Opening book details…
Can I read An Intrusion Detection System for Securing IoT Based Sensor Networks from Routing Attacks on EtoBox?
An Intrusion Detection System for Securing IoT Based Sensor Networks from Routing Attacks by Shalini Subramani; M. Selvi; S. V. N. Santhosh Kumar; K. Thangaramya; M. Anand; A. Kannan is a book available to read on EtoBox.
What is An Intrusion Detection System for Securing IoT Based Sensor Networks from Routing Attacks about?
This book constitutes the refereed proceedings of the 7th International Conference on Computer, Communication, and Signal Processing, ICCCSP 2023, held in Chennai, India, during January 4–6, 2023, in hybrid mode. The 17 full and 9 short papers presented in this volume were carefully reviewed and selected from 123 submissions. The papers are categorized into topical sections: artificial intelligence in health care; machine learning and deep learning; signal processing; and Internet of Things for smart systems.
- Author
- Shalini Subramani; M. Selvi; S. V. N. Santhosh Kumar; K. Thangaramya; M. Anand; A. Kannan
- Publisher
- Springer International Publishing
- Published
- 2023
- Language
- EN
- ISBN
- 9783031398100
- Subjects
- Business, Computer Science, Technology
More by Shalini Subramani; M. Selvi; S. V. N. Santhosh Kumar; K. Thangaramya; M. Anand; A. Kannan
Similar books
- Computational CBGSA – SVM Model for Network Based Intrusion Detection System — Tina Manghnani; T. Thirumaran (2019)
- ML-IDS: MAC Layer Trust-Based Intrusion Detection System for Wireless Sensor Networks — U. Ghugar; J. Pradhan (2019)
- Design and Analysis of NICS Based Web Attack Detection for Advanced Intrusion Detection System — Shishir Kumar Shandilya (2021)
- Feature Selection Methods for IoT Intrusion Detection System: Comparative Study — Richa Singh; R. L. Ujjwal (2023)
- An XGBoost-Based Approach for an Efficient RPL Routing Attack Detection — Faicel Yaakoubi; Aymen Yahyaoui; Wadii Boulila; Rabah Attia (2022)
- Deep Learning Based Network Intrusion Detection System for Resource-Constrained Environments — Syed Rizvi; Mark Scanlon; Jimmy McGibney; John Sheppard (2023)