ABSTRACT

The present study aimed to analyse the main risks related to security and privacy of social networks based information systems in Industry 4.0. The methodology we used is an innovative exploratory data-driven process divided into three steps. First, we performed sentiment analysis to divide the database composed of 67, 206 tweets into feelings. Second, we applied a topic-modelling algorithm to extract topics. Third, we applied textual analysis to collect insights. A total of 10 topics related to security and privacy issues were identified as results. The paper concludes with a discussion of the challenges and main concerns related to the identified topics.

摘要

本研究旨在分析与工业 4.0 中基于社交网络的信息系统的安全和隐私相关的主要风险。我们使用的方法是一种创新的探索性数据驱动过程，分为三个步骤。首先，我们进行情感分析，将由 67、206 条推文组成的数据库划分为情感。其次，我们应用了主题建模算法来提取主题。第三，我们应用文本分析来收集见解。共有 10 个与安全和隐私问题相关的主题被确定为结果。本文最后讨论了与已确定主题相关的挑战和主要问题。