# Defense and Security Mechanisms in the Internet of Things: A Review
## 2 Literature Survey
\begin{table}
\begin{tabular}{c l l} \hline \hline
**Reference** & **Contribution/Advantages/Limitations** & **Year** \\ \hline
[4] & \(\bullet\) & Review of network security risks in the IoT, their impacts, and risk assessment methods & 2024 \\  & \(\bullet\) & Comprehensive review of network security risks in IoT, including risk assessment methods & \\  & \(\bullet\) & Focused solely on network security; lacks coverage of cryptographic protocols and anomaly detection & \\ \hline
[27] & \(\bullet\) & Survey of authentication and key agreement protocols for IPv6 over Low-Power Wireless Personal Area & 2024 \\  & \(\bullet\) & Focused on authentication and key agreement protocols for IoT in 6 LoWPAN environments & \\  & \(\bullet\) & Limited toLoWPAN; does not generalize to broader IoT applications & \\ \hline
[28] & \(\bullet\) & Review of blockchain-assisted authentication and session key generation protocols for the IoT & 2024 \\  & \(\bullet\) & Review of blockchain-assisted authentication and session key generation protocols environments & \\  & \(\bullet\) & Limited analysis of performance metrics and scalability issues in real-world applications & \\ \hline
[29] & \(\bullet\) & Review examines the security properties needed for IoT devices, applications, and services to mitigate vulnerabilities and successful attacks & 2024 \\  & \(\bullet\) & Holistic review of security properties required for IoT devices and application & \\  & \(\bullet\) & Lacks detailed discussion of advanced defense mechanisms like IDSs/IPSs & \\ \hline
[30] & \(\bullet\) & review of security challenges and potential dangers in IoT applications, focusing on new technologies like machine learning, fog computing, edge computing, and blockchain to enhance trust in IoT applications & 2024 \\  & \(\bullet\) & discussion of machine learning and blockchain to enhance IoT application security & \\  & \(\bullet\) & focuses on emerging technologies without evaluating traditional solutions’ effectiveness & \\ \hline
[31] & \(\bullet\) & Review of major IoT applications, privacy, security, and interoperability issues & 2024 \\  & \(\bullet\) & Addresses major IoT applications, privacy, security, and interoperability issues & \\  & \(\bullet\) & Does not provide a detailed framework for integrating these aspects into practical IoT deployments & \\ \hline
[32] & \(\bullet\) & Review of security threats faced by IoT devices and networks, including data breaches, unauthorised & 2024 \\  & \(\bullet\) & Access, and denial-of-service attacks & \\  & \(\bullet\) & Covers a wide range of IoT security threats, including data breaches and DoS attacks & \\  & \(\bullet\) & Does not provide insights into defense mechanisms for anomaly detection & \\ \hline
[33] & \(\bullet\) & Review of cybersecurity strategies, patterns, mechanisms, performance evaluation, validation parameters, and challenges in 5G and beyond-enabled IoT studies using a taxonomy & 2024 \\  & \(\bullet\) & Survey of cybersecurity strategies and performance evaluation in 5G-enabled IoT systems & \\  & \(\bullet\) & Focused primarily on 5G IoT, lacks detailed evaluation of legacy IoT systems & \\ \hline
[34] & \(\bullet\) & Survey focusing on IoT network vulnerabilities and defense mechanisms, including the impact of DDoS, data breaches, and IoT-specific attack scenarios & \\  & \(\bullet\) & Comprehensive analysis of IoT network vulnerabilities and defense mechanisms & \\  & \(\bullet\) & Limited focus on emerging technologies like blockchain- and AI-based detection & \\ \hline
[35] & \(\bullet\) & Comprehensive analysis of machine learning-based intrusion detection systems for IoT communication & 2023 \\  & \(\bullet\) & security, emphasising classification techniques and evaluation methods & \\  & \(\bullet\) & Comprehensive analysis of ML-based intrusion detection for IoT communication security & \\  & \(\bullet\) & Limited coverage of cryptographic protocols and key management schemes & \\ \hline
[36] & \(\bullet\) & Detailed review of DDoS attack techniques and mitigation strategies in IoT networks, including detection mechanisms and challenges in dynamic IoT environments & 2020 \\  & \(\bullet\) & Detailed review of DDoS attack techniques and mitigation strategies in IoT networks & \\  & \(\bullet\) & Primarily focuses on DDoS attacks; lacks broader perspective on other attack types & \\ \hline
[37] & \(\bullet\) & Critical review of data security challenges in IoT environments, emphasising data integrity, confidentiality, and defense strategies to mitigate these challenges & 2024 \\  & \(\bullet\) & Addresses data security challenges in IoT environments with mitigation strategies & \\  & \(\bullet\) & Limited focus on protocols for securing communication or anomaly detection & \\ \hline \hline \end{tabular}
\end{table}