Title | ||
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Edge Computing and Deep Learning Enabled Secure Multitier Network for Internet of Vehicles |
Abstract | ||
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Internet of Vehicles (IoVs) are fast becoming the norm in our society, but such a trend also comes with its own set of challenges (e.g., new security and privacy risks due to the expanded attack vectors). In this work, we propose an edge-computing-based secure, efficient, and intelligent multitier heterogeneous IoVs network. We first discuss the functionality and objectives of such an architecture... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/JIOT.2021.3071362 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Logic gates,Deep learning,Internet of Things,Security,Computer architecture,Neural networks,Image edge detection | Journal | 8 |
Issue | ISSN | Citations |
19 | 2327-4662 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Harsh Grover | 1 | 1 | 0.35 |
Tejasvi Alladi | 2 | 55 | 4.57 |
Vinay Chamola | 3 | 174 | 24.09 |
Dheerendra Singh | 4 | 1 | 0.35 |
Kim-Kwang Raymond Choo | 5 | 4103 | 362.49 |