Characterizing the Landscape of COVID-19 Themed Cyberattacks and Defenses
| Autor: | Kristin M. Schweitzer, Raymond M. Bateman, Shouhuai Xu, Mir Mehedi Ahsan Pritom, Min Xu |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
050101 languages & linguistics Norm (philosophy) Computer Science - Cryptography and Security Coronavirus disease 2019 (COVID-19) Computer science 05 social sciences 02 engineering and technology Space (commercial competition) Computer security computer.software_genre Kill chain 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Global citizenship Cryptography and Security (cs.CR) computer |
| Zdroj: | 2020 IEEE International Conference on Intelligence and Security Informatics (ISI) |
| Popis: | COVID-19 (Coronavirus) hit the global society and economy with a big surprise. In particular, work-from-home has become a new norm for employees. Despite the fact that COVID-19 can equally attack innocent people and cybercriminals, it is ironic to see surges in cyberattacks leveraging COVID-19 as a theme, dubbed COVID-19 themed cyberattacks or COVID-19 attacks for short, which represent a new phenomenon that has yet to be systematically understood. In this paper, we make the first step towards fully characterizing the landscape of these attacks, including their sophistication via the Cyber Kill Chain model. We also explore the solution space of defenses against these attacks. 6 pages, 2 figures, manuscript published in 2020 IEEE International Conference on Intelligence and Security Informatics (ISI 2020) |
| Databáze: | OpenAIRE |
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