期刊名称：Journal of Systemics, Cybernetics and Informatics
印刷版ISSN：1690-4532
电子版ISSN：1690-4524
出版年度：2018
卷号：16
期号：1
页码：33-38
出版社：International Institute of Informatics and Cybernetics
摘要：We have developed a new distributed computing capability,
Digital Forensics Compute Cluster (DFORC2) to speed up the
ingestion and processing of digital evidence. DFORC2
parallelizes evidence ingestion and file processing steps. It can
be run on a standalone server or in the Amazon Web Services
(AWS) cloud. When running in a cloud computing
environment, its cluster resources can be dynamically scaled up
or down using Kubernetes. DFORC2 is an open source project
that uses Autopsy, Apache Spark and Kafka, and other open
source software packages. It extends Autopsy’s forensics
capabilities to compute clusters and cloud architectures, so key
digital forensics tasks can be accomplished simultaneously by a
scalable array of cluster compute nodes. In this paper we
compare the performance of a DFORC2 with a standalone
version of Autopsy for evidentiary hard drives of different sizes.
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