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@article{171856,
        author = {Ankit Raj and Mohit Singh Yadav and Ajay Kumar and Shashank Kumar Srivastava and Aryan Gupta},
        title = {AI DRIVEN NETWORK SECURITY SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1236-1241},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171856},
        abstract = {Network security remains one of the most pressing challenges in today's digital landscape. This paper delves into how AI can enhance network security through various applications such as monitoring malicious code, detecting smartphone intrusions, ensuring HTTP security, and supervising voice activity on public networks. Techniques like using Artificial Neural Networks (ANNs) to identify and mitigate DDoS attacks across TCP, UDP, and ICMP protocols are particularly effective.
We also discuss threats posed by malicious uses of AI and propose strategies to address them. For instance, when protecting HTTP services, it's crucial to consider the broader attack surface, not just the protocol itself. Additionally, we highlight promising directions for future research, such as combining cloud computing with deep learning to create more robust security solutions.},
        keywords = {Network Security, Artificial Intelligence, Machine Learning.},
        month = {January},
        }