Result: A Comprehensive Review of Cyber-Attacks Targeting IoT Systems and Their Security Measures.

Title:
A Comprehensive Review of Cyber-Attacks Targeting IoT Systems and Their Security Measures.
Authors:
Mutleg, Maryam Lazim, Mahmood, Ali Majeed, Al-Nayar, Muna Mohammed Jawad
Source:
International Journal of Safety & Security Engineering; Aug2024, Vol. 14 Issue 4, p1073-1086, 14p
Subject Terms:
COMPUTER network traffic, TECHNOLOGICAL innovations, DEEP learning, INTERNET of things, COMPUTATIONAL complexity, CYBERTERRORISM, DENIAL of service attacks
Database:
Complementary Index

Further Information

The Internet of Things (IoT) represents the backbone of current and future technologies. The main objective of IoT is to make human life easier by automating most daily jobs. The endless web of connections entices opponents to utilize the IoT's weaknesses. For that reason, this technological innovation faces a few serious safety and confidentiality problems. These problems are the actual motivation of this research. This paper reviews the latest research and possible types of attacks that can affect IoT systems including the exploration of IoT infrastructure. Various cybersecurity threats, including network, application, and physical attacks, that aim to compromise the IoT are discussed. Moreover, regarding attack types, we performed a statistical analysis using Excel for the percentage of most attacks and found that DDoS is the most common with 21%. In addition, by comparing Deep Learning (DL) accuracy measures with traditional methods, DL methods achieved an accuracy of more than 98%, so they are better and more effective in detecting and classifying the attack types due to their high accuracy. However, rarely do researchers focus on computational complexity. Finally, the paper highlights some statistics using Python language on the negative impact of attacks on network traffic. [ABSTRACT FROM AUTHOR]

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