Sinkhole Detection Using Probe Route Mechanism (SDPRM) For Internet of Things

C Linda Hepsiba; R Jemima Priyadarsini

doi:10.17485/IJST/v15i37.1156

Article

Sinkhole Detection Using Probe Route Mechanism (SDPRM) For Internet of Things

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v15i37.1156

Year: 2022, Volume: 15, Issue: 37, Pages: 1892-1899

Original Article

Sinkhole Detection Using Probe Route Mechanism (SDPRM) For Internet of Things

C Linda Hepsiba^1*, R Jemima Priyadarsini²

¹Assistant Professor, Department of Computer Science,, Bishop Heber College, Affiliated with Bharathidasan University, Trichy17, Tamilnadu, India
²Associate Professor, Department of Computer Science, Bishop Heber College, Affiliated with Bharathidasan University, Trichy17, Tamilnadu, India

*Corresponding Author
Email: [email protected]

Received Date:31 May 2022, Accepted Date:01 September 2022, Published Date:14 October 2022

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objective: To propose an Intrusion Detection System, called SDPRM (Sinkhole Detection using Probe Route Mechanism), to distinguish sinkhole assaults on the steering administrations in IoT. Methods: SDPRM intends to moderate unfriendly impacts initiate in IDS which troubled the routine tasks. The proposed architecture has the node ranker, notoriety and trust systems for recognition of assailants by examining the way of behaving of gadgets. Probe routing mechanism along with cluster configuration of the IoT gadgets are used to detect the SH attack. The probability density function is used to detect the behaviour of the gadgets present in the IoT environment. To demonstrate the efficiency of the proposed work Cooja simulator is used for experimentation. Findings: The proposed SDPRM is compared with the existing INTI architecture and it shows good results for detection rate and packet delivery ratio parameters. The comparative analysis is performed for static and mobility scenario. Novelty: In the existing architecture, probe route protocol was not used to detect the sinkhole attack in IoT environment. The current research work uses FIB (Forwarding Information Base) based proberouting mechanism is used for securing the communication channel. The proposed architecture outperforms than the existing INTI architecture in terms of detection rate and packet delivery ratio.

Keywords: Internet of Things; Network security; Sinkhole attack; Proberoute; Beta distribution

References

Hepsiba CL, Priyadarsini DR, Dr S, Titus. A Comprehensive Study on Routing Attacks with Countermeasures in Internet of Things. 2020;63:7993–7999. Available from: http://solidstatetechnology.us/index.php/JSST/article/view/8339
SDBAS, Priyadarsini J. ETSET: Enhanced Tiny Symmetric Encryption Techniques to Secure Data Transmission among IoT Devices. Turkish Journal of Computer and Mathematics Education. 2021;12(10):1094–1099. Available from: https://doi.org/10.17762/turcomat.v12i10.4294
Mathew J, Priyadarsini R. A Review on DoS Attacks in IoT, Solid State Technology. Solid State Technology. 2020;63(4):8000–8009. Available from: http://solidstatetechnology.us/index.php/JSST/article/view/8340
Suresh SA, Priyadarsini RJ. A Comprehensive Study on Sybil Attacks and Its Defence Mechanisms in Internet of Things. Solid State Technology. 2020;63:7966–7974. Available from: http://solidstatetechnology.us/index.php/JSST/article/view/8337
Tahir S, Bakhsh ST, Alsemmeari RA. An intrusion detection system for the prevention of an active sinkhole routing attack in Internet of things. International Journal of Distributed Sensor Networks. 2019;15(11):155014771988990. Available from: https://doi.org/10.1177/1550147719889901
Pundir S, Wazid M, Singh DP, Das AK, Rodrigues JJPCJPC, Park Y. Designing Efficient Sinkhole Attack Detection Mechanism in Edge-Based IoT Deployment. Sensors. 1300;20(5):1300. Available from: https://doi.org/10.3390/s20051300
Bilal A, Hasany SMN, Pitafi AH. Effective modelling of sinkhole detection algorithm for edge‐based Internet of Things (IoT) sensing devices. IET Communications. 2022;16(8):845–855. Available from: https://doi.org/10.1049/cmu2.12385
Prathapchandran K, Janani T. A trust aware security mechanism to detect sinkhole attack in RPL-based IoT environment using random forest – RFTRUST. Computer Networks. 2021;198:108413. Available from: https://doi.org/10.1016/j.comnet.2021.108413
Sejaphala LC, Velempini M. The Design of a Defense Mechanism to Mitigate Sinkhole Attack in Software Defined Wireless Sensor Cognitive Radio Networks. Wireless Personal Communications. 2020;113(2):977–993. Available from: https://doi.org/10.1007/s11277-020-07263-9
An TGH, Cho H. Improving Sinkhole Attack Detection Rate through Knowledge-Based Specification Rule for a Sinkhole Attack Intrusion Detection Technique of IoT. International Journal of Computer Networks and Applications (IJCNA). 2022;9(2):169–178. Available from: https://doi.org/0.22247/ijcna/2022/212333
Umashankar ML. An efficient hybrid model for cluster head selection to optimize wireless sensor network using simulated annealing algorithm. Indian Journal of Science and Technology. 2021;14(3):270–288. Available from: https://d oi.org/10.17485/IJST/v14i3.2318
Tsai PH, Zhang JB, Tsai MH. An Efficient Probe-Based Routing for Content-Centric Networking. Sensors. 22(1):341. Available from: https://doi.org/10.3390/s22010341

Copyright

© 2022 Linda Hepsiba & Priyadarsini. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)