Towards a Lightweight Detection System Leveraging Ranking Techniques with Wrapper Feature Selection Algorithm for Selective Forwarding Attacks in Low power and Lossy Networks of IoTs
Author:
Affiliation:
1. Universiti Sains Malaysia,National Advanced IPv6 (Nav6) Centre,Malaysia,11800 USM
2. Universiti Sains,School of Computer Sciences,Gelugor,Penang,Malaysia,11800
3. Al-Ahliyya Amman University,Department of Networks and Cybersecurity,Amman,Jordan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10638789/10638835/10638838.pdf?arnumber=10638838
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1. Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0
2. Introduction to the application of service-based blockchain technology in internet of things application
3. Internet of Things (IoT): A Review of Its Enabling Technologies in Healthcare Applications, Standards Protocols, Security, and Market Opportunities
4. OPSMOTE-ML: an optimized SMOTE with machine learning models for selective forwarding attack detection in low power and lossy networks of internet of things
5. A Robust Security Scheme Based on Enhanced Symmetric Algorithm for MQTT in the Internet of Things
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