Decision tree classifier for network intrusion detection with GA-based feature selection

By Gary Stein, Bing Chen, Annie S. Wu, Kien A. Hua. ACM Southeast Regional Conference, 2005

384 citations recorded by the source corpus.

How researchers see this paper

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Feature selection in machine learning: A new perspective (2018, background): “Feature selection, which has been a research topic in methodology and practice for decades, is used in many fields, such as image recognition [10-14], image retrieval [15-17], text mining [18-20], intrusion detection [21-23], bioinformatic data analysis [24-31], fault diagnosis [32-34], and so on.”
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions (2016, background): “Feature spaces for intrusion recognition have been explored [122]–[130].”
Classification Based on Decision Tree Algorithm for Machine Learning (2021, methodology): “Decision trees are one of the powerful methods commonly used in various fields, such as machine learning, image processing, and identification of patterns [35].”
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018, background): “The top three contestants employed DT-based solutions [421].”