Web Application Firewall Based on Machine Learning and Artificial Intelligence

Web Application Firewall Based on Machine Learning and Artificial Intelligence

This project introduces an advanced web application firewall that combines machine learning, artificial intelligence, and advanced encryption algorithms to provide real-time protection against cyber-attacks. It offers automated self-penetration testing, mutation-based threat detection, and a unique cryptography technique for data security. The firewall’s multifunctional approach and cost-effectiveness contribute to a safer digital environment for individuals, businesses, and organizations.

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    Participant(s)

    Andria Kelekhsaevi
    Alexandre Mizandari

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    Country

    Georgia

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    Category

    Computing

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