论文标题
基于行为的异常检测方法的隐私解释
Privacy Interpretation of Behavioural-based Anomaly Detection Approaches
论文作者
论文摘要
本文提出了“隐私 - 异常检测”的概念，并考虑了一个问题，即基于行为的异常检测方法是否可以具有隐私语义解释，以及检测到的异常是否与常规（正式的）（正式的）隐私语义定义有关，例如K-匿名性。这个想法是要从隐私方面学习用户过去的查询行为，然后确定与过去行为的偏差，以发现侵犯隐私行为。在本文中还考虑了基于SQL查询序列（查询相关性）的隐私攻击，违反正式隐私定义的行为，并且表明交互式查询设置很容易受到基于查询序列的隐私攻击的影响。调查这些类型的隐私攻击是否可能显现为异常，特别是进行了隐私异常。结果表明，在本文中，基于行为的异常检测方法具有基于查询序列（违反形式隐私定义）作为隐私异常的隐私攻击的潜力。
This paper proposes the notion of 'Privacy-Anomaly Detection' and considers the question of whether behavioural-based anomaly detection approaches can have a privacy semantic interpretation and whether the detected anomalies can be related to the conventional (formal) definitions of privacy semantics such as k-anonymity. The idea is to learn the user's past querying behaviour in terms of privacy and then identifying deviations from past behaviour in order to detect privacy violations. Privacy attacks, violations of formal privacy definition, based on a sequence of SQL queries (query correlations) are also considered in the paper and it is shown that interactive querying settings are vulnerable to privacy attacks based on query sequences. Investigation on whether these types of privacy attacks can potentially manifest themselves as anomalies, specifically as privacy-anomalies was carried out. It is shown that in this paper that behavioural-based anomaly detection approaches have the potential to detect privacy attacks based on query sequences (violation of formal privacy definition) as privacy-anomalies.
