Optimizing Internet-Wide Port Scanning for IoT Security and Network Resilience: A Reinforcement Learning-Based Approach in WLANs with IEEE 802.11ah-Reference-Cited by-同舟云学术

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Optimizing Internet-Wide Port Scanning for IoT Security and Network Resilience: A Reinforcement Learning-Based Approach in WLANs with IEEE 802.11ah

Published:2024-01-02 Issue:1 Volume:43 Page:14-42
ISSN:0146-8030
Container-title:Fiber and Integrated Optics
language:en
Short-container-title:Fiber and Integrated Optics

Author:

Komatnani Govindan Shanthi¹,Vijayaraghavan Hema²,Kishore Anthuvan Sahayaraj Kolandairaj³,Mary Joy Kinol Alphonse⁴

Affiliation:

1. Department of Electronics and Communication Engineering, R.M.K College of Engineering and Technology, Chennai, India

2. Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India

3. Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Chennai, India

4. Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01468030.2024.2342275

Reference23 articles.

1. WiFi HaLow for Long-Range and Low-Power Internet of Things: System on Chip Development and Performance Evaluation

2. Resource Management for Massive Internet of Things in IEEE 802.11ah WLAN: Potentials, Current Solutions, and Open Challenges

3. Genetic Algorithm-Based Grouping Strategy for IEEE 802.11ah Networks

4. 6MID:Mircochain based Intrusion Detection for 6LoWPAN based IoT networks

5. A Novel IoT-Aware WLAN Environment Identification for Efficient Internet-Wide Port Scan

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