Using Machine Learning for DoS Attacks Diagnostics

Author:

Krivchenkov AleksandrORCID,Misnevs BorissORCID,Grakovski AlexanderORCID

Publisher

Springer International Publishing

Reference11 articles.

1. ENISA European Union Agency for Network and Information Security (ENISA), Threat Landscape Report 2018 15 Top Cyberthreats and Trends (2019). ISBN 978-929204-286-8, ISSN 2363-3050, https://doi.org/10.2824/622757, www.enisa.europa.eu

2. Scarfone, K., Mell, P.: Guide to Intrusion Detection and Prevention Systems (IDPS), National Institute of Standards and Technology, Special Publication 800–94 (2007). https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-94.pdf

3. Muniz, J., Lakhani, A.: Investigating the Cyber Breach: The Digital Forensics Guide for the Network Engineer. Pearson Education Inc., Indianapolis (2018)

4. Abdelhameed, M.: Designing an online and reliable statistical anomaly detection framework for dealing with large high-speed network traffic. A thesis for the degree of Doctor of Philosophy. University of New South Wales Australia. June 2017. https://www.researchgate.net/publication/328784548_Designing_an_online_and_reliable_statistical_anomaly_detection_framework_for_dealing_with_large_high-speed_network_traffic#fullTextFileContent. Accessed 05 July 2020

5. Al-Garadi, M., Mohamed, A., Al-Ali, A., Du, X., Guizani, M.: A survey of machine and deep learning methods for Internet of Things (IoT) security (2018). https://www.researchgate.net/publication/326696402_A_Survey_of_Machine_and_Deep_Learning_Methods_for_Internet_of_Things_IoT_Security. Accessed 05 July 2020

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1. Mitigating DoS Attack in MANETs Considering Node Reputation with AI;Journal of Network and Systems Management;2023-06-07

2. Enhancing DDoS Attacks Detection in SOCs by ML Algorithms;Advances on Intelligent Computing and Data Science;2023

3. Feature Selection Method for Ml/Dl Classification of Network Attacks in Digital Forensics;Transport and Telecommunication Journal;2022-04-01

4. Structural Analysis of the NSL-KDD Data Sets for Solving the Problem of Attacks Detection Using ML/DL Methods;Lecture Notes in Networks and Systems;2022

5. Experimental Comparison of ML/DL Approaches for Cyberattacks Diagnostics;Theory and Engineering of Dependable Computer Systems and Networks;2021

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