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Keyword

negative selection algorithm

Description: A negative selection algorithm is an artificial immune system method that detects anomalies by identifying patterns that differ from normal data.
OpenAlex ID: keywords/negative-selection-algorithm
Recent Advances in Artificial Immune Systems: Models and Applications
2010 · Dipankar Dasgupta, Senhua Yu, et al. · Applied Soft Computing · 396
Anomaly Detection Using Real-Valued Negative Selection
2003 · Fabio A. González, Dipankar Dasgupta · Genetic Programming and Evolvable Machines · 317
Theoretical advances in artificial immune systems
2008 · J. Timmis, A. Hone, et al. · Theoretical Computer Science · 295
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Real-Valued Negative Selection Algorithm with Variable-Sized Detectors
2004 · Zhou Ji, Dipankar Dasgupta · Lecture notes in computer science · 279
Negative Selection Algorithm for Aircraft Fault Detection
2004 · D. Dasgupta, K. KrishnaKumar, et al. · Lecture notes in computer science · 204
Revisiting Negative Selection Algorithms
2007 · Zhou Ji, Dipankar Dasgupta · Evolutionary Computation · 199
A Randomized Real-Valued Negative Selection Algorithm
2003 · Fabio González, Dipankar Dasgupta, et al. · Lecture notes in computer science · 179
Artificial immune systems in industrial applications
1999 · D. Dasgupta, S. Forrest · International Conference on Intelligent Processing and Manufacturing of Materials (IPMM) · 173
Negative Selection: How to Generate Detectors
2002 · Modupe Ayara, Jon Timmis, et al. · Kent Academic Repository (University of Kent) · 156
A Comparative Study of Real-Valued Negative Selection to Statistical Anomaly Detection Techniques
2005 · Thomas Stibor, Jonathan Timmis, et al. · Lecture notes in computer science · 152
V-detector: An efficient negative selection algorithm with “probably adequate” detector coverage
2009 · Zhou Ji, Dipankar Dasgupta · Information Sciences · 142
A combined negative selection algorithm–particle swarm optimization for an email spam detection system
2014 · Ismaila Idris, Ali Selamat, et al. · Engineering Applications of Artificial Intelligence · 119
The Effect of Binary Matching Rules in Negative Selection
2003 · Fabio González, Dipankar Dasgupta, et al. · Lecture notes in computer science · 109
Integrating artificial immune algorithms for intrusion detection
2002 · Jung Kim · UCL Discovery (University College London) · 107
Anomaly detection in multidimensional data using negative selection algorithm
2003 · D. Dasgupta, N.S. Majumdar · IEEE Congress on Evolutionary Computation (CEC) · 103
Improved email spam detection model with negative selection algorithm and particle swarm optimization
2014 · Ismaila Idris, Ali Selamat · Applied Soft Computing · 96
An efficient proactive artificial immune system based anomaly detection and prevention system
2016 · Praneet Saurabh, Bhupendra Verma · Expert Systems with Applications · 95
Applicability issues of the real-valued negative selection algorithms
2006 · Zhou Ji, Dipankar Dasgupta · Genetic and Evolutionary Computation Conference (GECCO) · 95
Design of an Artificial Immune System for fault detection: A Negative Selection Approach
2010 · C.A. Laurentys, G. Ronacher, et al. · Expert Systems with Applications · 89
Hybrid email spam detection model with negative selection algorithm and differential evolution
2014 · Ismaila Idris, Ali Selamat, et al. · Engineering Applications of Artificial Intelligence · 84
A study of artificial immune systems applied to anomaly detection
2003 · Fabio A. González, Dipankar Dasgupta · 83
Chaotic-based hybrid negative selection algorithm and its applications in fault and anomaly detection
2010 · Ilhan Aydin, Mehmet Karakose, et al. · Expert Systems with Applications · 82
An efficient negative selection algorithm with further training for anomaly detection
2012 · Maoguo Gong, Jian Zhang, et al. · Knowledge-Based Systems · 77
An Artificial Immune System Approach to Misbehavior Detection in Mobile Ad Hoc Networks
2004 · Jean-Yves Le Boudec, Slaviša Sarafijanović · Lecture notes in computer science · 77
A negative selection algorithm based on hierarchical clustering of self set
2011 · Wen Chen, Tao Li, et al. · Science China Information Sciences · 76
Works count: 1,033
Citation count: 9,258
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