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Review on the Security Threats of Internet of Things

by Prajoy Podder, M. Rubaiyat Hossain Mondal, Subrato Bharati, Pinto Kumar Paul
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 41
Year of Publication: 2020
Authors: Prajoy Podder, M. Rubaiyat Hossain Mondal, Subrato Bharati, Pinto Kumar Paul

Prajoy Podder, M. Rubaiyat Hossain Mondal, Subrato Bharati, Pinto Kumar Paul . Review on the Security Threats of Internet of Things. International Journal of Computer Applications. 176, 41 ( Jul 2020), 37-45. DOI=10.5120/ijca2020920548

@article{ 10.5120/ijca2020920548,
author = { Prajoy Podder, M. Rubaiyat Hossain Mondal, Subrato Bharati, Pinto Kumar Paul },
title = { Review on the Security Threats of Internet of Things },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2020 },
volume = { 176 },
number = { 41 },
month = { Jul },
year = { 2020 },
issn = { 0975-8887 },
pages = { 37-45 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2020920548 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:41:03.170527+05:30
%A Prajoy Podder
%A M. Rubaiyat Hossain Mondal
%A Subrato Bharati
%A Pinto Kumar Paul
%T Review on the Security Threats of Internet of Things
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 41
%P 37-45
%D 2020
%I Foundation of Computer Science (FCS), NY, USA

Internet of Things (IoT) is being considered as the growth engine for industrial revolution 4.0. The combination of IoT, cloud computing and healthcare can contribute in ensuring well-being of people. One important challenge of IoT network is maintaining privacy and to overcome security threats. This paper provides a systematic review of the security aspects of IoT. Firstly, the application of IoT in industrial and medical service scenarios are described, and the security threats are discussed for the different layers of IoT healthcare architecture. Secondly, different types of existing malware including spyware, viruses, worms, keyloggers, and trojan horses are described in the context of IoT. Thirdly, some of the recent malware attacks such as Mirai, echobot and reaper are discussed. Next, a comparative discussion is presented on the effectiveness of different machine learning algorithms in mitigating the security threats. It is found that the k-nearest neighbor (kNN) machine learning algorithm exhibits excellent accuracy in detecting malware. This paper also reviews different tools for ransomware detection, classification and analysis. Finally, a discussion is presented on the existing security issues, open challenges and possible future scopes in ensuring IoT security.

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Index Terms

Computer Science
Information Sciences


Accuracy IoT IoMT Intrusion Detection Malware Machine Learning Ransomware Threats.