2023
DOI: 10.1016/j.cose.2023.103158
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The development of phishing during the COVID-19 pandemic: An analysis of over 1100 targeted domains

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Cited by 12 publications
(4 citation statements)
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“…Scholars agreed on the decline of certain property crimes, like robbery, theft and burglary ( Lopez and Rosenfeld, 2021 ; Perez-Vincent et al, 2021 ; Regalado et al, 2022 ), but the literature results showed heterogeneous results if violent crimes were considered: some authors founded not significant changes in violent behaviors ( Lopez and Rosenfeld, 2021 ; Perez-Vincent et al, 2021 ), or a decline in homicides ( Liu et al, 2022 ), other scholars provided evidence that during the pandemic this kind of crimes increased its rate ( Meyer et al, 2022 ; Regalado et al, 2022 ). Domestic violence ( Piquero et al, 2021 ; Kourti et al, 2023 ; McNeil et al, 2023 ) and cybercrime proliferated significantly during the pandemic ( Kemp et al, 2021 ; Hoheisel et al, 2023 ).…”
Section: Discussionmentioning
confidence: 99%
“…Scholars agreed on the decline of certain property crimes, like robbery, theft and burglary ( Lopez and Rosenfeld, 2021 ; Perez-Vincent et al, 2021 ; Regalado et al, 2022 ), but the literature results showed heterogeneous results if violent crimes were considered: some authors founded not significant changes in violent behaviors ( Lopez and Rosenfeld, 2021 ; Perez-Vincent et al, 2021 ), or a decline in homicides ( Liu et al, 2022 ), other scholars provided evidence that during the pandemic this kind of crimes increased its rate ( Meyer et al, 2022 ; Regalado et al, 2022 ). Domestic violence ( Piquero et al, 2021 ; Kourti et al, 2023 ; McNeil et al, 2023 ) and cybercrime proliferated significantly during the pandemic ( Kemp et al, 2021 ; Hoheisel et al, 2023 ).…”
Section: Discussionmentioning
confidence: 99%
“…The revision also displays that service laws, such as employment protection laws and minimum wage laws can have a helpful influence on plummeting crime. Similarly to Hoheisel, van Capelleveen, Sarmah, and Junger (2023) inspect the association between employment law as well as fraud. The conclusions propose that service laws, such as whistleblowing and antidiscrimination defenses, can discourage fraud by authorizing teams to echo misbehavior.…”
Section: Employment Law and Workplace Crimementioning
confidence: 99%
“…Machine learning (ML) emerges as a formidable contender in phishing detection, leveraging diverse website features for classification, thereby potentially identifying new phishing sites not yet blacklisted [16]. However, the impressive evaluations showcasing high accuracy (99.6%) and precision (99.2%) using large, balanced datasets [17] [12], often lack real-world dataset validation, potentially underestimating the true scope of phishing activities [18]. Criticisms against these evaluations highlight their potential lack of representation of evolving phishing trends.…”
Section: Related Workmentioning
confidence: 99%