A Hybrid Deep Learning Framework for Intelligent Intrusion Detection and Prevention in Modern Network Environments
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报告开始:2026年11月21日 11:00(Asia/Kolkata)

报告时间:15min

所在会场:[S4] Artificial Intelligence and Intelligent Computing [S4-7] Artificial Intelligence and Intelligent Computing

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摘要
Abstract-The proliferation of cyber threats in global networks, cloud infrastructure, and IoT environments has resulted in an overwhelming demand for efficient and scalable low-latency Intrusion Detection and Prevention Systems (IDPS) to protect enterprise networks. The research motivation is to develop a Hybrid Deep Learning Intrusion Detection and Prevention System (HDL-IDPS) framework which will leverage Bi-directional Long Short-Term Memory (Bi-LSTM) networks and transformer-based multi-head self-attention algorithms for modeling time-based sequential dependencies and long-term dependencies among the characteristics encoded within network traffic flows. In addition to this, the system will include a real-time prevention mechanism which will generate policy rules, a thresholding engine, and a feature extractor mechanism for automated generation of features. Trained and tested with evaluation metrics on the comparative benchmark datasets: NSL-KDD, CICIDS-2017, UNSW-NB15, and CIC-IDS2018, the HDL-IDPS proposed yields an overall detection accuracy of 98.10%, F1-score of 97.73% and False Positive Rate (FPR) as low as 0.9%, which are significantly more enhanced exploit from any existing state-of-the-art baselines up to date statistically significantly better in scientifically significant margins
关键词
intution Detection Prevention system, Bidirectional LSTM,,Transformer; Attention Mechanism; Cyber Threat Intelligence
报告人
Neeththi Aadithiya b
Professor M.kumarasamy college of engineering

稿件作者
Hitendra Garg GLA University; Mathura;uttar pradesh
Ganpat Joshi MADHAV UNIVERSITY
Indumathi G Cambridge Institute of Technology, KR Puram, Bengaluru-560036.
Murali M Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS),Chennai-602105, Tamil Nadu
Anandakumar Haldorai Sri Eshwar College of Engineering
Dr. SivaramKrishnan M India;Coimbatore;School of Engineering and Emerging Technologies;Rathinam Global Deemed to be University
Neeththi Aadithiya b M.kumarasamy college of engineering
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重要日期
  • 会议日期

    11月20日

    2026

    至

    11月22日

    2026

  • 10月31日 2026

    初稿截稿日期

  • 11月07日 2026

    提前注册日期

  • 11月22日 2026

    注册截止日期

主办单位
United Societies of Science
承办单位
Pondicherry University
协办单位
IEEE Section
IEEE Madras Section
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