Bipolar fully recurrent deep structured neural learning based attack detection for securing industrial sensor networks
Attack detection is a significant problem to be resolved to attain security in industrial sensor network. Few research works have been designed for performing attack discovery process with the help of different classification algorithms. However, classification performance was lowered to accurately...
Saved in:
Published in | Transactions on emerging telecommunications technologies Vol. 32; no. 7 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
01.07.2021
|
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!