论文标题
PRIPEL：保护隐私事件日志发布，包括上下文信息
PRIPEL: Privacy-Preserving Event Log Publishing Including Contextual Information
论文作者
论文摘要
事件日志以执行活动及其执行上下文来捕获业务流程的执行。由于日志包含有关该过程中涉及的个人的潜在敏感信息，因此应在发布之前对其进行预处理，以保留个人的隐私。但是，此类预处理的现有技术仅限于过程的控制流，而忽略了上下文信息，例如属性值和持续时间。因此，这排除了涉及上下文因素的任何形式的过程分析。为了弥合这一差距，我们介绍了Pripel，Pripel是一个隐私感知事件日志发布的框架。与现有工作相比，Pripel的角度从根本上不同，并确保在单个情况层面而不是完整日志上确保隐私。这样，保留了上下文信息以及长时间的过程行为，从而实现了丰富的过程分析技术的应用。我们在使用现实世界事件日志的案例研究中证明了我们的框架的可行性。
Event logs capture the execution of business processes in terms of executed activities and their execution context. Since logs contain potentially sensitive information about the individuals involved in the process, they should be pre-processed before being published to preserve the individuals' privacy. However, existing techniques for such pre-processing are limited to a process' control-flow and neglect contextual information, such as attribute values and durations. This thus precludes any form of process analysis that involves contextual factors. To bridge this gap, we introduce PRIPEL, a framework for privacy-aware event log publishing. Compared to existing work, PRIPEL takes a fundamentally different angle and ensures privacy on the level of individual cases instead of the complete log. This way, contextual information as well as the long tail process behaviour are preserved, which enables the application of a rich set of process analysis techniques. We demonstrate the feasibility of our framework in a case study with a real-world event log.
