Prototyping Distributed Botnet Detection System in Computer Networks

Muhammad Aidiel Rachman Putra, Tohari Ahmad, Royyana Muslim Ijtihadie, Dandy Pramana Hostiadi

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

2 Citations (Scopus)

Abstract

Being dangerous threats and attacks in this cyber era, botnets require proper handling. Nevertheless, some bot detection models that have been proposed are centralized and can only detect at one point of attack, even though there are two known types of botnet activity: single and bot group. In fact, attacks from grouped bots can have a series of attacks with the same pattern at several different attack targets. So, it requires a distributed detection model that can detect bot attacks on some detection sensors and assemble them in the form of correlation analysis. This paper proposes a prototype distributed botnet detection model that can synchronize detection in each detection sensor and analyze a series of bot attack activities. It aims to obtain information on the series of attacks that occur at several attack points and state as a correlated botnet attack scenario. With the existence of a distributed botnet activity detection prototype, it will be able to facilitate the analysis and anticipation process from the system and network security administrators.

Original languageEnglish
Title of host publication5th International Conference on Computing and Informatics, ICCI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages292-297
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

  • Intrusion Detection System
  • bot detection correlation
  • distributed detection
  • network infrastructure
  • network security

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