Multiclass Classification Approaches for Intrusion Detection in IoT-Driven Aerial Computing Environment-Reference-Cited by-同舟云学术

Multiclass Classification Approaches for Intrusion Detection in IoT-Driven Aerial Computing Environment

Published:2023-12-04 Issue: Volume: Page:
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Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Mittal Saksham¹,Mishra Amit Kumar²,Wazid Mohammad¹,Singh D. P.¹,Das Ashok Kumar³,Shetty Sachin⁴

Affiliation:

1. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India,248 002

2. Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun, Uttarakhand, India

3. Center for Security, Theory and Algorithmic Research, International Institute of Information Technology,Hyderabad,India,500 032

4. Virginia Modeling, Analysis and Simulation Center, Center for Cybersecurity Education and Research, Old Dominion University,Department of Modeling, Simulation and Visualization Engineering,Suffolk,VA,USA,23435

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10436894.pdf?arnumber=10436894

Reference18 articles.

1. Secure Aerial Computing: Convergence of Mobile Edge Computing and Blockchain for UAV Networks

2. Secure Communication Framework for Blockchain-Based Internet of Drones-Enabled Aerial Computing Deployment

3. Towards A Secure and Computational Framework for Internet of Drones Enabled Aerial Computing

4. BSFR-SH: Blockchain-Enabled Security Framework Against Ransomware Attacks for Smart Healthcare

5. Machine Learning Based Intrusion Detection System

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