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Research Article | Open Access |

Forensic Analysis of Docker Swarm Cluster using Grr Rapid Response Framework

Author 1: Sunardi Author 2: Imam Riadi Author 3: Andi Sugandi
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 2 · Published 2019 · Cited by 16

DOI: https://doi.org/10.14569/IJACSA.2019.0100260

Abstract

An attack on Internet network does not only hap-pened in the web applications that are running natively by a web server under operating system, but also web applications that are running inside container. The currently popular container machines such as Docker is not always secure from Internet attacks which result in disabling servers that are attacked using DoS/DDoS. Therefore, to improve server performance running this web application and provides the application log, DevOps engineer builds advance method by transforming the system into a cluster computers. Currently this method can be easily implemented using Docker Swarm. This research has successfully investigated digital evidence on the log file of containerized web application running on cluster system built by Docker Swarm. This investigation was carried out by using the Grr Rapid Response (GRR) framework.

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How to Cite this Article

Sunardi, Riadi, I., & Sugandi, A. (2019). Forensic Analysis of Docker Swarm Cluster using Grr Rapid Response Framework. International Journal of Advanced Computer Science and Applications, 10(2). https://doi.org/10.14569/IJACSA.2019.0100260

Sunardi, et al.. "Forensic Analysis of Docker Swarm Cluster using Grr Rapid Response Framework." International Journal of Advanced Computer Science and Applications, vol. 10, no. 2, 2019, https://doi.org/10.14569/IJACSA.2019.0100260.

@article{Sunardi2019,
  title     = {Forensic Analysis of Docker Swarm Cluster using Grr Rapid Response Framework},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {2},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Sunardi and Imam Riadi and Andi Sugandi},
  doi       = {10.14569/IJACSA.2019.0100260},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100260}
}

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