A Particle Swarm Optimization and Deep Learning Approach for Intrusion Detection System in Internet of Medical Things
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Rajasekhar Chaganti & Vijayakumar Varadarajan & Venkata Subbarao Gorantla & Thippa Reddy Gadekallu & Vinayakumar Ravi, 2022. "Blockchain-Based Cloud-Enabled Security Monitoring Using Internet of Things in Smart Agriculture," Future Internet, MDPI, vol. 14(9), pages 1-20, August.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Firuz Kamalov & Behrouz Pourghebleh & Mehdi Gheisari & Yang Liu & Sherif Moussa, 2023. "Internet of Medical Things Privacy and Security: Challenges, Solutions, and Future Trends from a New Perspective," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
- Zixuan Ding & Qi Xie, 2023. "Provably Secure Dynamic Anonymous Authentication Protocol for Wireless Sensor Networks in Internet of Things," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
- Mohammed Rizwanullah & Hadeel Alsolai & Mohamed K. Nour & Amira Sayed A. Aziz & Mohamed I. Eldesouki & Amgad Atta Abdelmageed, 2023. "Hybrid Muddy Soil Fish Optimization-Based Energy Aware Routing in IoT-Assisted Wireless Sensor Networks," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
- Anand Singh Rajawat & S. B. Goyal & Pradeep Bedi & Tony Jan & Md Whaiduzzaman & Mukesh Prasad, 2023. "Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT)," Future Internet, MDPI, vol. 15(8), pages 1-21, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Sharnil Pandya & Thippa Reddy Gadekallu & Praveen Kumar Reddy Maddikunta & Rohit Sharma, 2022. "A Study of the Impacts of Air Pollution on the Agricultural Community and Yield Crops (Indian Context)," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
More about this item
Keywords
internet of medical things; cyber security; intrusion detection system; particle swarm optimization; deep learning; deep neural network; network attacks;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12828-:d:936252. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.