论文标题
部分可观测时空混沌系统的无模型预测
Perspectives of Non-Expert Users on Cyber Security and Privacy: An Analysis of Online Discussions on Twitter
论文作者
论文摘要
当前对用户对与传统和智能设备有关的网络安全和隐私视角的研究非常活跃，但是在家庭环境中，重点通常更多地放在特定的现代设备（例如移动和智能物联网设备）上。此外，大多数基于较小规模的实证研究，例如在线调查和访谈。我们努力通过基于非专家用户在Twitter上发布的413,985条推文的现实数据集进行了大规模研究，该研究在连续三年的六个月内发布（2019年，2020年和2021年））。开发了两个基于机器的基于机器的分类器，以识别413,985条推文。我们分析了该数据集，以了解非专家用户的网络安全和隐私观点，包括年度趋势以及COVID-19大流行的影响。我们对数据集中选定的推文进行了主题建模，情感分析和定性分析，从而导致各种有趣的发现。例如，与全球COVID-19锁定开始之前（2019年1月至2020年2月）相比，我们观察到非专家用户在网络安全性和/或隐私相关的主题上的推文增加了54％。我们还观察到在Covid-19大流行期间，寻求帮助的推文的水平提高。我们的分析揭示了非专家用户在这三年中讨论的各种主题，包括VPN，Wi-Fi，智能手机，笔记本电脑，智能家居设备，财务安全以及涉及不同利益相关者的安全和隐私问题。在这三年中，在Twitter上讨论的几乎所有主题中都观察到了总体负面情绪。我们的结果证实了非专家用户对网络安全和隐私的观点的多面性质，并呼吁对此类观点的不同方面进行更全面，全面和细微的研究。
Current research on users` perspectives of cyber security and privacy related to traditional and smart devices at home is very active, but the focus is often more on specific modern devices such as mobile and smart IoT devices in a home context. In addition, most were based on smaller-scale empirical studies such as online surveys and interviews. We endeavour to fill these research gaps by conducting a larger-scale study based on a real-world dataset of 413,985 tweets posted by non-expert users on Twitter in six months of three consecutive years (January and February in 2019, 2020 and 2021). Two machine learning-based classifiers were developed to identify the 413,985 tweets. We analysed this dataset to understand non-expert users` cyber security and privacy perspectives, including the yearly trend and the impact of the COVID-19 pandemic. We applied topic modelling, sentiment analysis and qualitative analysis of selected tweets in the dataset, leading to various interesting findings. For instance, we observed a 54% increase in non-expert users` tweets on cyber security and/or privacy related topics in 2021, compared to before the start of global COVID-19 lockdowns (January 2019 to February 2020). We also observed an increased level of help-seeking tweets during the COVID-19 pandemic. Our analysis revealed a diverse range of topics discussed by non-expert users across the three years, including VPNs, Wi-Fi, smartphones, laptops, smart home devices, financial security, and security and privacy issues involving different stakeholders. Overall negative sentiment was observed across almost all topics non-expert users discussed on Twitter in all the three years. Our results confirm the multi-faceted nature of non-expert users` perspectives on cyber security and privacy and call for more holistic, comprehensive and nuanced research on different facets of such perspectives.
