## 2 Related Work
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Authors** & **Technique** & **Attack Type** & **Key Findings** \\ \hline [PERSON] et al. [31] & Intrusion detection with appropriate algorithm & Hybrid DoS attacks & Enhanced detection rate of attacking nodes, increased network lifetime, reduced attack’s impact on network traffic. \\ \hline [PERSON] et al. [32] & Hidden Markov Model (HMM) algorithm & Black hole attack & Showed efficient results for a secure network in terms of packet delivery ratio, end-to-end delay, and packet drop ratio. \\ \hline [PERSON] et al. [33] & Lightweight and secure technique & Sinkhole attack & Improved performance in packet delivery ratio, delay, energy consumption, and throughput. \\ \hline [PERSON] et al. [34] & Intrusion detection system (IDS) & Wormhole attack & Identified the attacker node and attack. \\ \hline [PERSON] et al. [35] & Algorithm for selective forwarding attacks & Selective forwarding attack & Reduced useless steps in density peak clustering, improved detection accuracy, false detection rate \textless{} 1\%. \\ \hline [PERSON] et al. [36] & Backdoor technique & Penetration attack & Helped locate IoT backdoors, detecting hacker activity; prevented unauthorized access. \\ \hline [PERSON] et al. [37] & Fuzzy- and feed-forward neural networks & Multiple network layer attacks & Average detection rate of 97.8\%; high computation time. \\ \hline [PERSON] et al. [38] & Privacy-preserving technique based on homomorphic encryption & Privacy intrusion & Successful prevention of privacy intrusions, computationally efficient method. \\ \hline [PERSON] et al. [39] & Data-driven framework & IoT threat assessment & Clear demarcation of IoT configurations and assessment of threats. Important for security concerns. \\ \hline [PERSON] et al. [40] & Secure key management and distribution technique & Network attacks & Improved security using the elliptic curve cryptography technique and the enhanced LEACH protocol. \\ \hline [PERSON] et al. [41] & Lightweight encryption and OBT-based authentication technique (LEOBAT) & Multiple network attacks & Provided efficient and fast authentication compared to DES and blowfish. \\ \hline [PERSON] et al. [42] & Intrusion detection model & Sinkhole attack & Exceptional results with a detection rate of 95\%. \\ \hline [PERSON] et al. [43] & Cluster-based algorithm & Wireless mesh & Reduced end-to-end delay and enhanced internet quality \\ \hline [PERSON] et al. [44] & Mutual authentication and key agreement scheme & Multiple attacks & Superior performance, secure communication, resistance against attacks. Outperformed existing schemes. \\ \hline [PERSON] et al. [45] & Two opacity-enhancing distributed algorithms & Confidentiality in CPSs & Established necessary and sufficient conditions to ensure that a secret state was opaque and estimated accuracy maintained. \\ \hline [PERSON] et al. [46] & Privacy-preserving distributed gradient-based algorithm & Privacy preservation & Homomorphic encryption for secure multiparty computation, identification of secure computable functions based on a control-aware definition, verified correctness and computational efficiency in power system case studies \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Comparison of different eminent-existing related works.