Applying Genetic Algorithm in Intrusion Detection System of IoT Applications

Vinod Jain, Mayank Agrawal

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

21 Scopus citations

Abstract

Internet of Things (IoT) is a rapidly growing technology nowadays. It has many applications in daily life equipment and used in various ways to improve the daily life of a human being. The applications of IoT is not limited to any area. The research is going to discover more areas in which IoT is applicable. The IoT applications have many areas in which there is a need to optimize things more. Intrusion Detection System is a system that monitors an internet based application for malicious activities. Genetic Algorithm is a heuristic technique to solve optimization problems. In this paper, a new approach for IDS using a genetic algorithm is proposed. The proposed algorithm is applied on a KDD99 cup data set to check its performance.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020
PublisherInstitute of Electrical and Electronics Engineers
Pages284-287
Number of pages4
ISBN (Electronic)9781728155180
DOIs
StatePublished - 1 Jun 2020
Externally publishedYes
Event4th International Conference on Trends in Electronics and Informatics, ICOEI 2020 - Tirunelveli, India
Duration: 15 Jun 202017 Jun 2020

Publication series

NameProceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020

Conference

Conference4th International Conference on Trends in Electronics and Informatics, ICOEI 2020
Country/TerritoryIndia
CityTirunelveli
Period15/06/2017/06/20

Keywords

  • Computer Security
  • Genetic Algorithm
  • Internet of Things
  • IoT Applications

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Computer Networks and Communications

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