API Behavior Anomaly Detection Method Based on Deep Learning and Adaptive Clustering-Reference-Cited by-同舟云学术

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API Behavior Anomaly Detection Method Based on Deep Learning and Adaptive Clustering

Published:2023-11-17 Issue: Volume:26 Page:926-931
ISSN:
Container-title:2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)
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Author:

Liu Xinyu¹,Zhang Jing¹,Su Beibei¹,Shang Zhijie¹,Zhao Jinmeng¹,Dong Zixian¹

Affiliation:

1. Information Communication Branch of State Grid Corporation of China,Operation and Maintenance Management Dept,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455087/10454140/10456177.pdf?arnumber=10456177

Reference15 articles.

1. Development of Vulnerable Web Application Based on OWASP API Security Risks

2. Docker Remote API Unauthorized Access Vulnerability Exploitation Tool [J];Jian;Computer System Application,2017

3. Overview of Cloud Application Programming Interface Security Research: Threats and Protection [J];Zhen;Journal of Electronics and Information Technology,2023

4. Web Command Injection Vulnerability Detection for Cisco IOS-XE [J];Jie;Computer Science,2023

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