Dr. Yousra Abdul Alsahib S.Aldeen
Lecturer, DoctorBaghdad University, Iraq
Highest Degree
Ph.D. in Computing from University of Technology, Malaysia
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Baghdad University, Iraq
Biography
Dr. Yousra Abdul Alsahib S.aldeen. Head of Assurance and Performance Assessment Unit- College of Science for Women-University of Baghdad. Ph.D. in Computer Network. Research Interests: Cloud Privacy, IOT, Computer Network, Smart City, Cloud of Things, etc. 1994 she has got BSc in Computer Science (Al-Mustansiriyah University). 2006 She has got MSc in Computer Network (Iraqi Commission for computers and informatics). 2017 PhD at Faculty of Computing, University Technology Malaysia, UTM, 81310 UTM Skudai, Johor, Malaysia. Some of her published Papers( A comprehensive review on privacy preserving data mining, An innovative privacy preserving technique for incremental datasets on cloud computing, PRESENT CHALLENGES AND FUTURE PROMISES OF CLOUD COMPUTING, a Hybrid K-anonymity Data Relocation Technique for Privacy Preserved Data Mining in Cloud Computing, A New Heuristic Anonymization Technique for Privacy Preserved Datasets Publication on Cloud Computing, New trends in internet of things, applications, challenges, and solutions).
Area of Interest:
Computer Sciences
100%
Computer Networks
62%
Artificial Intelligence
90%
Soft Computing
75%
Communication
55%
Research Publications in Numbers
Books
0
0
Chapters
0
0
Articles
0
0
Abstracts
0
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Selected Publications
- Aldeen, Y.A.A.S. and M. Salleh, 2019. Techniques for Privacy Preserving Data Publication in the Cloud for Smart City Applications. In: Smart Cities Cybersecurity and Privacy, Rawat, D.B. and K.Z. Ghafoor (Eds.). Elsevier, New York, ISBN: 978-0-12-815032-0, pp: 129-145.
- Aldeen, Y.A.A.S. and M. Salleh, 2019. Privacy Preserving Data Utility Mining Architecture. In: Smart Cities Cybersecurity and Privacy, Rawat, D.B. and K.Z. Ghafoor (Eds.). Elsevier, New York, ISBN: 978-0-12-815032-0, pp: 253-268.
- Aldeen, Y.A.A.S., 2018. Present challenges and future promises of cloud computing. J. Theor. Applied Inform. Technol., 96: 1408-1421.
Direct Link | - Aldeen, Y.A.A.S., M. Salleh and Y. Aljeroudi, 2016. An innovative privacy preserving technique for incremental datasets on cloud computing. J. Biomed. Inform., 62: 107-116.
CrossRef | Direct Link | - Aldeen, Y.A.A.S., M. Salleh and M.A. Razzaque, 2016. A technique of data privacy preservation in deploying third party mining tools over the cloud using SVD and LSA. Res. J. Applied Sci., 11: 27-34.
- Aldeen, Y.A.A.S. and M. Salleh, 2016. State-of-the-art in privacy preserved k-anonymity revisited. Res. J. Applied Sci. Eng. Technol., 12: 782-789.
- Aldeen, Y.A.A.S. and M. Salleh, 2016. A hybrid k-anonymity data relocation technique for privacy preserved data mining in cloud computing. J. Internet Comput. Serv., 17: 51-58.
CrossRef | - Aldeen, Y.A.A.S., Y. Abdul, M. Salleh and M.A. Razzaque, 2015. State of the art survey on security issue in cloud computing architectures, approaches and methods. J. Theor. Applied Inform. Technol., 75: 53-61.
Direct Link | - Aldeen, Y.A.A.S., M. Salleh and M.A. Razzaque, 2015. A survey paper on privacy issue in cloud computing. Res. J. Applied Sci. Eng. Technol., 10: 328-337.
Direct Link | - Aldeen, Y.A.A.S., M. Salleh and M.A. Razzaque, 2015. A comprehensive review on privacy preserving data mining. SpringerPlus, Vol. 4. 10.1186/s40064-015-1481-x.
CrossRef | - Aldeen, Y.A.A.S., M. Salleh and M. Abdur Razzaque, 2015. State of the art survey on security issue in cloud computing architectures, approaches and methods. J. Theor. Applied Inform. Technol., 75: 53-61.
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