- author = "Van {Canh Vu} and Tuan-Hao Hoang",
- booktitle = "2018 10th International Conference on Knowledge and Systems Engineering (KSE)",
- title = "Detect Wi-Fi Network Attacks Using Parallel Genetic Programming",
- year = "2018",
- pages = "370--375",
- abstract = "Wi-Fi network have been widely used nowadays. However, Intrusion Detection System (IDS) researches on Wi-Fi network were few and difficult since there was no common dataset between researchers on this area. Recently, Kolias et al. [2] published a comprehensive Wi-Fi network dataset extracting from real Wi-Fi traces, which is called the AWID dataset. Gene programming has proven effective in detecting network attacks, but the processing time is quite slow. Today, the development of GPU technology for high-speed parallel processing, the study of parallel programming solutions is essential. In this paper, we examined the Parallel Genetic Programming (Karoo GP) [13] in wireless attack detection to improve detection rates and processing time. The experiments showed that the processing time of Karoo GP was significantly improved compared to standard GP.",
- keywords = "genetic algorithms, genetic programming",
-
DOI = "
doi:10.1109/KSE.2018.8573378",
- month = nov,
-
notes = "Le Quy Don Technical University Faculty of Information
Technology, Hanoi, Vietnam
Also known as \cite{8573378}",
