DoS and DDoS mitigation using Variational Autoencoders-Reference-Cited by-同舟云学术

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DoS and DDoS mitigation using Variational Autoencoders

Published:2021-11 Issue: Volume:199 Page:108399
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Bårli Eirik Molde^ORCID,Yazidi Anis,Viedma Enrique Herrera,Haugerud Hårek^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference62 articles.

1. Cisco visual networking index: Forecast and trends, 2017–2022;Inc. Cisco Systems,2019

2. Denial of service: How businesses evaluate the threat of ddos attacks;Kaspersky Lab,2015

3. Global it security risks survey;Kaspersky Lab,2015

4. Rise of the machines: The dyn attack was just a practice run;Scott,2016

5. 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS & PW);Moura,2020

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2. Exploring security threats and solutions Techniques for Internet of Things (IoT): from vulnerabilities to vigilance;Frontiers in Artificial Intelligence;2024-05-15

3. Exploring the effect of training-time randomness on the performance of deep neural networks for intrusion detection;Soft Computing;2024-01-11

4. Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information and Event Management;IEEE Access;2024

5. An Anomaly Intrusion Detection Systems in IoT Based on Autoencoder: A Review;Lecture Notes on Data Engineering and Communications Technologies;2024

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