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Abstract
BLOCKCHAIN-POWERED PROTECTION AGAINST SOCIAL ENGINEERING IN E-COMMERCE
Sharmin Akhter Jui*, Md. Iftekhar Uddin Khan and Arnab Shikder
ABSTRACT
Global trade has been transformed by the quick growth of e-commerce, which makes cross-border digital transactions easy. But this expansion has also made online platforms easy targets for hackers, especially when it comes to social engineering assaults that take advantage of people's trust instead of flaws in systems. When it comes to reducing these risks, conventional cyber security techniques like encryption and two-factor authentication frequently fall short. This study investigates how blockchain technology might improve e-commerce security through the use of AI-driven fraud detection, smart contract-based authentication, and decentralized identity management. Using actual e-commerce fraud datasets from Bangladesh, a hybrid blockchain platform that combines Hyperledger Fabric for secure transactionrecording and Ethereum smart contracts for identity verification was put into practice and evaluated. In order to spot suspicious activity instantly, AI-based fraud detection tools were also implemented. The findings show that role-based identity verification decreased unwanted access by 85% and blockchain-based authentication stopped 92% of phishing attempts. 94% of fraudulent transactions were correctly identified by AI-enhanced fraud detection. There are still issues, such as transaction fees, blockchain adoption obstacles, and non-technical users' usability concerns, despite these encouraging results. A hybrid blockchain model that strikes a balance between cost-effectiveness and security, user education programs, and cooperation between the public and commercial sectors are all recommended by this study to promote broad adoption. According to the results, combining blockchain technology with AI-powered security measures offers a strong foundation to counteract social engineering attacks in e-commerce and guarantee safe and reliable online transactions.
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