On Designing a Lesser Obtrusive Authentication Protocol to Prevent Machine-Learning-Based Threats in Internet of Things-Reference-Cited by-同舟云学术

On Designing a Lesser Obtrusive Authentication Protocol to Prevent Machine-Learning-Based Threats in Internet of Things

Author:

Chakraborty Nilesh¹,Li Jian-Qiang¹^ORCID,Mondal Samrat²,Luo Chengwen¹^ORCID,Wang Huihui³^ORCID,Alazab Mamoun⁴^ORCID,Chen Fei¹^ORCID,Pan Yi⁵^ORCID

Affiliation:

1. College of Computer Science and Engineering, Shenzhen University, Shenzhen, China

2. Department of Computer Science and Engineering, Indian Institute of Technology Patna, Patna, India

3. Department of Engineering, Jacksonville University, Jacksonville, FL, USA

4. College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT, Australia

5. Department of Computer Science, Georgia State University, Atlanta, GA, USA

Funder

National Science Foundation of China

Technology Planning Project of Shenzhen City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Deep reinforcement learning-based Smart Education System with wireless sensor network virtualization;2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS);2023-11-16

5. A Comprehensive Overview of Machine Learning Algorithms and their Applications;International Journal of Advanced Research in Science, Communication and Technology;2021-12-31