What Users Want From Cloud Deletion and the Information They Need: A Participatory Action Study

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Privacy and Security Pub Date : 2022-11-07 DOI:https://dl.acm.org/doi/10.1145/3546578
Kopo Marvin Ramokapane, Jose Such, Awais Rashid
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引用次数: 0

Abstract

Current cloud deletion mechanisms fall short in meeting users’ various deletion needs. They assume all data is deleted the same way—data is temporally removed (or hidden) from users’ cloud accounts before being completely deleted. This assumption neglects users’ desire to have data completely deleted instantly or their preference to have it recoverable for a more extended period. To date, these preferences have not been explored. To address this gap, we conducted a participatory study with four groups of active cloud users (five subjects per group). We examined their deletion preferences and the information they require to aid deletion. In particular, we explored how users want to delete cloud data and identify what information about cloud deletion they consider essential, the time it should be made available to them, and the communication channel that should be used. We show that cloud deletion preferences are complex and multi-dimensional, varying between subjects and groups. Information about deletion should be within reach when needed, for instance, be part of deletion controls. Based on these findings, we discuss the implications of our study in improving the current deletion mechanism to accommodate these preferences.

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用户想从云删除和他们需要的信息:一个参与式行动研究
目前的云删除机制无法满足用户的各种删除需求。他们假设所有数据都以同样的方式删除——在完全删除之前,数据暂时从用户的云帐户中删除(或隐藏)。这个假设忽略了用户希望立即完全删除数据的愿望,或者他们希望在更长的时间内恢复数据的愿望。到目前为止,这些偏好还没有被探索过。为了解决这一差距,我们对四组活跃的云用户(每组五名受试者)进行了一项参与性研究。我们检查了他们的删除偏好和他们需要帮助删除的信息。特别是,我们探讨了用户希望如何删除云数据,并确定他们认为哪些关于云删除的信息是必要的,应该向他们提供这些信息的时间,以及应该使用的沟通渠道。我们表明,云删除偏好是复杂和多维的,在受试者和群体之间有所不同。有关删除的信息应该在需要时触手可及,例如,作为删除控件的一部分。基于这些发现,我们讨论了我们的研究在改进当前的删除机制以适应这些偏好方面的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACM Transactions on Privacy and Security
ACM Transactions on Privacy and Security Computer Science-General Computer Science
CiteScore
5.20
自引率
0.00%
发文量
52
期刊介绍: ACM Transactions on Privacy and Security (TOPS) (formerly known as TISSEC) publishes high-quality research results in the fields of information and system security and privacy. Studies addressing all aspects of these fields are welcomed, ranging from technologies, to systems and applications, to the crafting of policies.
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