HIGHLIGHTS
- who: Muhammad Umar Nasir et al. from the Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University have published the research: Network Meddling Detection Using Machine Learning Empowered with Blockchain Technology, in the Journal: Sensors 2022, 22, 6755. of /2022/
- what: The study presents a framework to analyze and detect meddling in real-time network data and identify numerous meddling patterns that may be harmful to various communication means academic institutes and other industries. As a result, in this study, the authors focus on the problem of large-scale (millions of scales . . .
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