Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
A Survey of Botnet Technology and Defenses
CATCH '09 Proceedings of the 2009 Cybersecurity Applications & Technology Conference for Homeland Security
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
A Survey of Botnet and Botnet Detection
SECURWARE '09 Proceedings of the 2009 Third International Conference on Emerging Security Information, Systems and Technologies
Symbiosis, complexification and simplicity under GP
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Building a dynamic reputation system for DNS
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
A Survey on Latest Botnet Attack and Defense
TRUSTCOM '11 Proceedings of the 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces
Genetic Programming and Evolvable Machines
Detecting algorithmically generated domain-flux attacks with DNS traffic analysis
IEEE/ACM Transactions on Networking (TON)
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This work investigates the detection of Botnet Command and Control (C&C) activity by monitoring Domain Name System (DNS) traffic. Detection signatures are automatically generated using evolutionary computation technique based on Stateful-SBB. The evaluation performed shows that the proposed system can work on raw variable length domain name strings with very high accuracy.