يعرض 1 - 20 نتائج من 62 نتيجة بحث عن '"Choo, K.-K.R."', وقت الاستعلام: 0.66s تنقيح النتائج
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    Academic Journal

    مصطلحات موضوعية: School of Computing and Mathematical Sciences

    وصف الملف: text

    Relation: https://eprints.bbk.ac.uk/id/eprint/54402/1/Artificial_Intelligence-Based_Cybersecurity_for_the_Metaverse_Research_Challenges_and_Opportunities.pdf; Awadallah, A. and Eledlebi, K. and Zemerly, J. and Puthal, P. and Damiani, E. and Taha, K. and Kim, T.-Y. and Yoo, Paul and Choo, K.-K.R. and Yim, M.-S. and Yeun, C.Y. (2024) Artificial Intelligence-based cybersecurity for the Metaverse: research challenges and opportunities. IEEE Communications Surveys & Tutorials , ISSN 1553-877X.

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    Academic Journal
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    المؤلفون: Choo, K. K.R., Yan, Z., Meng, W.

    المساهمون: University of Texas at San Antonio, Network Security and Trust, Danmarks Tekniske Universitet, Department of Communications and Networking, Aalto-yliopisto, Aalto University

    وصف الملف: application/pdf

    Relation: IEEE Transactions on Industrial Informatics; Volume 16, issue 6; Choo , K K R , Yan , Z & Meng , W 2020 , ' Editorial: Blockchain in Industrial IoT Applications: Security and Privacy Advances, Challenges, and Opportunities ' , IEEE Transactions on Industrial Informatics , vol. 16 , no. 6 , 8957273 , pp. 4119-4121 . https://doi.org/10.1109/TII.2020.2966068; PURE UUID: e60ec5b7-d0bb-4e0b-9269-a9a15be507ed; PURE ITEMURL: https://research.aalto.fi/en/publications/e60ec5b7-d0bb-4e0b-9269-a9a15be507ed; PURE LINK: http://www.scopus.com/inward/record.url?scp=85082014624&partnerID=8YFLogxK; PURE FILEURL: https://research.aalto.fi/files/43715350/Choo_Blockchain_in_industrial_IoT.pdf; https://aaltodoc.aalto.fi/handle/123456789/45233; URN:NBN:fi:aalto-202006254190

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    Academic Journal

    وصف الملف: text

    Relation: https://eprints.whiterose.ac.uk/128367/7/10.1007%252Fs12652-017-0558-5.pdf; Azmoodeh, A., Dehghantanha, A. orcid.org/0000-0002-9294-7554 , Conti, M. et al. (1 more author) (2018) Detecting crypto-ransomware in IoT networks based on energy consumption footprint. Journal of Ambient Intelligence and Humanized Computing, 9 (4). pp. 1141-1152. ISSN 1868-5137

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    Academic Journal

    وصف الملف: text

    Relation: https://eprints.whiterose.ac.uk/128371/7/10.1007%252Fs11416-017-0307-5.pdf; Pajouh, H.H., Dehghantanha, A. orcid.org/0000-0002-9294-7554 , Khayami, R. et al. (1 more author) (2018) Intelligent OS X malware threat detection with code inspection. Journal of Computer Virology and Hacking Techniques, 14 (3). pp. 213-223. ISSN 2274-2042

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    Academic Journal

    وصف الملف: text

    Relation: https://eprints.whiterose.ac.uk/128366/1/MalwareAnalysis.pdf; Milosevic, N., Dehghantanha, A. and Choo, K.-K.R. (2017) Machine learning aided Android malware classification. Computers & Electrical Engineering, 61. pp. 266-274. ISSN 0045-7906

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    المساهمون: Choo, K.-K.R., Dehghantanha, A.

    Relation: Ogazi-Onyemaechi, B.C., Dehghantanha, A. and Choo, K.-K.R. (2017) Performance of android forensics data recovery tools. In: Choo, K.-K.R. and Dehghantanha, A., (eds.) Contemporary Digital Forensic Investigations of Cloud and Mobile Applications. Syngress , pp. 91-110. ISBN 9780128053034

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    Book

    المساهمون: Choo, K.-K.R., Dehghantanha, A.

    Relation: Mohtasebi, S., Dehghantanha, A. and Choo, K.-K.R. (2017) Cloud storage forensics: analysis of data remnants on SpiderOak, JustCloud, and pCloud. In: Choo, K.-K.R. and Dehghantanha, A., (eds.) Contemporary Digital Forensic Investigations of Cloud and Mobile Applications. Elsevier , pp. 205-246. ISBN 978-0-12-805303-4

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    Academic Journal

    المصدر: Homayoun , S , Dehghantanha , A , Ahmadzadeh , M , Hashemi , S , Khayami , R , Choo , K-KR & Newton , D E 2019 , ' DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer ' , Future Generation Computer Systems . https://doi.org/10.1016/j.future.2018.07.045

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    Academic Journal

    وصف الملف: text

    Relation: https://eprints.whiterose.ac.uk/128429/1/Internet%20Of%20Thing%20Malware%20Detection%20Based%20on%20Deep%20Eigenspace%20Learning.pdf; Dehghantanha, A., Azmoodeh , A. and Choo, K.-K.R. (2019) Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning. IEEE Transactions on Sustainable Computing, 4 (1). pp. 88-95. ISSN 2377-3782

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