[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-121704-en":3,"doc-seo-121704-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},121704,549758146520,"Patrick","https://ap-avatar.wpscdn.com/avatar/80002397d8c0411e94?_k=1775819394049821470",8,"Research & Report","Cybersecurity Resilience in SMEs - A Machine Learning Approach","Cybersecurity resilience in small and medium-sized enterprises (SMEs) is investigated through three dimensions: incident handling capacity, recovery ability, and adaptation to evolving cyber threats. Using the Resource-Based View (RBV) as the foundation, the study analyzes survey data from 239 UK SMEs. Findings emphasize the limited involvement of SMEs in cybersecurity management, and show cybersecurity incidents as a stronger driver of resilience than cybersecurity capabilities, while also highlighting capability interactions. Statistical and machine learning methods are applied to identify relationships among influencing factors.","Journal of Computer Information Systems  \nISSN: (Print) (Online) Journal homepage: [https://www.tandfonline.com/loi/ucis20](https://www.tandfonline.com/loi/ucis20)  \nCybersecurity Resilience in SMEs . A Machine Learning Approach  \nJuan Carlos Fernandez de Arroyabe, Marta F. Arroyabe, Ignacio Fernandez & Carlos F. A. Arranz  \nTo cite this article: Juan Carlos Fernandez de Arroyabe, Marta F. Arroyabe, Ignacio Fernandez & Carlos F. A. Arranz (01 Sep 2023): Cybersecurity Resilience in SMEs. A Machine Learning Approach, Journal of Computer Information Systems, DOI: 10.1080/08874417.2023.2248925  \nTo link to this article: [https://doi.org/10.1080/08874417.2023.2248925](https://doi.org/10.1080/08874417.2023.2248925)  \n© 2023 The Author(s) . Published with license by Taylor & Francis Group, LLC.  \n\n|  Published online: 01 Sep 2023. |\n| --- |\n|  Submit your article to this journal  |\n|  Article views: 325 |\n|  View related articles  |\n|  View Crossmark data |\n\nFull Terms & Conditions of access and use can be found at [https://www.tandfonline.com/action/journalInformation?journalCode=ucis20](https://www.tandfonline.com/action/journalInformation?journalCode=ucis20)  \nJOURNAL OF COMPUTER INFORMATION SYSTEMS [https://doi.org/10.1080/08874417.2023.2248925](https://doi.org/10.1080/08874417.2023.2248925)  \nCybersecurity Resilience in SMEs. A Machine Learning Approach  \nJuan Carlos Fernandez de Arroyabea, Marta F. Arroyabea, Ignacio Fernandezb, and Carlos F. A. Arranzca University of Essex, Colchester, UK; bLoughborough University, Loughborough, UK; cUniversity of Greenwich, London, UK  \nABSTRACT  \nThis study investigates cybersecurity resilience in small and medium-sized enterprises (SMEs), focusing on three key aspects: the capacity to handle potential cyber incidents, the ability to recover from such incidents, and the capability to adapt in the face of possible cyber threats. Grounded in the Resource-Based View (RBV) framework, we conduct an empirical investigation utilizing a survey of 239 UK SMEs. The study makes a theoretical and methodological contribution, with significant implications for managers. First, the study highlights the lack of SMEs’ engagement with the management of cybersecurity and finds cybersecurity incidents to be the most important factor in driving resilience, as compared to cybersecurity capabilities. Moreover, the study also extends the RBV theory, emphasizing the importance of the interaction between cybersecurity capabilities affecting SMEs’ cybersecurity resilience. Second, the study showcases the potential of statistical methods, particularly machine learning techniques to identify the relationships between the factors affecting SMEs’ cybersecurity.  \nKEYWORDS  \nCybersecurity; resilience; SMEs; cybersecurity incidents; cybersecurity impacts; cybersecurity systems  \nIntroduction  \nCybersecurity is emerging as a critical capability for organizational survival and growth. 1–4 Caldwell5 and Choo6 point out that companies are exposed to cybersecurity incidents, considering both the potential risks of the internet, electronic commerce, the digitalization of companies, and the use of Internet of Things (IoT) . The connected nature of enterprises means that firms’information systems (IS) connect to the network, and can be a potential source of attacks, which can affect theoperability and resilience of enterprises.7–9 For example, the implementation of digital technologies such as big data implies the storage of information, which can potentially be stolen.10 The incorporation of industrial robots connected to the Industrial Internet of Things (IIoT), or the use of smart devices, can be subject to potential attacks, for example, tampering attacks, which impact the integrity of systems or applications, or denial of service (DoS), which impacts the availability of systems and applications.1, 11 In general, firms are exposed to attacks such as spyware, malware, DoS, ransomware or phishing among others, and the devices of ","cbCaijIjBZpMsVtv","https://ap.wps.com/l/cbCaijIjBZpMsVtv","pdf",4588281,1,18,"English","en",105,"# Introduction\n## Research gaps and study focus\n# Key concepts and context\n## Cybersecurity as a survival capability\n## SMEs challenges versus large firms","[{\"question\":\"What dimensions of cybersecurity resilience are studied for SMEs?\",\"answer\":\"The study focuses on the capacity to handle potential cyber incidents, the ability to recover from them, and the capability to adapt to possible cyber threats.\"},{\"question\":\"How is the research framework and data source structured?\",\"answer\":\"The analysis is grounded in the Resource-Based View (RBV) framework and uses survey data collected from 239 UK SMEs.\"},{\"question\":\"What do the results indicate about what drives SME resilience?\",\"answer\":\"The study finds that many SMEs engage insufficiently in cybersecurity management, and that cybersecurity incidents are the most important factor driving resilience compared with cybersecurity capabilities.\"}]","Cybersecurity Resilience in SMEs - 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