Events2024 International Conference on Science and Engineering of Electronics (ICSEE'2024)
Published
This submission belongs to the session S9. Cybersecurity in Systems of the event 2024 International Conference on Science and Engineering of Electronics (ICSEE'2024)
Published date
23 Nov, 2024
Academic Editor
author-avatarYing Tan
Citation
Adeyemi Michael Oduwale, OGHENETEGA GREAT EROVWOSERE, INTERNET OF THINGS (IoT) SECURITY RISK MANAGEMENT SYSTEM, in Proceedings of 2024 International Conference on Science and Engineering of Electronics (ICSEE'2024), Wuhan, 22 November–26 November 2024, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

INTERNET OF THINGS (IoT) SECURITY RISK MANAGEMENT SYSTEM

OGHENETEGA GREAT EROVWOSERE 2
1. Olusegun Agagu University of Science & Technology, Nigeria, Nigeria
2. OLUSEGUN AGAGU UNIVERSITY OF SCIENCE AND TECHNOLOGY, OKITIPUPA, ONDO STATE., Nigeria
Abstract

The Internet of Things (IoT) has revolutionized technology by enabling seamless connectivity and automation across various domains. However, this rise introduces unprecedented security risks, from data breaches to physical harm. This project aims to develop a comprehensive IoT Security Risk Management System (IoT-SRMS) to identify, assess, and mitigate these security risks. Utilizing advanced risk assessment methodologies and real-time threat detection, the proposed IoT-SRMS is expected to significantly enhance IoT security management.

The Internet of Things (IoT) has ushered in a new era of connectivity, transforming how we interact with the digital world and revolutionizing industries ranging from healthcare and manufacturing to transportation and smart cities. By interconnecting billions of devices, sensors, and systems, IoT has enabled unprecedented levels of automation, efficiency, and convenience. The naturally interconnected nature of IoT ecosystems, coupled with the diverse range of devices and communication protocols, creates complex attack surfaces that adversaries can exploit. Security vulnerabilities in IoT devices, such as weak authentication, insecure communication channels, and lack of update mechanisms, pose serious threats to data privacy, system integrity, and user safety.

As IoT adoption continues to grow across industries and sectors, the need for effective risk management strategies to mitigate these security risks becomes paramount. A robust IoT Security Risk Management System (IoT-SRMS) is essential for identifying, assessing, and mitigating security threats in IoT ecosystems, ensuring the integrity, confidentiality, and availability of connected devices and data.

Keywords
Internet of Things
Security
Privacy
Risk Management
Threat Detection
Blockchain
IoT-SRMS
Artificial Intelligence
Energy storage properties of novel high-entropy dielectric materials
Development of a Novel Method for Stress Detection and Classification Using EEG and Neural Networks