Figure 8 - uploaded by Tiago Carvalho
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Fake criminal record published by newspaper Folha de São Paulo involving president Dilma Rousseff. After the forgery has been proved by forensics experts, the newspaper had to publish a public disclaimer about the fact. Source: Folha de São Paulo 4 .
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It is impressive how fast science has improved day by day in so many different fields. In special, technology advances are shocking so many people bringing to their reality facts that previously were beyond their imagination. Inspired by methods earlier presented in scientific fiction shows, the computer science community has created a new research...
Citations
... Author [13][14][15] has carried out the forensic analysis for the communication applications, social messaging application, etc. The enforcement of machine learning technique in security imparts improved simplification and efficient problem solving [16][17][18][19][20]. ...
The importance of This Thesis is that it identifies the problems facing the Photographers through producing Digital Composite Photographs, and finding appropriate solutions, to achieve an ideal homogeneous digital composite photography that appears to be fully photographed in the same scene and place, The problems lie in Lightning, Camera angle, the Focal length of the lenses that used through photographing the composite elements, Taking into consideration the quality of the image produced by the sensor due to the type of it and the built-in processor that produces a specific color range, So, this thesis consists of two keyframes. The first framework is theoretical which consists of four chapters, The second one is pragmatically represented in the fifth chapter through the applied - practical experiments
With the advancement of digital crimes, the field of digital forensic science grows more and more, and with this growth, the search for faster and more accurate solutions to aid the investigation process becomes a necessity. In the context of the Brazilian judicial system, during a criminal investigation, forensic specialists extract, decode, and analyze the evidence collected to allow the prosecutor to make legal demands for a prosecution. These specialists have a very short time to analyze to find criminal evidence and the process can take a long time. To solve this problem this paper proposes to use a micro-services-based application with artificial intelligence to process large amounts of images contained in criminal evidence using open-source software. The image classification module contains some pre-trained classifiers, considering the needs of forensic analysts of the Rio Grande do Norte District Attorney's Office (MPRN). The models were built to identify specific types of objects, for example, firearms, ammunition, Brazilian identity cards, text documents, cell phone screen captures, and nudity. The results obtained show that the system achieved good accuracy in most cases. This is extremely important in the context of this research, where false positives should be avoided in order to save analysts' working time. Moreover, the proposed architecture was able to speed up the image classification process using Apache Spark.
With the advancement of digital crimes, the field of digital forensic science grows more and more, and with this growth, the search for faster and more accurate solutions to aid the investigation process becomes a necessity. In the context of the Brazilian judicial system, during a criminal investigation, forensic specialists extract, decode, and analyze the evidence collected to allow the prosecutor to make legal demands for a prosecution. These specialists have a very short time to analyze to find criminal evidence and the process can take a long time. To solve this problem this paper proposes to use a micro-services-based application with artificial intelligence to process large amounts of images contained in criminal evidence using open-source software. The image classification module contains some pre-trained classifiers, considering the needs of forensic analysts of the Rio Grande do Norte District Attorney's Office (MPRN). The models were built to identify specific types of objects, for example, firearms, ammunition, Brazilian identity cards, text documents, cell phone screen captures, and nudity. The results obtained show that the system achieved good accuracy in most cases. This is extremely important in the context of this research, where false positives should be avoided in order to save analysts' working time. Moreover, the proposed architecture was able to speed up the image classification process using Apache Spark.
