{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T19:05:24Z","timestamp":1763147124335,"version":"3.45.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3629338","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:41:15Z","timestamp":1762368075000},"page":"191406-191414","source":"Crossref","is-referenced-by-count":0,"title":["Malware Detection Using Cuckoo Sandbox Report Features as Human Readable Description and the BERT Model"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5336-7913","authenticated-orcid":false,"given":"Oussama El","family":"Rhayati","sequence":"first","affiliation":[{"name":"Department of Informatics, Faculty of Sciences Dhar El Mahraz, Informatique, Innovation et Intelligence Artificielle Laboratory, Sidi Mohamed Ben Abdellah University, Fes, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar","family":"El Beqqali","sequence":"additional","affiliation":[{"name":"Department of Informatics, Faculty of Sciences Dhar El Mahraz, Informatique, Innovation et Intelligence Artificielle Laboratory, Sidi Mohamed Ben Abdellah University, Fes, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamid","family":"Tairi","sequence":"additional","affiliation":[{"name":"Department of Informatics, Faculty of Sciences Dhar El Mahraz, Informatique, Innovation et Intelligence Artificielle Laboratory, Sidi Mohamed Ben Abdellah University, Fes, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed","family":"Lamrini","sequence":"additional","affiliation":[{"name":"Department of Informatics, Faculty of Sciences Dhar El Mahraz, Informatique, Innovation et Intelligence Artificielle Laboratory, Sidi Mohamed Ben Abdellah University, Fes, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jamal","family":"Riffi","sequence":"additional","affiliation":[{"name":"Department of Informatics, Faculty of Sciences Dhar El Mahraz, Informatique, Innovation et Intelligence Artificielle Laboratory, Sidi Mohamed Ben Abdellah University, Fes, Morocco"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"3283","article-title":"A hybrid approach for malware detection using machine learning and behavior analysis","volume":"18","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Inf. Forensics Security"},{"issue":"4","key":"ref2","first-page":"400","article-title":"Enhancing malware detection with machine learning: A comparative study","volume":"21","author":"Smith","year":"2022","journal-title":"Int. J. Comput. Secur."},{"issue":"1","key":"ref3","first-page":"95","article-title":"Machine learning approaches in malware detection: Successes and challenges","volume":"22","author":"Johnson","year":"2023","journal-title":"J. Netw. Defense"},{"issue":"3","key":"ref4","first-page":"230","article-title":"Behavior-based malware detection: Techniques and applications","volume":"18","author":"Chen","year":"2022","journal-title":"Cybersecurity Technol. Rev."},{"issue":"7","key":"ref5","first-page":"865","article-title":"Advanced behavioral analysis for malware detection","volume":"19","author":"Anderson","year":"2021","journal-title":"Secur. Commun. Netw."},{"issue":"6","key":"ref6","first-page":"620","article-title":"Efficient malware detection using behavioral patterns","volume":"17","author":"Bailey","year":"2022","journal-title":"J. Appl. Secur. Res."},{"issue":"4","key":"ref7","first-page":"458","article-title":"A comprehensive review of hybrid malware detection systems","volume":"19","author":"Li","year":"2022","journal-title":"Comput. Secur."},{"issue":"1","key":"ref8","first-page":"1","article-title":"A hybrid machine learning and behavior-based approach for malware detection","volume":"18","author":"Li","year":"2022","journal-title":"J. Comput. Virol. Secur."},{"article-title":"Avast\u2014CTU public CAPEv2 malware dataset","year":"2023","author":"Smutn","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref11","article-title":"DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter","author":"Sanh","year":"2019","journal-title":"arXiv:1910.01108"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.372"},{"key":"ref13","article-title":"Deep adversarial malware detection: A survey of evasion techniques and countermeasures","volume":"127","author":"Kumar","year":"2023","journal-title":"Comput. Secur."},{"issue":"2","key":"ref14","first-page":"150","article-title":"Simplifying the integration of machine learning and behavioral analysis for effective malware detection","volume":"10","author":"Kim","year":"2022","journal-title":"Secur. Privacy"},{"issue":"1","key":"ref15","first-page":"34","article-title":"Streamlining hybrid malware detection systems for real-time applications","volume":"24","author":"Santos","year":"2023","journal-title":"J. Real-Time Syst. Secur."},{"issue":"1","key":"ref16","first-page":"59","article-title":"Adaptive machine learning for malware detection","volume":"4","author":"Menahem","year":"2018","journal-title":"J. Cybersecurity"},{"issue":"2","key":"ref17","first-page":"431","article-title":"Convolutional neural networks for malware classification","volume":"14","author":"Liu","year":"2019","journal-title":"IEEE Trans. Inf. Forensics Security"},{"issue":"1","key":"ref18","first-page":"17","article-title":"Information theoretic approaches to malware detection","volume":"30","author":"Pierce","year":"2022","journal-title":"J. Comput. Secur."},{"issue":"1","key":"ref19","first-page":"1","article-title":"Side-channel signals for malware detection","volume":"31","author":"Demme","year":"2022","journal-title":"J. Cybersecurity"},{"issue":"2","key":"ref20","first-page":"221","article-title":"Machine learning techniques in malware detection: A survey","volume":"45","author":"Shabtai","year":"2022","journal-title":"Comput. Surv."},{"issue":"1","key":"ref21","first-page":"1","article-title":"Hybrid analysis for malware classification","volume":"32","author":"Ahmadi","year":"2023","journal-title":"J. Cybersecurity"},{"issue":"1","key":"ref22","first-page":"22","article-title":"Deep learning in large-scale malware detection","volume":"21","author":"Saxe","year":"2023","journal-title":"IEEE Secur. Privacy"},{"issue":"1","key":"ref23","first-page":"10","article-title":"Machine learning for Android malware detection","volume":"27","author":"Alsharafat","year":"2023","journal-title":"Mobile Comput. Commun. Rev."},{"issue":"2","key":"ref24","first-page":"16","article-title":"Hybrid text classification and machine learning for malware detection","volume":"31","author":"Altaf","year":"2022","journal-title":"J. Cybersecurity"},{"key":"ref25","first-page":"304","article-title":"Unsupervised learning for malware classification","volume":"542","author":"Khan","year":"2020","journal-title":"Inf. Sci."},{"issue":"1","key":"ref26","first-page":"27","article-title":"Reinforcement learning for adaptive malware detection","volume":"2","author":"Xu","year":"2019","journal-title":"Cybersecurity"},{"issue":"2","key":"ref27","first-page":"150","article-title":"Ensemble methods for improved malware detection","volume":"29","author":"Sundaramurthy","year":"2020","journal-title":"J. Cybersecurity"},{"key":"ref28","first-page":"1","article-title":"Anomaly-based malware detection techniques: A survey","volume":"2018","author":"Patel","year":"2018","journal-title":"Secur. Commun. Netw."},{"key":"ref29","first-page":"1","article-title":"Natural language processing for malware analysis","volume":"85","author":"Smith","year":"2019","journal-title":"Comput. Secur."},{"issue":"1","key":"ref30","first-page":"109","article-title":"Graph neural networks for malware detection","volume":"22","author":"Johnson","year":"2021","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","first-page":"102","article-title":"Sequential malware analysis with LSTM networks","volume":"52","author":"Choi","year":"2020","journal-title":"J. Inf. Secur. Appl."},{"issue":"1","key":"ref32","first-page":"18","article-title":"Feature selection in machine learning-based malware detection","volume":"13","author":"Harper","year":"2021","journal-title":"Future Internet"},{"key":"ref33","first-page":"99316","article-title":"Blockchain for secure and efficient malware detection","volume":"7","author":"Wang","year":"2019","journal-title":"IEEE Access"},{"issue":"4","key":"ref34","first-page":"1","article-title":"Federated learning for malware detection","volume":"53","author":"Brown","year":"2020","journal-title":"ACM Comput. Surv."},{"issue":"4","key":"ref35","first-page":"409","article-title":"Transfer learning in malware classification","volume":"30","author":"Thompson","year":"2021","journal-title":"J. Cybersecurity"},{"issue":"1","key":"ref36","first-page":"35","article-title":"Machine learning-based malware detection for Android applications","volume":"20","author":"Dixit","year":"2022","journal-title":"Secur. Privacy"},{"key":"ref37","first-page":"102","article-title":"A deep learning approach for malware detection in windows PE files","volume":"108","author":"Gibert","year":"2021","journal-title":"Comput. Secur."},{"key":"ref38","first-page":"1","article-title":"Transformer-based adversarial robust malware detection","volume":"12","author":"Zhang","year":"2024","journal-title":"IEEE Access"},{"key":"ref39","article-title":"Fast lightweight NLP for malware analysis on edge devices","volume":"130","author":"He","year":"2024","journal-title":"Comput. Secur."},{"issue":"5","key":"ref40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3584944","article-title":"Deep learning models against zero-day malware: Challenges and advances","volume":"56","author":"Kumar","year":"2023","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"ref41","article-title":"NLP-based malware classification: A comprehensive surve","volume":"9","author":"Li","year":"2023","journal-title":"J. Cybersecurity"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11226989.pdf?arnumber=11226989","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:51:17Z","timestamp":1763146277000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11226989\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3629338","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}