RNN-based DDoS Detection in IoT Scenario

Chun Yu Chen, Lo An Chen, Yun Zhan Cai, Meng Hsun Tsai

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

With the advancement of wired and wireless communication technologies, the Internet of Things (IoT) devices are also increasing. Hackers exploit a massive amount of IoT devices, which lack security protection for specific purposes. Distributed denial of service (DDoS) attack is an enhanced denial of service (DoS) attack and is one of these hacked devices' common usages. This paper proposes a time-stamped bi-directional gated recurrent unit (GRU) model to detect DDoS attacks. Compared with previous work, our method maintains higher accuracy and lower training time. Generally, in most DDoS attack schemes, the accuracy is still high.

原文English
主出版物標題Proceedings - 2020 International Computer Symposium, ICS 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面448-453
頁數6
ISBN(電子)9781728192550
DOIs
出版狀態Published - 12月 2020
事件2020 International Computer Symposium, ICS 2020 - Tainan, Taiwan
持續時間: 17 12月 202019 12月 2020

出版系列

名字Proceedings - 2020 International Computer Symposium, ICS 2020

Conference

Conference2020 International Computer Symposium, ICS 2020
國家/地區Taiwan
城市Tainan
期間17/12/2019/12/20

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