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Digital Image Recompression Analysis...

Douglas, Zachary.

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Digital Image Recompression Analysis of Instagram.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Digital Image Recompression Analysis of Instagram./
作者:	Douglas, Zachary.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	110 p.
附註:	Source: Masters Abstracts International, Volume: 57-06.
Contained By:	Masters Abstracts International57-06(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10810729
ISBN:	9780438081543

Digital Image Recompression Analysis of Instagram.
Douglas, Zachary.

Digital Image Recompression Analysis of Instagram. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 110 p.

Source: Masters Abstracts International, Volume: 57-06.

Thesis (M.S.)--University of Colorado at Denver, 2018.

Digital images have been used for years in forensic investigations of crimes. With images taken by digital cameras, cell phones, digital video recorders and more, data can be extracted from the metadata of the image in question. The metadata can then be used to aid in connecting said photograph to the device from which it was captured. In addition, further information is sometimes available that can include GPS data, the date and time an image was captured, and digital signatures of any pieces of software with which they may have interacted. While this forensic data has been key to many investigations, recently a trend has been seen of users uploading their photos to social media websites for others to view. While this is a great convenience for users of social media, for forensic examiners it creates some setbacks in the data that is able to be collected from images obtained off of social media sites. In other recent studies of social media sites such as Facebook, it has been found that when images are uploaded to the social media platforms, the images are recompressed and the metadata is wiped (9). This in turn leaves very little original data in tact, which is traditionally relied upon in forensic examinations in order to establish the provenance of an image. Due to this, this thesis researched how images are recompressed when uploaded to the social media platform Instagram. This will allow investigators to determine how to best retrieve an image from Instagram, what to expect from the metadata included in recovered files, how the structure will appear, and some general guidelines for how the software behaves when interacting with original photos of varying resolutions.

ISBN: 9780438081543Subjects--Topical Terms:

523869
Computer science.

Digital Image Recompression Analysis of Instagram.
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