Development of Machine Learning-Based Security Model for IoT Network

• Author(s): Malik Jawarneh
• Paper ID: 1704090
• Page: 181-194
• Published Date: 27-02-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 8 February-2023

Abstract

IoT allows the worldwide concept of intelligent cities. Smart homes, intelligent agriculture, intelligent environment, intelligent health, smart governance etc are all types of smart cities. In addition, IoT is also used in industries such as petroleum mining, gas mining, and production units. IOT boosts productivity, optimizes costs, optimizes human resources, forecasts maintenance and offers human life a lot of comfort. With more and more heterogeneous devices and data processing, security concerns are increasing. The main reasons for preventing IoT from flourishing are security and privacy issues. We will develop a machine learning based model to detect and predict vulnerabilities. This will be implemented in Java.We will also propose a block chain based security model, which will be a comprehensive mitigation plan for various vulnerabilities. Existing mitigation plans discuss about a particular vulnerability or attack. But our proposed model will cover maximum possible vulnerabilities.

Keywords

Internet of Things (IoT), Vulnerability, Threat, Attack, Mitigation Plan

Citations

IRE Journals:
Malik Jawarneh "Development of Machine Learning-Based Security Model for IoT Network" Iconic Research And Engineering Journals Volume 6 Issue 8 2023 Page 181-194

IEEE:
Malik Jawarneh "Development of Machine Learning-Based Security Model for IoT Network" Iconic Research And Engineering Journals, 6(8)