Source-side DoS attack detection with LSTM and seasonality embedding-Reference-Cited by-同舟云学术

Source-side DoS attack detection with LSTM and seasonality embedding

Published:2021-03-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th Annual ACM Symposium on Applied Computing
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Author:

Yeom Sungwoong¹,Choi Chulwoong¹,Kim Kyungbaek¹

Affiliation:

1. Chonnam National University, Gwangju City, South Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3412841.3441987

Reference23 articles.

1. Manos Antonakakis Tim April Michael Bailey Matt Bernhard Elie Bursztein Jaime Cochran Zakir Durumeric J Alex Halderman Luca Invernizzi Michalis Kallitsis etal 2017. Understanding the mirai botnet. In 26th {USENIX} security symposium ({USENIX} Security 17). 1093--1110. Manos Antonakakis Tim April Michael Bailey Matt Bernhard Elie Bursztein Jaime Cochran Zakir Durumeric J Alex Halderman Luca Invernizzi Michalis Kallitsis et al. 2017. Understanding the mirai botnet. In 26th { USENIX } security symposium ( { USENIX } Security 17). 1093--1110.

2. Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction

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