Visual analytics with decision tree on network traffic flow for botnet detection

• Main Authors: Muhammad, Muhammad Khairul Rijal, Mohd. Azmi, Nurulhuda Firdaus, Amir Sjarif, Nilam Nur, Ismail, Saiful Adli, Ya’acob, Suraya, Che Mohd. Yusof, Rasimah
• Format: Article
• Language: English
• Published: International Center for Scientific Research and Studies 2018
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/86502/1/MuhammadKhairulRijal2018_VisualAnalyticswithDecisionTreeonNetwork.pdf; http://eprints.utm.my/id/eprint/86502/; http://home.ijasca.com/data/documents/4_Pg_72-91_Visual-Analytics-with-Decision-Tree-on-Network-Traffic-Flow-for-Botnet-Detection.pdf

Visual analytics (VA) is an integral approach combining visualization, human factors, and data analysis. VA can synthesize information and derive insight from massive, dynamic, ambiguous and often conflicting data. Thus, help discover the expected and unexpected information. Moreover, the visualizat...