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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2411.13249 |
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| _version_ | 1866915027540246528 |
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| author | Mader, Benedikt Eichenmüller, Christian Pugliese, Gaston Eckhardt, Dennis Benenson, Zinaida |
| author_facet | Mader, Benedikt Eichenmüller, Christian Pugliese, Gaston Eckhardt, Dennis Benenson, Zinaida |
| contents | Lockdown Mode was introduced in 2022 as a hardening setting for Apple's operating systems, designed to strengthen the protection against ``some of the most sophisticated digital threats''. However, Apple never explained these threats further. We present the first academic exploration of Lockdown Mode based on a 3-month autoethnographic study. We obtained a nuanced understanding of user experience and identified issues that can be extrapolated to larger user groups. The lack of information from Apple about the underlying threat model and details on affected features may hinder adequate assessment of Lockdown Mode, making informed decisions on its use challenging. Besides encountering undocumented restrictions, we also experienced both too much and too little visibility of protection during Lockdown Mode use. Finally, we deem the paternalistic security approach by Apple's Lockdown Mode harmful, because without detailed knowledge about technical capabilities and boundaries, at-risk users may be lulled into a false sense of security. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_13249 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | I Blame Apple in Part for My False Expectations: An Autoethnographic Study of Apple's Lockdown Mode in iOS Mader, Benedikt Eichenmüller, Christian Pugliese, Gaston Eckhardt, Dennis Benenson, Zinaida Cryptography and Security Human-Computer Interaction Lockdown Mode was introduced in 2022 as a hardening setting for Apple's operating systems, designed to strengthen the protection against ``some of the most sophisticated digital threats''. However, Apple never explained these threats further. We present the first academic exploration of Lockdown Mode based on a 3-month autoethnographic study. We obtained a nuanced understanding of user experience and identified issues that can be extrapolated to larger user groups. The lack of information from Apple about the underlying threat model and details on affected features may hinder adequate assessment of Lockdown Mode, making informed decisions on its use challenging. Besides encountering undocumented restrictions, we also experienced both too much and too little visibility of protection during Lockdown Mode use. Finally, we deem the paternalistic security approach by Apple's Lockdown Mode harmful, because without detailed knowledge about technical capabilities and boundaries, at-risk users may be lulled into a false sense of security. |
| title | I Blame Apple in Part for My False Expectations: An Autoethnographic Study of Apple's Lockdown Mode in iOS |
| topic | Cryptography and Security Human-Computer Interaction |
| url | https://arxiv.org/abs/2411.13249 |