article

HIoTPOT: Surveillance on IoT Devices against Recent Threats

Authors:

Usha Devi Gandhi,

Priyan Malarvizhi Kumar,

R. Varatharajan,

Gunasekaran Manogaran,

Revathi Sundarasekar,

Shreyas KaduAuthors Info & Claims

Wireless Personal Communications: An International Journal, Volume 103, Issue 2

Pages 1179 - 1194

https://doi.org/10.1007/s11277-018-5307-3

Published: 01 November 2018 Publication History

Abstract

Honeypot Internet of Things (IoT) (HIoTPOT) keep a secret eye on IoT devices and analyzes the various recent threats which are dangerous to IoT devices. In this paper, implementation of a research honeypot is presented which is used to learn the recent tactics and ethics used by black hat community to attack on IoT devices. As IoT is open and easy for accessing, all the intruders are highly attracted towards IoT. Recently Telnet based attacks are very famous on IoT devices to get easy access and attack on other devices. To reduce these kinds of threats, it is necessary to know in details about intruder, therefore the aim of this research work is to implement novel based secret eye server known as HIoTPOT which will make the IoT environment more safe and secure.

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Published In

cover image Wireless Personal Communications: An International Journal

Wireless Personal Communications: An International Journal Volume 103, Issue 2

November 2018

774 pages

ISSN:0929-6212

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Copyright © Copyright © 2018 Springer Science+Business Media, LLC, part of Springer Nature.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 November 2018

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Cited By

Selvaraj PVaratharajan R(2023)Whirlpool Algorithm with Hash Function Based Watermarking Algorithm for the Secured Transmission of Digital Medical ImagesMobile Networks and Applications10.1007/s11036-018-1057-428:4(1371-1384)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1007/s11036-018-1057-4
Gopi RSathiyamoorthi VSelvakumar SManikandan RChatterjee PJhanjhi NLuhach A(2022)Enhanced method of ANN based model for detection of DDoS attacks on multimedia internet of thingsMultimedia Tools and Applications10.1007/s11042-021-10640-681:19(26739-26757)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s11042-021-10640-6
Alroobaea RArul RRubaiee SAlharithi FTariq UFan X(2022)AI-assisted bio-inspired algorithm for secure IoT communication networksCluster Computing10.1007/s10586-021-03520-z25:3(1805-1816)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s10586-021-03520-z
Veluchamy SKathavarayan R(2022)Deep reinforcement learning for building honeypots against runtime DoS attackInternational Journal of Intelligent Systems10.1002/int.2270837:7(3981-4007)Online publication date: 26-May-2022
https://dl.acm.org/doi/10.1002/int.22708
Yao HWang YMontenegro-Marin CHsu CBalamurugan SMuthu BPeng SAbd Wahab M(2021)Internet of things-based technological acceptance learning management framework for the physical education systemTechnology and Health Care10.3233/THC-21300129:6(1201-1215)Online publication date: 1-Jan-2021
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Dang FLi ZLiu YZhai EChen QXu TChen YYang JSong JKim MLane NBalan R(2019)Understanding Fileless Attacks on Linux-based IoT Devices with HoneyCloudProceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services10.1145/3307334.3326083(482-493)Online publication date: 12-Jun-2019
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