · 37
When can we test less?
2004 · T. Menzies, J.D. Stefano, et al. · 35
Negative Selection Algorithm Based on Antigen Density Clustering
2020 · Chao Yang, Lin Jia, et al. · IEEE Access · 29
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GenDet: Meta Learning to Generate Detectors From Few Shots
2021 · Liyang Liu, Bochao Wang, et al. · IEEE Transactions on Neural Networks and Learning Systems · 28
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Detectors generation using genetic algorithm for a negative selection inspired anomaly network intrusion detection system
2012 · Amira Sayed A. Aziz, Mostafa A. Salama, et al. · 27
DGA-PSO: An improved detector generation algorithm based on particle swarm optimization in negative selection
2023 · Ge Zhang, Junjiang He, et al. · Knowledge-Based Systems · 24
An antigen space density based real-value negative selection algorithm
2017 · Tao Yang, Wen Chen, et al. · Applied Soft Computing · 22
Multisource Neighborhood Immune Detector Adaptive Model for Anomaly Detection
2021 · Liang Xi, Rui-Dong Wang, et al. · IEEE Transactions on Evolutionary Computation · 20
A Negative Selection Algorithm Based on Hierarchical Clustering of Self Set and its Application in Anomaly Detection
2011 · Wen Chen, Xiao-Jie Liu, et al. · International Journal of Computational Intelligence Systems · 20
Immunity-based intrusion detection system design, vulnerability analysis, and GENERTIA's genetic arms race
2005 · Haiyu Hou, Gerry Dozier · ACM Symposium on Applied Computing · 20
Negative Selection with Antigen Feedback in Intrusion Detection
2008 · Wanli Ma, Dat Tran, et al. · Lecture notes in computer science · 19
The Link between r-contiguous Detectors and k-CNF Satisfiability
2006 · T. Stibor, J. Timmis, et al. · 18
Optimal path test data generation based on hybrid negative selection algorithm and genetic algorithm
2020 · Shayma Mustafa Mohi-Aldeen, Radziah Mohamad, et al. · PLoS ONE · 17
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Phase Transition and the Computational Complexity of Generating r-Contiguous Detectors
2007 · Thomas Stibor · Lecture notes in computer science · 17
An Antigen Space Triangulation Coverage Based Real-Value Negative Selection Algorithm
2019 · Zhang Fan, Chen Wen, et al. · IEEE Access · 16
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Works count: 139
Citation count: 1,964
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