论文标题

在大流行期间不要成为受害者!在Covid-19期间的Twitter中分析安全性和隐私威胁

Don't be a Victim During a Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19

论文作者

Sharma, Bibhas, Karunanayake, Ishan, Masood, Rahat, Ikram, Muhammad

论文摘要

在COVID-19锁定期间,社交媒体平台的使用情况有很大的激增。这些锁定时期导致了一系列新的网络犯罪,从而使攻击者能够受到各种威胁的社交媒体用户的伤害。本文进行了一项大规模研究,以研究大流行的影响以及锁定时期对社交媒体用户的安全性和隐私性的影响。我们分析了从533天的数据爬行中分析了160万个与共同相关的推文,并在三个不同的时期(即锁定之前,期间和之后)调查了用户的安全性和隐私行为。我们的研究表明,用户在撰写有关大流行状况(例如,在附近的冠状病毒测试地点共享)时,无意中共享更多的个人身份信息。如果用户发布有关大流行的三个或更多敏感推文,则隐私风险将达到100%。我们研究了大流行阶段在社交媒体上共享的可疑领域的数量。我们的分析表明,与其他锁定阶段相比,锁定过程中可疑域的数量有所增加。我们观察到它,搜索引擎和企业是包含可疑域的前三类。我们的分析表明,对手的策略策略随着该国的大流行状况而改变。

There has been a huge spike in the usage of social media platforms during the COVID-19 lockdowns. These lockdown periods have resulted in a set of new cybercrimes, thereby allowing attackers to victimise social media users with a range of threats. This paper performs a large-scale study to investigate the impact of a pandemic and the lockdown periods on the security and privacy of social media users. We analyse 10.6 Million COVID-related tweets from 533 days of data crawling and investigate users' security and privacy behaviour in three different periods (i.e., before, during, and after the lockdown). Our study shows that users unintentionally share more personal identifiable information when writing about the pandemic situation (e.g., sharing nearby coronavirus testing locations) in their tweets. The privacy risk reaches 100% if a user posts three or more sensitive tweets about the pandemic. We investigate the number of suspicious domains shared on social media during different phases of the pandemic. Our analysis reveals an increase in the number of suspicious domains during the lockdown compared to other lockdown phases. We observe that IT, Search Engines, and Businesses are the top three categories that contain suspicious domains. Our analysis reveals that adversaries' strategies to instigate malicious activities change with the country's pandemic situation.

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