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 language | English |
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Title of host publication | 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService) |
Publisher | IEEE |
Pages | 113-119 |
Number of pages | 7 |
ISBN (Electronic) | 9781728170220 |
DOIs | |
Publication status | Published - Aug 2020 |
Externally published | Yes |
Event | 6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, BigDataService 2020 - Keble College, Oxford, United Kingdom Duration: 13 Apr 2020 → 16 Apr 2020 Conference number: 6 |
Conference
Conference | 6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, BigDataService 2020 |
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Abbreviated title | BigDataService 2020 |
Country/Territory | United Kingdom |
City | Oxford |
Period | 13/04/20 → 16/04/20 |