Class Topper Optimization Algorithm based Optimal Cryptographic Technique

In this paper, a novel method of optimizing cryptographic techniques using metaheuristic algorithm is proposed that improve privacy, security and integrity of data. Data in reality is so sensitive that need to be explicit when processing and managing it securely. Generally, sophisticated encryption techniques such as encrypted communication, hashing and secure access control are used to protect data. In hashing and secure access control, data is only verified for the integrity during encryption. In homomorphic encryption, cipher text is used for computational purpose which provide better confidentiality output without having to decrypt. To overcome such issues in available methods, an intelligent cryptographic technique optimized with a metaheuristic algorithm as proposed. In this regard, the class topper optimizer as integrated with cryptography to build intelligent privacy preserving cryptographic system. For analysis purpose, a cryptography problem is formulated with student data such as grades, behavior patterns, to assess the best mind of evidence-based interventions for raising academic performance. The aim is to build intelligent, privacy preserving educational system allowing entities to deliver data-driven decisions without invading student trust. The proposed method can be validated for any other data-driven system.