Blockchain assisted AHMFA authentication in employee performance assessment system

• Published in: Multimedia tools and applications 2024, Vol.83 (2), p.5131-5164
• Main Authors: Vignesh, R., Mohana Prasad, K.
• Format: Article
• Language: English
• Subjects: Algorithms; Authentication; Blockchain; Computer Communication Networks; Computer Science; Cost analysis; Cryptography; Curves; Data loss; Data retrieval; Data Structures and Information Theory; Encryption; Energy consumption; Energy costs; Multimedia Information Systems; Performance assessment; Research facilities; Security; Special Purpose and Application-Based Systems; Theft; Water waves
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-023-15846-4

The concept of blockchain has attained more attention recently to promote secured encryption and decryption, especially in industrial explorations and research institutions. The secured authentication process is highly required in intelligent governance focusing on effective decision-making, common entity participation and openness. By this, resource usage, energy consumption and cost-efficiency can be greatly reduced. A Smart governance system is highly needed to observe and assess government workers’ performance. As most systems are centralized, trust is lagging and prone to single-point failure issues. Also, employers or hackers tend to obtain data to favour individual workers. In most existing research works, the security is not maintained properly because of ineffective data handling and high latency. A decentralized system that promotes accountability, trust, transparency, tamper-resistance, security and reliability is required to overcome the existing issues. Hence, a novel Blockchain Assisted Decentralized Employee Performance Assessment (BDEPA) System is proposed in this research. Initially, the employee information like username or password is registered. During the encryption process, the keys are generated using Elliptic curve cryptography (ECC), whereas the optimal keys are chosen using an improved water wave’s optimization (IWWO) algorithm. By this, higher security can be promoted among the users for secured encryption, whereas the data can be highly protected from third parties. The data are stored in a Quantum blockchain (QBC) to minimize energy costs and improve security. When accessing the data, employee authenticity is verified using the Adaptive hash multi-factor authentication (AHMFA) approach to avoid data loss, theft, and malicious attacks. In the data retrieval or decryption phase, Enhanced Diffie-Hellman (EDH) algorithm is used to secure data access. Performances like energy costs, delay, processing time, successful authentication, etc.; are analyzed through the implementation of the proposed work in PYTHON.