Sliding Time Analysis in Traffic Segmentation for Botnet Activity Detection

Dandy Pramana Hostiadi, Tohari Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Botnets are a threat in a dangerous cyber era. Botnets involve malicious software to attack the system based on instructions from the botmaster. Previous research had introduced a botnet activity detection model, such as using activity time analysis through a sliding time-based traffic segmentation process. However, the introduced model has not analyzed the ideal time in the sliding process in the segmentation process. The sliding process is needed to detect the botnet attack activity chain correctly. This paper analyzed the ideal time in the sliding process in traffic data segmentation to detect botnet activity and obtain information about botnet attacks. It aimed to get the optimal time in the sliding process and see its effect on detection accuracy. The test was carried out using a public dataset, namely the CTU-13 dataset, based on the two detection models in previous research. The result showed that the optimal time in the sliding process was 30 minutes in both detection models, with the best scenario detection results of 231 and the best detection accuracy of 97.93%.

Original languageEnglish
Title of host publication5th International Conference on Computing and Informatics, ICCI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages286-291
Number of pages6
ISBN (Electronic)9781665499729
DOIs
Publication statusPublished - 2022
Event5th International Conference on Computing and Informatics, ICCI 2022 - New Cairo, Egypt
Duration: 9 Mar 202210 Mar 2022

Publication series

Name5th International Conference on Computing and Informatics, ICCI 2022

Conference

Conference5th International Conference on Computing and Informatics, ICCI 2022
Country/TerritoryEgypt
CityNew Cairo
Period9/03/2210/03/22

Keywords

  • Botnet detection
  • Intrusion detection systems
  • Network security
  • Slide windowing
  • Traffic segmentation

Fingerprint

Dive into the research topics of 'Sliding Time Analysis in Traffic Segmentation for Botnet Activity Detection'. Together they form a unique fingerprint.

Cite this