Communications of the ACM
Building Diverse Computer Systems
HOTOS '97 Proceedings of the 6th Workshop on Hot Topics in Operating Systems (HotOS-VI)
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
An Immunological Approach to Change Detection: Algorithms, Analysis and Implications
SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Revisiting Negative Selection Algorithms
Evolutionary Computation
Computer Methods and Programs in Biomedicine
V-detector: An efficient negative selection algorithm with "probably adequate" detector coverage
Information Sciences: an International Journal
Use of kernel functions in artificial immune systems for the nonlinear classification problems
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Storage-Based Intrusion Detection Using Artificial Immune Technique
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Adaptive immune response network model
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Evolving boundary detector for anomaly detection
Expert Systems with Applications: An International Journal
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
Applied Soft Computing
Artificial immune systems: an emergent technology for autonomous intelligent systems and data mining
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
Network anomaly behavior detection using an adaptive multiplex detector
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
WCIS: a prototype for detecting zero-day attacks in web server requests
LISA'11 Proceedings of the 25th international conference on Large Installation System Administration
Design of a parallel immune algorithm based on the germinal center reaction
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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The biological immune system is an intricate network of specialized tissues, organs, cells, and chemical molecules. T-cell-dependent humoral immune response is one of the complex immunological events, involving interaction of B cells with antigens (Ag) and their proliferation, differentiation and subsequent secretion of antibodies (Ab). Inspired by these immunological principles, we proposed a Multilevel Immune Learning Algorithm (MILA) for novel pattern recognition. It incorporates multiple detection schema, clonal expansion and dynamic detector generation mechanisms in a single framework. Different test problems are studied and experimented with MILA for performance evaluation. Preliminary results show that MILA is flexible and efficient in detecting anomalies and novelties in data patterns.