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@article{201292,
        author = {Anuprita Joshi and Sandhya Kaprawan},
        title = {Real-Time Threat Intelligence Integrated Ethical Hacking for DoS Threats Detection: A Systematic Literature Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {3664-3671},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201292},
        abstract = {The complexity in the new variants of DoS attacks is rising immensely, making it more challenging to detect emerging DoS attacks and mitigate them in real-time. This requires transitioning from reactive security approaches to proactive intelligence-driven defense strategies combined with offensive validation to bridge the gap in existing methods. This research dedicates its focus to an intensive literature review on Real-Time Threat Intelligence Integrated Ethical Hacking especially for DoS (Denial of Service) Threats by also mapping it to MITRE ATT&CK matrix and utilizing BAS (Breach and Attack Simulation). A Systematic Literature Review methodology was adopted in analyzing 29 core studies by implementing qualitative as well as quantitative synthesis. This literature review states its results that despite various advancements are made in AI driven DoS detection, there are high failure rates against unknown TYPE-A attacks, false-positives in TYPE-B attacks (new variants of known threats) and a data grounding problem due to the use of outdated and static databases. This paper concludes that pivoting an automated bridge between Cyber Threat Intelligence and Real-time Offensive validation is essential to close the research gap and build a new, resilient, and automated defense framework.},
        keywords = {Real time threat intelligence, Cyber threat intelligence, DoS, Denial of Service, Ethical hacking, DoS threat detection.},
        month = {May},
        }