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Multi agent system approach for vulnerability analysis of online social network profiles over time

机译:多主体系统方法用于随着时间的推移对在线社交网络配置文件进行漏洞分析

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摘要

Nowadays, we witness a flood of continuously changing information from a variety of web sources. New challenges to track information changes in real time require new methods in web information retrieval using multi agent system (MAS) technology. This research continues previous work on extracting data from online social networks (OSNs) by using an agent in each user profile to monitor its updates, which are sent to a controller agent that saves a history of each user's activity in a local repository, as well as applying a vulnerability measure to users' profiles. An algorithm making use of MAS within the online social network retrieval system (OSNRS) is proposed. Our experiments on data extraction show that using MAS simplifies the process of tracking profile's history and opens the opportunity of understanding the dynamic behaviour of OSN users especially when it is combined with text mining. The application of the vulnerability measure over time highlighted that in the case of this experiment the structure of the node's network, rather than the contents of the node, changed over time. The validation of the vulnerability measure showed that friends of a profile, that disclose their personal details online, may not leak personal details about the profile.
机译:如今,我们目睹了来自各种Web来源的大量不断变化的信息。实时跟踪信息更改的新挑战要求使用多代理系统(MAS)技术的Web信息检索中采用新方法。这项研究继续了以前的工作,该工作是通过使用每个用户个人资料中的代理来监视其更新,从而从在线社交网络(OSN)提取数据,该更新被发送到控制器代理,该代理还将每个用户的活动历史记录保存在本地存储库中。作为对用户个人资料应用漏洞衡量的手段。提出了一种在在线社交网络检索系统(OSNRS)中利用MAS的算法。我们的数据提取实验表明,使用MAS可以简化跟踪配置文件历史记录的过程,并为了解OSN用户的动态行为(特别是将其与文本挖掘结合使用)提供了机会。漏洞度量的应用随着时间的推移而突出显示,在本实验的情况下,节点网络的结构(而不​​是节点的内容)随时间而变化。漏洞度量的验证表明,个人资料的朋友可以在线泄露其个人详细信息,而不会泄漏有关个人资料的个人详细信息。

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