Big Data Platform for Analysing Crime Evidences

J.M. Do Valle, G. Souza, S. Fidelis, A. Araujo, N. Cacho, I. Silva, J. Budke, H. Sales, M.W. Filgueira, F. Lopes, D. Araujo, R. Silva Junior

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

During a criminal investigation, the evidence collection process produces an enormous amount of data. These data are present in many medias that are extracted as crime evidences (USB flash drives, smartphones, hard drives, computers, etc). Due to this data volume, the manual analysis is slow and costly. This work fulfills this gap by presenting a data extraction and processing platform for crime evidence analysis, named INSIDE. Our proposed platform leverages a lambda architecture and uses a set of tools and frameworks such as Hadoop HDFS, Kafka, Spark and Docker to analyze a big volume of data at an acceptable time. We also present an example of the proposed platform in use by the Public Ministry of Rio Grande do Norte(Brazil), where some evaluative tests have been carried out.

Original languageEnglish
Title of host publication2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService)
PublisherIEEE
Pages113-119
Number of pages7
ISBN (Electronic)9781728170220
DOIs
Publication statusPublished - Aug 2020
Externally publishedYes
Event6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, BigDataService 2020 - Keble College, Oxford, United Kingdom
Duration: 13 Apr 202016 Apr 2020
Conference number: 6

Conference

Conference6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, BigDataService 2020
Abbreviated titleBigDataService 2020
CountryUnited Kingdom
CityOxford
Period13/04/2016/04/20

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