IoT Botnet Detection on Flow Data using Autoencoders-Reference-Cited by-同舟云学术

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IoT Botnet Detection on Flow Data using Autoencoders

Published:2021-09-07 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)
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Author:

Kompougias Orestis,Papadopoulos Dimitris,Mantas Evangelos,Litke Antonis,Papadakis Nikolaos,Paraschos Dimitris,Kourtis Akis,Xylouris George

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9647430/9647442/09647639.pdf?arnumber=9647639

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Healthcare security in cloud‐based wireless sensor networks: Botnet attack detection via autoencoder‐aided goal‐based artificial intelligent agent;Concurrency and Computation: Practice and Experience;2024-06-09

2. ZeekFlow: Deep Learning-Based Network Intrusion Detection a Multimodal Approach;Lecture Notes in Computer Science;2024

3. Anomaly Detection in Cloud Computing using Knowledge Graph Embedding and Machine Learning Mechanisms;Journal of Grid Computing;2023-12-29

4. IoT Security: A Deep Learning-Based Approach for Intrusion Detection and Prevention;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

5. PALANTIR: An NFV-Based Security-as-a-Service Approach for Automating Threat Mitigation;Sensors;2023-02-02

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