High Rate Denial-of-Service Attack Detection System for Cloud Environment Using Flume and Spark


Janitza Punto Gutierrez, Kilhung Lee, Journal of Information Processing Systems Vol. 17, No. 4, pp. 675-689, Aug. 2021  

https://doi.org/10.3745/JIPS.03.0164
Keywords: Denial-of-Service, FP-Growth Pre-filtering, HDFS Spark Streaming, Web Log
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Abstract

Nowadays, cloud computing is being adopted for more organizations. However, since cloud computing has a virtualized, volatile, scalable and multi-tenancy distributed nature, it is challenging task to perform attack detection in the cloud following conventional processes. This work proposes a solution which aims to collect web server logs by using Flume and filter them through Spark Streaming in order to only consider suspicious data or data related to denial-of-service attacks and reduce the data that will be stored in Hadoop Distributed File System for posterior analysis with the frequent pattern (FP)-Growth algorithm. With the proposed system, we can address some of the difficulties in security for cloud environment, facilitating the data collection, reducing detection time and consequently enabling an almost real-time attack detection.


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Cite this article
[APA Style]
Gutierrez, J. & Lee, K. (2021). High Rate Denial-of-Service Attack Detection System for Cloud Environment Using Flume and Spark. Journal of Information Processing Systems, 17(4), 675-689. DOI: 10.3745/JIPS.03.0164.

[IEEE Style]
J. P. Gutierrez and K. Lee, "High Rate Denial-of-Service Attack Detection System for Cloud Environment Using Flume and Spark," Journal of Information Processing Systems, vol. 17, no. 4, pp. 675-689, 2021. DOI: 10.3745/JIPS.03.0164.

[ACM Style]
Janitza Punto Gutierrez and Kilhung Lee. 2021. High Rate Denial-of-Service Attack Detection System for Cloud Environment Using Flume and Spark. Journal of Information Processing Systems, 17, 4, (2021), 675-689. DOI: 10.3745/JIPS.03.0164.