Early Detection of Botnet Activities Using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Yilmaz:2019:evoapplications,

• author = "Selim Yilmaz and Sevil Sen",
• title = "Early Detection of Botnet Activities Using Grammatical Evolution",
• booktitle = "22nd International Conference, EvoApplications 2019",
• year = "2019",
• month = "24-26 " # apr,
• editor = "Paul Kaufmann and Pedro A. Castillo",
• series = "LNCS",
• volume = "11454",
• publisher = "Springer Verlag",
• address = "Leipzig, Germany",
• pages = "395--404",
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Grammatical evolution, Botnet, Flow-based detection, Evolutionary computation",
• isbn13 = "978-3-030-16691-5",
• URL = "https://web.cs.hacettepe.edu.tr/~ssen/files/papers/EvoStar19-2.pdf",
• DOI = "doi:10.1007/978-3-030-16692-2_26",
• size = "10 pages",
• abstract = "There have been numerous studies proposed for detecting botnets in the literature. However, it is still a challenging issue as most of the proposed systems are unable to detect botnets in their early stage and they cannot perform satisfying performance on new forms of botnets. In this study, we propose an evolutionary computation-based approach that relies on grammatical evolution to generate a botnet detection algorithm automatically. The performance of the proposed flow-based detection system reveals that it detects botnets accurately in their very early stage and performs better than most of the existing methods.",
• notes = "http://www.evostar.org/2019/cfp_evoapps.php EuroGP'2019 held in conjunction with EvoCOP2019, EvoMusArt2019 and EvoApplications2019",

}

Genetic Programming entries for Selim Yilmaz Sevil Sen

Citations