Review on the Security Threats of Internet of Things

01/12/2021
by   Prajoy Podder, et al.
0

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.

READ FULL TEXT

page 1

page 3

02/09/2018

The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved

The future of Internet of Things (IoT) is already upon us. IoT applicati...
01/19/2018

IoT Security Techniques Based on Machine Learning

Internet of things (IoT) that integrate a variety of devices into networ...
12/02/2019

Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning

Machine learning algorithms have been shown to be suitable for securing ...
10/17/2020

Threats and Corrective Measures for IoT Security with Observance to Cybercrime

Internet of Things (IoT) is the utmost assuring framework to facilitate ...
09/08/2021

Malware Squid: A Novel IoT Malware Traffic Analysis Framework using Convolutional Neural Network and Binary Visualisation

Internet of Things devices have seen a rapid growth and popularity in re...
08/30/2021

Security For System-On-Chip (SoC) Using Neural Networks

With the growth of embedded systems, VLSI design phases complexity and c...
06/20/2021

Artificial Neural Network for Cybersecurity: A Comprehensive Review

Cybersecurity is a very emerging field that protects systems, networks, ...