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

机译:数字取证计算群集(DForc2) - 一种用于数字取证的新型高速分布式计算能力

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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:我们开发了一种新的分布式计算能力,数字取证计算集群(DForc2),以加快摄取和处理数字证据。 dforc2并行化证据摄取和文件处理步骤。它可以在独立服务器上运行,也可以在Amazon Web服务(AWS)云上运行。在云计算环境中运行时,其集群资源可以使用Kubernetes动态缩放或缩小。 DFORC2是一种开源项目,使用尸检,Apache Spark和Kafka以及其他开源软件包。它扩展了utacopsy的取证功能来计算集群和云体系结构,因此可以通过可扩展的群集计算节点同时同时完成密钥数字取消敏感任务。在本文中,我们将DForc2的性能与独立版本的尸检进行了比较,以获得不同尺寸的证据硬盘。

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