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@article{173993,
        author = {Dr. G. G. Taware and Prof. Shah Saloni Niranjan and Bhandwalkar Shreyash Sunil and Ghadge Vaishnavi Balasaheb and Papal Komal Maruti},
        title = {Survey Paper on Internal Intrusion Detection and Protection by Self- Monitoring via Forensic Techniques and help of  Data Mining},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2168-2170},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173993},
        abstract = {Today, the global internet user base numbers in the billions. Intrusion detection technology could be new. a generation of security technologies that monitors the system to prevent harmful activities. A neighbourhood procedure grid is used by the IDPS to monitor the actions of malevolent users over time. The Intrusion Detection and Protection System at call level, which creates user profiles to track usage actions, is the security system that the system recommends during this project due to the rhetorical alternatives. Using forensic methods and intrusion detection systems, the suggested work is assessed. An overview of the literature on intrusion detection systems (IDS) and internal intrusion detection systems (IIDS). They function in real time using various algorithms for rhetoric and data processing. Methods of data processing are expected for cyber analytics intrusion detection. This research led to the construction of the Internal Intrusion Detection System (IIDS), which uses preset algorithms or techniques to discern between unauthorized user activity and network attacks.},
        keywords = {Intrusion System, Networking, Internal attacks, malicious activity, System calls.},
        month = {March},
        }