Optimization of Security Algorithms for Digital Authentication and Electronic Signatures in International Electronic Commerce Regulations
Keywords:
Digital Authentication, Optimization, Deep Neural Network, Cryptographic Process, Elliptical Curve Cryptography, Homomorphic ProcessAbstract
Digital authentication and electronic signatures play a crucial role in international electronic commerce laws, facilitating secure and legally binding transactions across borders. These technologies enable parties to authenticate the identity of individuals or entities involved in electronic transactions and provide assurance regarding the integrity and non-repudiation of electronic documents. International laws and regulations, such as the United Nations Commission on International Trade Law (UNCITRAL) Model Law on Electronic Commerce, provide a framework for the recognition and enforcement of electronic signatures and authentication methods across jurisdictions. This paper focuses on optimizing security algorithms for digital authentication and electronic signatures in the context of international electronic commerce laws, utilizing the Homomorphic Elliptical Cryptograph Deep Neural network (HMEC-DNN). In an increasingly digitalized global economy, ensuring the security and integrity of electronic transactions is paramount. The HMEC-DNN framework combines the robust cryptographic properties of homomorphic elliptical cryptograph algorithms with the powerful pattern recognition capabilities of deep neural networks. Through rigorous optimization and training, the HMEC-DNN model enhances the efficiency and reliability of digital authentication and electronic signature processes, mitigating risks associated with identity fraud, data breaches, and transaction tampering. The results demonstrate significant improvements in security and efficiency compared to conventional methods. For instance, the HMEC-DNN model achieved an authentication accuracy of over 99.5% in verifying electronic signatures, ensuring the integrity and authenticity of electronic documents. Additionally, the framework reduced computational overhead by 30%, enabling faster transaction processing times and enhancing user experience.
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