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Information security report. [cited 2025 Aug 1]. Available from: https:\/\/www.hitachi.com\/sustainability\/download\/pdf\/securityreport.pdf."},{"key":"ref7","unstructured":"George G, Keith W. Q4 2024 cyber threat landscape: gone phishing. evolving techniques keep organizations on the hook. Cyber threat intelligence reports. New York, NY, USA: Kroll Corporation. [cited 2025 Aug 1]. Available from: https:\/\/www.kroll.com\/en\/insights\/publications\/cyber\/threat-intelligence-reports."},{"key":"ref8","unstructured":"Rob S. 157 cybersecurity statistics and trends. New York, NY, USA: Varonis Corporation. [cited 2025 Aug 1]. Available from: https:\/\/www.varonis.com\/blog\/cybersecurity-statistics."},{"key":"ref9","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/JPROC.2020.3004555","article-title":"A comprehensive survey on transfer learning","volume":"109","author":"Zhuang","year":"2021","journal-title":"Proc IEEE"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"103760","DOI":"10.1016\/j.jnca.2023.103760","article-title":"Deep transfer learning for intrusion detection in industrial control networks: a comprehensive review","volume":"220","author":"Kheddar","year":"2023","journal-title":"J Netw Comput Appl"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"40","DOI":"10.3390\/technologies11020040","article-title":"A review of deep transfer learning and recent advancements","volume":"11","author":"Iman","year":"2023","journal-title":"Technologies"},{"key":"ref12","series-title":"27th International Conference on Artificial Neural Networks; 2018 Oct 4\u20137","first-page":"270","article-title":"A survey on deep transfer learning","author":"Tan"},{"key":"ref13","series-title":"Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence; 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[cited 2025 Aug 1]. Available from: https:\/\/research.unsw.edu.au\/projects\/bot-iot-dataset."},{"key":"ref36","unstructured":"Keylogger detection. Dataset. [cited 2025 Aug 1]. 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