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EN
In this paper a novel multi-factor authentication protocol for IoT applications, relying on enhanced Rabinassisted elliptic curve cryptography, biometric features and time stamping methods, is developed. Furthermore, a fuzzy verification algorithm has been developed to perform receiverlevel user verification, making computation efficient in terms of computational overhead as well as latency. An NS2 simulation-based performance assessment has revealed that the multifactor authentication and key management models we have proposed are capable of not only avoiding security breaches, such as smart card loss (SCLA) and impersonation attacks, but can also ensure the provision of maximum possible QoS levels by offering higher packet delivery and minimum latency rates.
EN
The aim of this paper is to present a method for ensuring the authenticity of the origin and integrity of the data in the registry of the EHR system. The authenticity of the origin and integrity of the content of the EHR must be guaranteed throughout the storage period of EHRs by using the correctly defined organizational and technical measures. This paper introduces a method that uses timestamps and Evidence Record Syntax (ERS) to create and maintain evidence records for the purpose of a future integrity verification. Healthcare professional, during verification of subjects of care EHR correctness, can rely on cryptographic algorithms, instead of relying on proper functioning of access control solutions.
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