DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques-Reference-Cited by-同舟云学术

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DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques

Published:2016 Issue: Volume: Page:197-211
ISSN:0302-9743
Container-title:Advances in Data Mining. Applications and Theoretical Aspects
language:
Short-container-title:

Author:

Borisenko Konstantin,Smirnov Andrey,Novikova Evgenia,Shorov Andrey

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-41561-1_15

Reference21 articles.

1. Amazon Web Services, Inc.: Amazon Web Services (AWS) - Cloud Computing Services. https://aws.amazon.com

2. Lecture Notes in Computer Science;Y Bekeneva,2015

3. Choudhary, S., Srinivasan, B.: Usage of netflow in security and monitoring of computer networks. Int. J. Comput. Appl. 68, 17–24 (2013)

4. Cloudsecurityalliance.org.: Top Threats: Cloud Security Alliance. https://cloudsecurityalliance.org/research/top-threats

5. Delimitrou, C., Kozyrakis, C.: Security implications of data mining in cloud scheduling. IEEE Comput. Archit. Lett. 1-1 (2015)

Cited by 11 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. Implementation of Machine Learning Based DDOS Attack Detection System;2022 3rd International Conference for Emerging Technology (INCET);2022-05-27

2. An Effective Feature Extraction Mechanism for Intrusion Detection System;IEICE Transactions on Information and Systems;2021-11-01

3. Efficient and reliable forensics using intelligent edge computing;Future Generation Computer Systems;2021-05

4. Machine Learning for Cloud Security: A Systematic Review;IEEE Access;2021

5. The HTTP Flooding Attack Detection to Secure and Safeguard Online Applications in the Cloud;Research Anthology on Combating Denial-of-Service Attacks;2021

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