A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks

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Year : October 30, 2023 | Volume : 01 | Issue : 02 | Page : 16-26

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    Muhammad Nadeem, Syeda Wajiha Zahra, Muhammad Noman Abbasi, Ali Arshad, Saman Riaz, Waqas Ahmed

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  1. Student, Lecturer, Lecturer, Assistant Professor, Assistant Professor, Lecturer, Department of Computer Science and Technology, University of Science and Technology Beijing, Department of Computer Science, Alhamd Islamic University, Department of Computer Science, Alhamd Islamic University, Department of Computer Science, National University of Technology, Department of Computer Science, National University of Technology, Department of Computer Science, Alhamd Islamic University, Beijing, Islamabad, Islamabad, Islamabad, Islamabad, Islamabad, China, Pakistan, Pakistan, Pakistan, Pakistan, Pakistan

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Abstract

nThe Internet of Things (IoT) refers to the interconnection of a large number of distinct physical objects, which in turn makes possible a variety of services and applications. Because the Internet of Things (IoT) sector is developing at such a rapid rate, ensuring its safety ought to be a high concern. At this time, ransomware attacks constitute the biggest danger to the Internet of Things (IoT) posed by cyberattacks. Ransomware is software that blocks access to or usage of a victim’s computer and then demands money from the user in order to restore the machine to its previous state. In spite of the frequency of malware attacks, ransomware is considered to be the most devastating. This is due to the fact that it has caused companies to be interrupted, which has led to considerable cash loss while also creating a severe financial pressure on the organisation. Criminals may demand and collect extortion from victims while disguising their identities and whereabouts with the use of bitcoin, which is the most well-known cryptocurrency. A framework for the detection, prevention, and prediction of ransomware attacks has been established, and it is being used to conduct an analysis of various methodologies and tactics for detecting, preventing, and mitigating ransomware assaults.

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Keywords: IoT, ransomware, prevention, detection, prediction

n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Information Security Engineering(ijise)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in International Journal of Information Security Engineering(ijise)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Muhammad Nadeem, Syeda Wajiha Zahra, Muhammad Noman Abbasi, Ali Arshad, Saman Riaz, Waqas Ahmed A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks ijise October 30, 2023; 01:16-26

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How to cite this URL: Muhammad Nadeem, Syeda Wajiha Zahra, Muhammad Noman Abbasi, Ali Arshad, Saman Riaz, Waqas Ahmed A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks ijise October 30, 2023 {cited October 30, 2023};01:16-26. Available from: https://journals.stmjournals.com/ijise/article=October 30, 2023/view=0/

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Regular Issue Subscription Review Article

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Volume 01
Issue 02
Received September 18, 2023
Accepted October 5, 2023
Published October 30, 2023

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