Exploring the global geography of cybercrime and its driving forces
Abstract Cybercrime is wreaking havoc on the global economy, national security, social stability, and individual interests. The current efforts to mitigate cybercrime threats are primarily focused on technical measures. This study considers cybercrime as a social phenomenon and constructs a theoreti...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2023-02-01
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| Series: | Humanities & Social Sciences Communications |
| Online Access: | https://doi.org/10.1057/s41599-023-01560-x |
| _version_ | 1797865236192034816 |
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| author | Shuai Chen Mengmeng Hao Fangyu Ding Dong Jiang Jiping Dong Shize Zhang Qiquan Guo Chundong Gao |
| author_facet | Shuai Chen Mengmeng Hao Fangyu Ding Dong Jiang Jiping Dong Shize Zhang Qiquan Guo Chundong Gao |
| author_sort | Shuai Chen |
| collection | DOAJ |
| description | Abstract Cybercrime is wreaking havoc on the global economy, national security, social stability, and individual interests. The current efforts to mitigate cybercrime threats are primarily focused on technical measures. This study considers cybercrime as a social phenomenon and constructs a theoretical framework that integrates the social, economic, political, technological, and cybersecurity factors that influence cybercrime. The FireHOL IP blocklist, a novel cybersecurity data set, is used to map worldwide subnational cybercrimes. Generalised linear models (GLMs) are used to identify the primary factors influencing cybercrime, whereas structural equation modelling (SEM) is used to estimate the direct and indirect effects of various factors on cybercrime. The GLM results suggest that the inclusion of a broad set of socioeconomic factors can significantly improve the model’s explanatory power, and cybercrime is closely associated with socioeconomic development, while their effects on cybercrime differ by income level. Additionally, results from SEM further reveals the causal relationships between cybercrime and numerous contextual factors, demonstrating that technological factors serve as a mediator between socioeconomic conditions and cybercrime. |
| first_indexed | 2024-04-09T23:04:48Z |
| format | Article |
| id | doaj.art-0a83216816ac435e87c71d6a63a3dc35 |
| institution | Directory Open Access Journal |
| issn | 2662-9992 |
| language | English |
| last_indexed | 2024-04-09T23:04:48Z |
| publishDate | 2023-02-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Humanities & Social Sciences Communications |
| spelling | doaj.art-0a83216816ac435e87c71d6a63a3dc352023-03-22T10:43:10ZengSpringer NatureHumanities & Social Sciences Communications2662-99922023-02-0110111010.1057/s41599-023-01560-xExploring the global geography of cybercrime and its driving forcesShuai Chen0Mengmeng Hao1Fangyu Ding2Dong Jiang3Jiping Dong4Shize Zhang5Qiquan Guo6Chundong Gao7Institute of Geographic Sciences and Nature Resources Research, Chinese Academy of SciencesInstitute of Geographic Sciences and Nature Resources Research, Chinese Academy of SciencesInstitute of Geographic Sciences and Nature Resources Research, Chinese Academy of SciencesInstitute of Geographic Sciences and Nature Resources Research, Chinese Academy of SciencesInstitute of Geographic Sciences and Nature Resources Research, Chinese Academy of SciencesBig Data Center of State Grid Corporation of ChinaInstitute of Geographic Sciences and Nature Resources Research, Chinese Academy of SciencesThe Administrative Bureau of Chinese Academy of SciencesAbstract Cybercrime is wreaking havoc on the global economy, national security, social stability, and individual interests. The current efforts to mitigate cybercrime threats are primarily focused on technical measures. This study considers cybercrime as a social phenomenon and constructs a theoretical framework that integrates the social, economic, political, technological, and cybersecurity factors that influence cybercrime. The FireHOL IP blocklist, a novel cybersecurity data set, is used to map worldwide subnational cybercrimes. Generalised linear models (GLMs) are used to identify the primary factors influencing cybercrime, whereas structural equation modelling (SEM) is used to estimate the direct and indirect effects of various factors on cybercrime. The GLM results suggest that the inclusion of a broad set of socioeconomic factors can significantly improve the model’s explanatory power, and cybercrime is closely associated with socioeconomic development, while their effects on cybercrime differ by income level. Additionally, results from SEM further reveals the causal relationships between cybercrime and numerous contextual factors, demonstrating that technological factors serve as a mediator between socioeconomic conditions and cybercrime.https://doi.org/10.1057/s41599-023-01560-x |
| spellingShingle | Shuai Chen Mengmeng Hao Fangyu Ding Dong Jiang Jiping Dong Shize Zhang Qiquan Guo Chundong Gao Exploring the global geography of cybercrime and its driving forces Humanities & Social Sciences Communications |
| title | Exploring the global geography of cybercrime and its driving forces |
| title_full | Exploring the global geography of cybercrime and its driving forces |
| title_fullStr | Exploring the global geography of cybercrime and its driving forces |
| title_full_unstemmed | Exploring the global geography of cybercrime and its driving forces |
| title_short | Exploring the global geography of cybercrime and its driving forces |
| title_sort | exploring the global geography of cybercrime and its driving forces |
| url | https://doi.org/10.1057/s41599-023-01560-x |
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