| Research on Robustness of Network Security Vulnerability Detection Algorithm based on Recurrent Bayesian Networks | |
|---|---|
| Author | |
| Abstract |
Vulnerability Detection 2022 - Aiming at the problems of low detection accuracy and poor robustness of the existing zero-speed detection methods, an effective gait cycle segmentation method is adopted and a Bayesian network model based on inertial sensor measurements and kinematics knowledge is introduced to infer the zero-speed interval; The method can effectively reduce the ambiguity of the zero velocity (ZV) boundary. S upport vector machine has the advantages of versatility, simple calculation, high operation efficiency and perfect theory. It is a relatively mature and efficient algorithm in the current network security situation algorithm. And a looped Bayesian network model for probabilistic safety assessment of simple feedback control systems is established. |
| Year of Publication |
2022
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| Date Published |
jul
|
| Publisher |
IEEE
|
| Conference Location |
Nepal
|
| ISBN Number |
978-1-66540-837-0
|
| URL |
https://ieeexplore.ieee.org/document/9850619/
|
| DOI |
10.1109/ICICT54344.2022.9850619
|
| Google Scholar | BibTeX | DOI | |