A Visual Analytics Approach for User Behaviour Understanding through Action Sequence Analysis
A Visual Analytics Approach for User Behaviour Understanding through Action Sequence Analysis
复制标题
通过动作序列分析了解用户行为的可视化分析方法
DOI：
10.2312/eurova.20171122
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Olivier Thonnard
中科院分区：
文献类型：
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作者：
P. H. Nguyen;C. Turkay;G. Andrienko;N. Andrienko;Olivier Thonnard
对动作序列数据的分析为理解和建模用户行为提供了新的机会。这些数据通常以带有时间戳和标签的一系列原子用户操作的形式出现。网络安全是显示这些数据分析价值的领域之一。在调查网络威胁期间，需要详细和专门的用户行为模型来进行有效的决策。然而，由于其复杂性，活动序列尚未在网络安全系统中得到充分利用。在本文中，我们描述了视觉分析方法的初始阶段，其目的是通过分析用户活动序列来丰富对用户行为的理解。首先，我们讨论了一个激励性的案例研究，并讨论了一些高层次的要求，从一个正在进行的研究项目中的一系列研讨会。然后，我们提出了一个视觉分析方法的组成部分，构成了一个新的组合“动作空间”的分析，模式挖掘，和多个序列的交互式视觉分析，采取初步措施，全面了解用户行为。
Analysis of action sequence data provides new opportunities to understand and model user behaviour. Such data are often in the form of timestamped and labelled series of atomic user actions. Cyber security is one of the domains that show the value of the analysis of these data. Elaborate and specialised models of user-behaviour are desired for effective decision making during investigation of cyber threats. However, due to their complex nature, activity sequences are not yet well-exploited within cyber security systems. In this paper, we describe the initial phases of a visual analytics approach that aims to enable a rich understanding of user behaviour through the analysis of user activity sequences. First, we discuss a motivating case study and discuss a number of high level requirements as derived from a series of workshops within an ongoing research project. We then present the components of a visual analytics approach that constitutes a novel combination of ``action space'' analysis, pattern mining, and the interactive visual analysis of multiple sequences to take the initial steps towards a comprehensive understanding of user behaviour.