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@article{169653,
        author = {V Yashwanth Reddy and N . Harsha Vardhan Reddy and T.J Adithya and K.Ramesh},
        title = {INTRUSION DETECTION AND PREVENTION SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2695-2699},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169653},
        abstract = {This paper presents an Intrusion Detection and Prevention System (IDPS) designed to enhance network security through real-time monitoring and proactive threat mitigation. Leveraging advanced detection algorithms and machine learning integration, the system effectively identifies and blocks unauthorized access attempts, malicious behavior, and potential network breaches. The IDPS is built to adapt to evolving cyber threats, utilizing both anomaly-based and signature-based detection methods to maintain a robust defense. Experimental results demonstrate high detection accuracy and low false positive rates, along with efficient resource utilization. This scalable, cost-effective approach underscores the critical role of an adaptive IDPS in safeguarding modern network infrastructure, with future plans for incorporating predictive analytics and automated threat response to further bolster security.},
        keywords = {Network Security, Threat Mitigation, Cyber Threat Detection, Anomaly Detection, Real-Time Monitoring, Signature-Based Detection.},
        month = {November},
        }