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@article{192834,
        author = {Ayush Singh and Abhinav Pandey and Ayush Pathak and Richa Verma},
        title = {iShield – Smart Web Traffic Filtering System: A Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2310-2319},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192834},
        abstract = {With the increasing adoption of encrypted DNS protocols such as DNS-over-HTTPS (DoH) and DNS-over-TLS (DoT), network administrators face new challenges in filtering and monitoring domain name resolutions. The iShield project proposes a smart DNS filtering system that intercepts DNS queries, integrates threat intelligence APIs, and utilizes machine learning for domain classification. The system aims to identify and block access to malicious and policy-violating websites in real-time. This review paper presents the system’s methodology, architecture, experimental evaluation, and potential future improvements.},
        keywords = {DNS Filtering, Encrypted DNS, Machine Learning, Threat Intelligence, DNS Hijacking, DoH, DoT.},
        month = {February},
        }