A Comprehensive Analysis of Cyber-Attacks in Internet of Things

Due to the increasing sophistication of cyber-attacks, it is more challenging to identify breaches accurately in Internet of Things (IoT). Security services like data integrity, confidentiality, and availability may become more reliable with preventive actions. Numerous substitute methods for detecting intrusions have been documented in scholarly works to tackle computer security concerns. The two main types of these technologies are anomaly-based intrusion detection systems (AIDS) and signature-based intrusion detection systems (SIDS). This survey research includes a taxonomy of current IDS, a summary of the datasets commonly used for evaluation, and a detailed examination of significant recent works. To improve computer system security, it also explains how attackers utilize evasion strategies to escape detection and looks at upcoming research challenges to oppose these techniques.

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Publication Details

Published
2025-05-21
DOI
https://doi.org/10.1109/icaiss61471.2025.11041893
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive Analysis of Cyber-Attacks in Internet of Things

S Nageswari, B. Arun Kumar
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Network Security and Intrusion Detection
article

A Comprehensive Analysis of Cyber-Attacks in Internet of Things

S Nageswari, B. Arun Kumar
article en

Abstract

Due to the increasing sophistication of cyber-attacks, it is more challenging to identify breaches accurately in Internet of Things (IoT). Security services like data integrity, confidentiality, and availability may become more reliable with preventive actions. Numerous substitute methods for detecting intrusions have been documented in scholarly works to tackle computer security concerns. The two main types of these technologies are anomaly-based intrusion detection systems (AIDS) and signature-based intrusion detection systems (SIDS). This survey research includes a taxonomy of current IDS, a summary of the datasets commonly used for evaluation, and a detailed examination of significant recent works. To improve computer system security, it also explains how attackers utilize evasion strategies to escape detection and looks at upcoming research challenges to oppose these techniques.

Karpagam Academy of Higher Education (IN)
Openalex Percentile: Top 84%
Network Security and Intrusion Detection
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