An Intelligent Risk Mining Method by Whole Process-Oriented Risk Analysis Model-Reference-Cited by-同舟云学术

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An Intelligent Risk Mining Method by Whole Process-Oriented Risk Analysis Model

Published:2024-02-02 Issue: Volume: Page:616-620
ISSN:
Container-title:Proceedings of the 2024 16th International Conference on Machine Learning and Computing
language:
Short-container-title:

Author:

Liu Lijuan¹^ORCID,Shi Li²^ORCID

Affiliation:

1. Shanghai Branch of National Computer Network Emergency Response Technical Team/Coordination Center of China, China

2. National Computer Network Emergency Response Technical Team/Coordination Center of China, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3651671.3651779

Reference16 articles.

1. Wang Xiao;Wang Xudong. GraphPowerNet: Graph-based power consumption profiling for mobile phone applications. Computer Networks. Volume 237 , Issue . 2023. PP 110056

2. Nafa Youcef;Chen Qun;Hou Boyi Adaptive deep learning for entity disambiguation via knowledge-based risk analysis. Expert Systems With Applications. Volume 238 , Issue PE . 2024

3. Basile Cataldo;De Sutter Bjorn;Canavese Daniele Design, implementation, and automation of a risk management approach for man-at-the-End software protection. Computers & Security. Volume 132 , Issue . 2023

4. Li Xinchuan, Fang Yi, Yu Runqi, etc. Risk Detection and Countermeasure Analysis of Yusup Mobile App. Electronic Technology. 2022,51(10)

5. Gao Jianqi;Luo Xiangfeng;Wang Hao. An uncertain future: Predicting events using conditional event evolutionary graph. Concurrency and Computation: Practice and Experience. Volume 33, Issue 9. 2020

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