SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications-Reference-Cited by-同舟云学术

SHIL: Self-Supervised Hybrid Learning for Security Attack Detection in Containerized Applications

Published:2022-09 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
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Author:

Lin Yuhang¹,Tunde-Onadele Olufogorehan¹,Gu Xiaohui¹,He Jingzhu²,Latapie Hugo³

Affiliation:

1. North Carolina State University

2. ShanghaiTech University

3. Cisco

Publisher

IEEE

Link

Reference34 articles.

3. Support vector method for novelty detection;schölkopf;Advances in neural information processing systems,2000

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