Countermeasure of attack vectors using signature-based IDS in IoT environments

Taj Uddin Sheikh, Hasina Rahman, Hamed Saleh Al-Qahtani, Tapan Kumar Hazra, Nazim Uddin Sheikh

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The security threats in the Internet-of-Things (IoT) environment are increasing exponentially with the growth of its applications in diverse disciplines. Due to the inherent nature of resource constrained attributes, IoT networks are susceptible to enormous cyber attacks such as DDoS attack. Though there are many existing solutions to detect and mitigate its devastating impact, most of the solutions are neither suitable in the IoT environment not resilient against collaborative large-scale attacks. In addition, the existing mechanisms do not enable efficiently detecting novel attack vectors. Thus, it necessitates to design a robust and efficient alternative detection model such as based on deep learning applications. The hypothetical model should enable detecting unknown attack patterns that could be thwarted efficiently. In this paper, we analyze the major challenges that might incur in deploying existing solutions in the IoT environment. We also discuss some limitations of proposed techniques that are compatible within IoT networks. In this paper we demonstrate the use of an optimized pattern recognition algorithm to detect such attacks. Furthermore, we propose an Intrusion Detection System (IDS) methodology and design architecture for Internet of Things that makes the use of this search algorithm to thwart various security breaches. Numerical results are presented from tests conducted with the aid of NSL KDD cup dataset showing the efficacy the IDS.

Original languageEnglish
Title of host publication2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019
EditorsSatyajit Chakrabarti, Himadri Nath Saha
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1130-1136
Number of pages7
ISBN (Electronic)9781728125305
DOIs
Publication statusPublished - 2019
Event10th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019 - Vancouver, Canada
Duration: 17 Oct 201919 Oct 2019

Publication series

Name2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019

Conference

Conference10th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019
CountryCanada
CityVancouver
Period17/10/1919/10/19

Keywords

  • Intrusion Detection System
  • IoT
  • network security
  • Signature-Based-Detection

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  • Cite this

    Sheikh, T. U., Rahman, H., Al-Qahtani, H. S., Kumar Hazra, T., & Sheikh, N. U. (2019). Countermeasure of attack vectors using signature-based IDS in IoT environments. In S. Chakrabarti, & H. N. Saha (Eds.), 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019 (pp. 1130-1136). (2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2019). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IEMCON.2019.8936231