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  • 1
    Online Resource
    Online Resource
    Analysis of sysdiagnose in iOS 15 to identify the sending phone number of AirDrop data
    Wiley ; 2022
    In:  Journal of Forensic Sciences Vol. 67, No. 4 ( 2022-07), p. 1704-1707
    Details
    In: Journal of Forensic Sciences, Wiley, Vol. 67, No. 4 ( 2022-07), p. 1704-1707
    Abstract: Modern cell phones allow for easy communication and transfer of data between devices. Unfortunately, some of the data transferred can be of unwelcomed, illicit, or threatening imagery and other files; digital forensic examiners are often asked to identify the source of these files. In this project, we developed a method to gain insights into the device used to send a file via Apple AirDrop. Our method brute forces the partial SHA256 hash entries found in the receiving Apple device's sysdiagnose logs to reveal the sender's phone number, even if that phone number was not known by the receiving device. This research publishes a method to generate permutations of the partial hash values using potential US area codes to identify the complete phone number of the sending device. In this research project, exemplar photographs were transmitted via AirDrop between Apple devices running iOS 15. A sysdiagnose was then generated on the receiving phone and exported by AirDrop to a MacBook Air for analysis. The analysis of the generated sysdiagnose archive found a partial SHA‐256 hash of the sending device's phone number. This research identified a method to generate permutations of the partial SHA‐256 hashes using a possible country and area code for the sending device in order to successfully identify the sending device's phone number. As a result, it was found that the sender of an unknown AirDrop file's phone number can be identified from the receiving device's sysdiagnose log files.
    Type of Medium: Online Resource
    ISSN: 0022-1198 , 1556-4029
    URL: Issue
    URL: Article
    DOI: 10.1111/jfo.v67.4
    DOI: 10.1111/1556-4029.15022
    RVK:
    XA 53670
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2026357-0
    SSG: 2,1
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  • 2
    Online Resource
    Online Resource
    SARS-CoV‑2 incidental findings among Hamburg deaths: an epidemiological monitoring during the dynamic infection event in spring 2020
    Springer Science and Business Media LLC ; 2021
    In:  Rechtsmedizin Vol. 31, No. 5 ( 2021-10), p. 427-433
    Details
    In: Rechtsmedizin, Springer Science and Business Media LLC, Vol. 31, No. 5 ( 2021-10), p. 427-433
    Abstract: In the context of the COVID-19-pandemic, mortality and incidence are key determinants to assess the transmission dynamics and the resulting potential threat. Systematic microbiological monitoring of deaths provides a fundamental basis to particularly assess underrecording of community-acquired mortality. It should be further elucidated whether a death cohort of previously unreported cases may be structurally different from the cohort of officially registered cases. Methods A systematic reverse transcription (RT) qPCR testing for SARS-CoV‑2 infections from nasopharyngeal swab samples was carried out. A representative sample of corpses from crematoria and the Institute of Legal Medicine of the Federal State of Hamburg were included. A comparative analysis of primarily reported and unreported fatalities in an 8‑week period after occurrence of the first pandemic-related deaths in Hamburg was performed. Results A total of 1231 deaths were included, all of which were previously unsuspicious for SARS-CoV‑2 infection. Thereof 29 cases of previously unknown infections were recorded. In the first phase of the pandemic, incidental findings predominantly occurred among younger people from domestic environments with unclear or unnatural manner of death at the Institute of Legal Medicine. Over time, incidental findings investigated at the crematoria increased, mostly related to nursing home residents. The overall cohort showed no significant sociodemographic differences to a comparative collective of known SARS-CoV‑2-associated deaths. Primarily unreported cases showed a significantly lower proportion of COVID-19 as the underlying cause of death. Conclusion A systematic PCR-based monitoring of deaths allows a more targeted detection and classification of SARS-CoV‑2 positive cases. A preventive contribution can be made by disclosing unreported pandemic-related cases of death.
    Type of Medium: Online Resource
    ISSN: 0937-9819 , 1434-5196
    URL: Article
    DOI: 10.1007/s00194-021-00481-w
    RVK:
    PH 141
    Language: German
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1463037-0
    SSG: 2
    SSG: 2,1
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  • 3
    Online Resource
    Online Resource
    On the Lack of Real Consequences in Consumer Choice Research : And Its Consequences
    Hogrefe Publishing Group ; 2019
    In:  Experimental Psychology Vol. 66, No. 1 ( 2019-01), p. 68-76
    Details
    In: Experimental Psychology, Hogrefe Publishing Group, Vol. 66, No. 1 ( 2019-01), p. 68-76
    Abstract: Abstract. Experimental tasks measure actual behavior when the consequences that follow actions and choices mirror those of real-life behavior. Consequently, choice tasks in consumer research would need to include both costs (losing a previously earned endowment) and gains (actually receiving what was chosen) to structurally resemble real-life consumer choices. A literature review of studies ( k = 446) in consumer research confirms that full implementation of consequences is rare. The extent to which presence versus absence of these consequences systematically affects observable behavior is tested in an experiment ( N = 669) comparing a fully consequential (cost and gain consequences), a partially consequential (gain consequence only), and a hypothetical (no consequences) consumer choice task. Results show that consequences, once real, affect both the general willingness to purchase and the relative preferences for different products. Hence, it would seem advisable to more carefully consider the role of consequences in future consumer research.
    Type of Medium: Online Resource
    ISSN: 1618-3169 , 2190-5142
    URL: Article
    DOI: 10.1027/1618-3169/a000420
    RVK:
    CL 1000
    Language: English
    Publisher: Hogrefe Publishing Group
    Publication Date: 2019
    detail.hit.zdb_id: 1237835-5
    detail.hit.zdb_id: 2073857-2
    SSG: 2,1
    SSG: 5,2
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