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Reference architecture for android applications to support the detection of manipulated evidence

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dc.contributor.author Pieterse, Heloise
dc.contributor.author Olivier, MS
dc.contributor.author Van Heerden, Renier P
dc.date.accessioned 2017-01-16T09:39:50Z
dc.date.available 2017-01-16T09:39:50Z
dc.date.issued 2016-06
dc.identifier.citation Pieterse, H., Olivier, M.S and Van Heerden, R. P. 2016. Reference architecture for android applications to support the detection of manipulated evidence. SAIEE Africa Research Journal (Transactions of the South African Institute of Electrical Engineers) 107, pp 92-103. en_US
dc.identifier.issn 1991-1696
dc.identifier.issn 1991-1696
dc.identifier.uri http://www.saiee.org.za/displaycustomlink.aspx?name=ARJ107June2016Part2
dc.identifier.uri http://hdl.handle.net/10204/8901
dc.identifier.uri https://ieeexplore.ieee.org/document/8531545
dc.identifier.uri DOI: 10.23919/SAIEE.2016.8531545
dc.description Copyright: 2016 South African Institute of Electrical Engineers.For access to the full text item, please consult the publisher's website. The definitive version of the work is published in the SAIEE Africa Research Journal (Transactions of the South African Institute of Electrical Engineers)107, pp92–103 en_US
dc.description.abstract Traces found on Android smartphones form a significant part of digital investigations. A key component of these traces is the date and time, often formed as timestamps. These timestamps allow the examiner to relate the traces found on Android smartphones to some real event that took place. This paper performs exploratory experiments that involve the manipulation of timestamps found in SQLite databases on Android smartphones. Based on observations, specific heuristics are identified that may allow for the identification of manipulated timestamps. To overcome the limitations of these heuristics, a new reference architecture for Android applications is also introduced. The reference architecture provides examiners with a better understanding of Android applications as well as the associated digital evidence. The results presented in the paper show that the suggested techniques to establish the authenticity and accuracy of digital evidence are feasible. en_US
dc.language.iso en en_US
dc.publisher South African Institute of Electrical Engineers en_US
dc.relation.ispartofseries Workflow;17639
dc.subject Android smartphones en_US
dc.subject Digital investigations en_US
dc.subject Timestamps en_US
dc.title Reference architecture for android applications to support the detection of manipulated evidence en_US
dc.type Article en_US
dc.identifier.apacitation Pieterse, H., Olivier, M., & Van Heerden, R. P. (2016). Reference architecture for android applications to support the detection of manipulated evidence. http://hdl.handle.net/10204/8901 en_ZA
dc.identifier.chicagocitation Pieterse, Heloise, MS Olivier, and Renier P Van Heerden "Reference architecture for android applications to support the detection of manipulated evidence." (2016) http://hdl.handle.net/10204/8901 en_ZA
dc.identifier.vancouvercitation Pieterse H, Olivier M, Van Heerden RP. Reference architecture for android applications to support the detection of manipulated evidence. 2016; http://hdl.handle.net/10204/8901. en_ZA
dc.identifier.ris TY - Article AU - Pieterse, Heloise AU - Olivier, MS AU - Van Heerden, Renier P AB - Traces found on Android smartphones form a significant part of digital investigations. A key component of these traces is the date and time, often formed as timestamps. These timestamps allow the examiner to relate the traces found on Android smartphones to some real event that took place. This paper performs exploratory experiments that involve the manipulation of timestamps found in SQLite databases on Android smartphones. Based on observations, specific heuristics are identified that may allow for the identification of manipulated timestamps. To overcome the limitations of these heuristics, a new reference architecture for Android applications is also introduced. The reference architecture provides examiners with a better understanding of Android applications as well as the associated digital evidence. The results presented in the paper show that the suggested techniques to establish the authenticity and accuracy of digital evidence are feasible. DA - 2016-06 DB - ResearchSpace DP - CSIR KW - Android smartphones KW - Digital investigations KW - Timestamps LK - https://researchspace.csir.co.za PY - 2016 SM - 1991-1696 SM - 1991-1696 T1 - Reference architecture for android applications to support the detection of manipulated evidence TI - Reference architecture for android applications to support the detection of manipulated evidence UR - http://hdl.handle.net/10204/8901 ER - en_ZA


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