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Digital Forensics Compute Cluster (DFORC2) - A New High Speed Distributed Computing Capability for Digital Forensics

机译:数字取证计算集群(DFORC2)-数字取证的新型高速分布式计算功能

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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.
机译:我们已经开发了一种新的分布式计算功能,即数字取证计算集群(DFORC2),可以加快数字证据的提取和处理速度。 DFORC2并行处理证据提取和文件处理步骤。它可以在独立服务器上或在Amazon Web Services(AWS)云中运行。在云计算环境中运行时,可以使用Kubernetes动态扩展或缩小其群集资源。 DFORC2是一个开放源代码项目,它使用Autopsy,Apache Spark和Kafka以及其他开放源代码软件包。它将Autopsy的取证功能扩展到计算集群和云架构,因此关键的数字取证任务可以通过可扩展的集群计算节点阵列同时完成。在本文中,我们将DFORC2与独立版本的Autopsy的性能进行比较,以用于不同大小的证据硬盘。

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