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Detecting manipulated smartphone data on Android and iOS Devices

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dc.contributor.author Pieterse, Heloise
dc.contributor.author Olivier, M
dc.contributor.author Van Heerden, Renier P
dc.date.accessioned 2019-03-22T11:43:13Z
dc.date.available 2019-03-22T11:43:13Z
dc.date.issued 2018-08
dc.identifier.citation Pieterse, H., Olivier, M. and Van Heerden, R.P. 2018. Detecting manipulated smartphone data on Android and iOS Devices. 17th International Information Security South Africa Conference (ISSA 2018), University of Pretoria, Pretoria, 15-16 August 2018, also published in Proceedings: Springer CCIS (Communications in Computer and Information Science, vol. 973), pp. 89-103 en_US
dc.identifier.isbn 978-3-030-11406-0
dc.identifier.isbn 978-3-030-11407-7
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-3-030-11407-7_7
dc.identifier.uri http://hdl.handle.net/10204/10823
dc.description Copyright: 2018 Springer. Due to copyright restrictions, the attached PDF file contains the accepted version of the published item. For access to the published version, please consult the publisher's website. en_US
dc.description.abstract Ever improving technology allows smartphones to become an integral part of people's lives. The reliance on and ubiquitous use of smartphones render these devices rich sources of data. This data becomes increasingly important when smartphones are linked to criminal or corporate investigations. To erase data and mislead digital forensic investigations, end-users can manipulate the data and change recorded events. This paper investigates the effects of manipulating smartphone data on both the Google Android and Apple iOS platforms. The deployed steps leads to the formulation of a generic process for smartphone data manipulation. To assist digital forensic professionals with the detection of such manipulated smartphone data, this paper introduces an evaluation framework for smartphone data. The framework uses key traces left behind as a result of the manipulation of smartphone data to construct techniques to detect the changed data. The outcome of this research study successfully demonstrates the manipulation of smartphone data and presents preliminary evidence that the suggested framework can assist with the detection of manipulated smartphone data. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Worklist;21741
dc.subject Digital forensics en_US
dc.subject Mobile forensics en_US
dc.subject Manipulation en_US
dc.subject Smartphone data en_US
dc.subject Smartphones en_US
dc.subject Android en_US
dc.subject iOS en_US
dc.title Detecting manipulated smartphone data on Android and iOS Devices en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Pieterse, H., Olivier, M., & Van Heerden, R. P. (2018). Detecting manipulated smartphone data on Android and iOS Devices. Springer. http://hdl.handle.net/10204/10823 en_ZA
dc.identifier.chicagocitation Pieterse, Heloise, M Olivier, and Renier P Van Heerden. "Detecting manipulated smartphone data on Android and iOS Devices." (2018): http://hdl.handle.net/10204/10823 en_ZA
dc.identifier.vancouvercitation Pieterse H, Olivier M, Van Heerden RP, Detecting manipulated smartphone data on Android and iOS Devices; Springer; 2018. http://hdl.handle.net/10204/10823 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Pieterse, Heloise AU - Olivier, M AU - Van Heerden, Renier P AB - Ever improving technology allows smartphones to become an integral part of people's lives. The reliance on and ubiquitous use of smartphones render these devices rich sources of data. This data becomes increasingly important when smartphones are linked to criminal or corporate investigations. To erase data and mislead digital forensic investigations, end-users can manipulate the data and change recorded events. This paper investigates the effects of manipulating smartphone data on both the Google Android and Apple iOS platforms. The deployed steps leads to the formulation of a generic process for smartphone data manipulation. To assist digital forensic professionals with the detection of such manipulated smartphone data, this paper introduces an evaluation framework for smartphone data. The framework uses key traces left behind as a result of the manipulation of smartphone data to construct techniques to detect the changed data. The outcome of this research study successfully demonstrates the manipulation of smartphone data and presents preliminary evidence that the suggested framework can assist with the detection of manipulated smartphone data. DA - 2018-08 DB - ResearchSpace DP - CSIR KW - Digital forensics KW - Mobile forensics KW - Manipulation KW - Smartphone data KW - Smartphones KW - Android KW - iOS LK - https://researchspace.csir.co.za PY - 2018 SM - 978-3-030-11406-0 SM - 978-3-030-11407-7 T1 - Detecting manipulated smartphone data on Android and iOS Devices TI - Detecting manipulated smartphone data on Android and iOS Devices UR - http://hdl.handle.net/10204/10823 ER - en_ZA


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