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dc.contributor.authorAlzarqawee, Aws Naser Jaber
dc.contributor.authorFritsch, Lothar
dc.date.accessioned2022-10-31T10:41:59Z
dc.date.available2022-10-31T10:41:59Z
dc.date.created2022-02-04T11:29:57Z
dc.date.issued2022
dc.identifier.isbn978-1-6654-1197-4
dc.identifier.isbn978-1-6654-1198-1
dc.identifier.urihttps://hdl.handle.net/11250/3029084
dc.description.abstractThe World Health Organization's (WHO) coronavirus disease dashboard has recorded over 207 million confirmed infections and over 4 million deaths. There has been an increasing vulnerability in cybersecurity amongst businesses, gov- ernments and individuals worldwide because the COVID-19 pandemic has led to additional online activities. Accordingly, many people have turned to online work whilst the world is locked down. Thus, warnings have been issued by cybersecurity agencies that the number of cyber threat actors is increasing, and that they are improving in terms of stealing money, personal information and intellectual property. Opportunities for cybercrimes have increased, and COVID-19 is an effective lure. New methods for adverse artificial intelligence (AI)-empowered cyberattacks have been developed, or will be in the near future, using various weaponisations of AI under the COVID-19 umbrella. For this reason, this study reviewed and summarised how and when the most recent cyberattack trends can successfully exploit COVID-19 as a context for attack. Additionally, a summary of the state of knowledge of adverse AI is given, and its potential within the COVID-themed security threats, including defenses, is discussed.en_US
dc.description.sponsorshipOsloMet Artificial Intelligence Lab (Norway) provided full financial support.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartof25th International Computer Science and Engineering Conference (ICSEC)
dc.relation.ispartofseriesInternational Computer Science and Engineering Conference (ICSEC);2021 25th International Computer Science and Engineering Conference
dc.relation.urihttps://ieeexplore.ieee.org/abstract/document/9684603
dc.subjectComputer securityen_US
dc.subjectArtificial intelligenceen_US
dc.subjectCyberattacksen_US
dc.subjectCOVID-19en_US
dc.titleCOVID-19 and Global Increases in Cybersecurity Attacks: Review of Possible Adverse Artificial Intelligence Attacksen_US
dc.typeConference objecten_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1109/ICSEC53205.2021.9684603
dc.identifier.cristin1997739
dc.source.pagenumber9en_US
dc.relation.projectOsloMet - storbyuniversitetet: OsloMET AI Laben_US


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