Open Access
| Issue |
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
|
|
|---|---|---|
| Article Number | 01100 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/matecconf/202439201100 | |
| Published online | 18 March 2024 | |
- Madhu, Bhukya, M. Venu Gopala Chari, Ramdas Vankdothu, Arun Kumar Silivery, and Veerender Aerranagula. “Intrusion detection models for IOT networks via deep learning approaches.” Measurement: Sensors 25 (2023): 100641. [CrossRef] [Google Scholar]
- Madhu, Bhukya, and M. Venu Gopalachari. “Classification of the Severity of Attacks on Internet of Things Networks.” In Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022, pp. 411-424. Singapore: Springer Nature Singapore, 2023. [CrossRef] [Google Scholar]
- Madhu, Bhukya, Sanjib Kumar Nayak, Veerender Aerranagula, E. Srinath, Mamidi Kiran Kumar, and Jitendra Kumar Gupta. “IoT Network Attack Severity Classification.” In E3S Web of Conferences, vol. 430, p. 01152. EDP Sciences, 2023. [CrossRef] [EDP Sciences] [Google Scholar]
- Madhu, Bhukya, Veerender Aerranagula, Riyaz Mahomad, V. Ravindernaik, K. Madhavi, and Gopal Krishna. “Techniques of Machine Learning for the Purpose of Predicting Diabetes Risk in PIMA Indians.” In E3S Web of Conferences, vol. 430, p. 01151. EDP Sciences, 2023. [CrossRef] [EDP Sciences] [Google Scholar]
- Silivery, Arun Kumar, Ram Mohan Rao Kovvur, Ramana Solleti, LK Suresh Kumar, and Bhukya Madhu. “A model for multi-attack classification to improve intrusion detection performance using deep learning approaches.” Measurement: Sensors (2023): 100924. [Google Scholar]
- Rakesh, S., Nagaratna P. Hegde, M. Venu Gopalachari, D. Jayaram, Bhukya Madhu, Mohd Abdul Hameed, Ramdas Vankdothu, and LK Suresh Kumar. “Moving object detection using modified GMM based background subtraction.” Measurement: Sensors 30 (2023): 100898. [CrossRef] [Google Scholar]
- Madhu, Bhukya, M. Venu Gopala Chari, Ramdas Vankdothu, Arun Kumar Silivery, and Veerender Aerranagula. “Intrusion detection models for IOT networks via deep learning approaches.” Measurement: Sensors 25 (2023): 100641. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.