Residual size is not enough for anomaly detection-Reference-Cited by-同舟云学术

Residual size is not enough for anomaly detection

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
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Author:

Yun Jeong-Han¹,Kim Jonguk¹,Hwang Won-Seok¹,Kim Young Geun²,Woo Simon S.²,Min Byung-Gil¹

Affiliation:

1. The Affiliated Institute of ETRI, Republic of Korea

2. Sungkyunkwan University, Republic of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477314.3506990

Reference36 articles.

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4. C. M. Ahmed , J. Zhou , and A. P. Mathur . 2018. Noise Matters: Using Sensor and Process Noise Fingerprint to Detect Stealthy Cyber Attacks and Authenticate Sensors in CPS . In Proceedings of the 34th Annual Computer Security Applications Conference. C. M. Ahmed, J. Zhou, and A. P. Mathur. 2018. Noise Matters: Using Sensor and Process Noise Fingerprint to Detect Stealthy Cyber Attacks and Authenticate Sensors in CPS. In Proceedings of the 34th Annual Computer Security Applications Conference.

5. A. Andoni , P. Indyk , T. Laarhoven , I. Razenshteyn , and L. Schmidt . 2015. Practical and Optimal LSH for Angular Distance . In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1 . A. Andoni, P. Indyk, T. Laarhoven, I. Razenshteyn, and L. Schmidt. 2015. Practical and Optimal LSH for Angular Distance. In Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 1.

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