Abstract
The assessment of perceived safeness and risk by persons is especially valuable for security and safety managing. Each person is founded on the opinion of other people to make a selection and the Internet embodies the place where these opinions are mostly pursued, taken, and estimated. From this point of view, social networks are characterized by a considerable influence. Due to this reason, Opinion Mining and Sentiment Analysis have found outstanding employs in diverse environments and one of the most remarkable is expressed by public security and safety. The purpose of the present work is to investigate the perception of safeness and risk of cybersecurity attacks during COVID-19 pandemic by means of the semantic analysis of the textual contents existing in Twitter.
Original language | English |
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Title of host publication | 2022 IEEE International Carnahan Conference on Security Technology (ICCST) |
Place of Publication | Valeč u Hrotovic, Czech Republic |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-6654-9363-5 |
ISBN (Print) | 978-1-6654-9364-2 |
DOIs | |
Publication status | Published - 9 Sept 2022 |
Event | 2022 IEEE International Carnahan Conference on Security Technology (ICCST) - Valec u Hrotovic, Czech Republic Duration: 7 Sept 2022 → 9 Sept 2022 https://ieeexplore.ieee.org/xpl/conhome/9896399/proceeding |
Conference
Conference | 2022 IEEE International Carnahan Conference on Security Technology (ICCST) |
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Abbreviated title | ICCST 2022 |
Country/Territory | Czech Republic |
City | Valec u Hrotovic |
Period | 7/09/22 → 9/09/22 |
Internet address |
Keywords
- COVID-19 pandemic
- OSINT
- Open-Source Intelligent Techniques for security & safety
- Perceived risk assessment for security & safety
- cybersecurity
- opinion mining for security & safety
- sentiment analysis for security & safety