# Identifying Adversary Impact Using End User Verifiable Key with Permutation Framework
## 2 Related Works
[27] proposed a communication protocol for secure and anonymous mHealth transactions using a combination of onion routing, blockchain smart contracts, and the user datagram protocol to protect the security and privacy of clients' identities. The blockchain approach is used in the proposed protocol to ensure the structure and architecture of the application. The proposed protocol aims to address challenges of anonymity, untraceability, unlinkability, and unforgeability in healthcare transactions and can detect malicious clients who send false data and helps to eliminate those details from the database. The proposed protocol ensures the security and privacy of the users while transacting data. Experimental outcomes and privacy proofs show that the proposed protocol has a reasonable computational cost and provides sufficient protection for IoT-based mHealth transactions. [PERSON] et al. [28] discussed the challenges of IoT, such as security and energy consumption. They proposed a solution to mitigate these challenges by combining blockchain and software-defined networks in IoT networks. The proposed architecture uses a cluster structure with a new routing protocol. It utilises both public and private blockchains for peer-to-peer communication between IoT devices and software-defined network controllers, which eliminates proof-of-work and uses an efficient authentication method, making it suitable for resource-constrained IoT devices. Software-defined network controller plays a vital role in this protocol, which helps ensure the users' security while processing data. The experimental results show that this proposed architecture performs better throughput, delay, and energy consumption than other routing protocols. Compared with other security methods, the proposed protocol increases users' scalability, security, and privacy and reduces the computation cost with the help of the blockchain technique. [PERSON] et al. [29] proposed a new lightweight chaotic map-based authenticated key agreement protocol (CMAKAP) for the industrial environment that aims to increase security using a fuzzy extractor technique for biometric verification. The authentication process is done based on the user's biometrics, personal information, and smart cards, which help to prevent the users from being unauthorised. The real-or-random method is used here to analyse the security issues in the applications. The scheme also supports adding new devices, changing passwords/biometrics, and revoking smart cards. Formal security analysis and simulation studies were conducted, and it was found that the proposed scheme provides superior security compared to other existing methods. [PERSON] et al. [30] introduced a mutual privacy-preserving authentication protocol (MPPAP) by using an elliptic curve cryptography approach to improve security and protect the privacy of IoT devices while also being efficient in resource consumption. It helps to provide better communication services to the users. A secret session key is shared with the users for the authentication process, ensuring the users' security and privacy. The proposed model extends previous works and includes a distributed network architecture and secure communications. The protocol has been formally proven correct, is resilient to attacks, and has low energy consumption. Then, the overall summary of the existing works is summarised in Table 1.