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Implementing Identity and Access Management for Improving Cyber Security

Ranga Premsai,

Maryland, USA,

Premsairanga809@gmail.com.

Abstract—

Smart Banking Cyber-Physical Systems (SBCPS) face significant risks from various forms of financial fraud, including suspicious transactions, forgery, and identity theft. Traditional fraud detection methods often struggle to provide timely and reliable solutions. To address this, this study proposes an advanced fraud detection system based on a blockchain-enabled smart contract framework, integrating dual cryptographic algorithms: the Secure Asymmetric Hash Encryption Algorithm (SAHEA) and the Triple Integrity Twofish Algorithm (TITFA).

The SAHEA ensures secure transaction data encryption using asymmetric encryption, while the TITFA employs triple layers of Twofish encryption to enhance data integrity and confidentiality. Together, these algorithms provide robust authentication and tamper-proof transaction records. By leveraging blockchain’s transparency and immutability, the proposed system creates a secure, auditable environment for financial transactions.

This approach offers a more efficient, reliable, and scalable solution for detecting and preventing fraud in SBCPS, improving security while reducing computational overhead. The dual cryptographic system, integrated with blockchain, delivers a cutting-edge, trustworthy method for fraud detection in smart banking.

Index Terms—Smart Banking Cyber-Physical Systems, Fraud Detection, Blockchain, Smart Contracts, Secure Asymmetric Hash Encryption Algorithm, Triple Integrity Twofish Algorithm, Cryptography