Innovative Approaches to E-Commerce Security: Leveraging Homomorphic Encryption, Quantum Cryptography, Smart Contracts, and AI Fraud Prevention
Keywords:
E-Commerce Security, Homomorphic Encryption, Quantum Cryptography, Smart Contracts, AI Fraud Prevention, Blockchain, Cybersecurity.Abstract
This study examines new approaches for boosting e-commerce security through the incorporation
of state-of-the-art technology including smart contracts, quantum cryptography, homomorphic
encryption, and AI-driven fraud detection. Traditional security techniques are no longer adequate
to safeguard sensitive data, fight off sophisticated cyber threats, and guarantee the seamless running of e-commerce platforms as the volume of online transactions increases. By protecting
data privacy, identifying fraudulent activity in real-time, strengthening encryption, and
maximizing system scalability, the study assesses how each technology adds to increased security.
While quantum cryptography tackles the problems presented by quantum computing,
homomorphic encryption guarantees privacy while computations are performed on encrypted data.
AI-powered fraud detection employs machine learning to continuously adjust to new risks, while
smart contracts automate safe transactions and lessen the need for middlemen. With a performance
metric accuracy of 98.5%, the data demonstrate that the combined approach greatly enhances e
commerce security. The work shows how a multi-layered defense mechanism can overcome the
shortcomings of individual strategies by integrating various cutting-edge technologies. A strong
and scalable answer to today's cybersecurity issues in the digital economy is provided by this
comprehensive strategy.
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