Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
A compiling genetic programming system that directly manipulates the machine code
Advances in genetic programming
ACM Transactions on Information and System Security (TISSEC)
Computer architecture: a quantitative approach
Computer architecture: a quantitative approach
A Representation for the Adaptive Generation of Simple Sequential Programs
Proceedings of the 1st International Conference on Genetic Algorithms
Dynamic Training Subset Selection for Supervised Learning in Genetic Programming
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Statistical Traffic Modeling for Network Intrusion Detection
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Results of the KDD'99 classifier learning
ACM SIGKDD Explorations Newsletter
Winning the KDD99 classification cup: bagged boosting
ACM SIGKDD Explorations Newsletter
KDD-99 classifier learning contest LLSoft's results overview
ACM SIGKDD Explorations Newsletter
The MP13 approach to the KDD'99 classifier learning contest
ACM SIGKDD Explorations Newsletter
A comparison of linear genetic programming and neural networks inmedical data mining
IEEE Transactions on Evolutionary Computation
Dynamic page based crossover in linear genetic programming
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Speeding up the Self-Organizing Feature Map Using Dynamic Subset Selection
Neural Processing Letters
802.11 network intrusion detection using genetic programming
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Genetic Programming with a Genetic Algorithm for Feature Construction and Selection
Genetic Programming and Evolvable Machines
On evolving buffer overflow attacks using genetic programming
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A hybrid artificial immune system and Self Organising Map for network intrusion detection
Information Sciences: an International Journal
Review: The use of computational intelligence in intrusion detection systems: A review
Applied Soft Computing
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An ensemble-based evolutionary framework for coping with distributed intrusion detection
Genetic Programming and Evolvable Machines
Open issues in genetic programming
Genetic Programming and Evolvable Machines
The K landscapes: a tunably difficult benchmark for genetic programming
Proceedings of the 13th annual conference on Genetic and evolutionary computation
GP ensemble for distributed intrusion detection systems
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
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Page-based Linear Genetic Programming (GP) is proposed and implemented with two-layer Subset Selection to address a two-class intrusion detection classification problem as defined by the KDD-99 benchmark dataset. By careful adjustment of the relationship between subset layers, over fitting by individuals to specific subsets is avoided. Moreover, efficient training on a dataset of 500,000 patterns is demonstrated. Unlike the current approaches to this benchmark, the learning algorithm is also responsible for deriving useful temporal features. Following evolution, decoding of a GP individual demonstrates that the solution is unique and comparative to hand coded solutions found by experts.