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You are here: Home / Events / WORLDCOMP'16 / Tutorials / Tutorial: Mehdi Bahrami & Prof. Arshia Khan

Tutorial: Mehdi Bahrami & Prof. Arshia Khan




Cloud computing is providing new opportunities to all disciplines of computing systems. However, in order to use the cloud, users outsource their data and their applications on a cloud computing system. Outsourcing data to the cloud computing systems introduces Data Privacy challenge because user’s data and application can be exposed to the vendor and its partners in addition to the unauthorized users, and external malicious entities. This issue shows that how the cloud can be vulnerable to different attack scenario from the client side who submit data and applications, networking which is required to access the outsourced data and applications, to the cloud architecture that can be exposed to the vendor’s staff and authorize parties.  This tutorial reviews major data encryption and network encryption as a solution for privacy-preserving in the cloud. We will also introduce major challenge which are facing the highlighted methods. As an alternative solution, the tutorial presents light-weight data encryption methods that allow mobile users to store data on clouds with minimal computation overheads. The light-weight methods can be used on mobile devices to store data in the cloud(s) without using cloud computing resources for encryption.  The tutorial highlights architecture side issue for user data privacy preserving and will discuss a dynamic cloud architecture as a solution for the issue. Finally, the tutorial highlights audiences’ experiences thought a discussion session.

This is a 3-hour tutorial composed of lecture, active learning, case study review, and discussion sessions

Tutorial Goal

This is a multi-level tutorial that begins from introduction to the cloud and ended up with the detail of cloud architecture and data security and data privacy analysis in the cloud.


Mehdi Bahrami works in the Cloud Lab at the University of California, Merced and he is a senior member of the IEEE.  He has published several technical papers in the areas of Cloud Computing Architecture. He served as the editor-in-chief of Journal of Soft Computing and Software Engineering. He also served as a technical program committee member for several international IEEE computer science conferences. He is served as a featured speaker in several international conferences including IEEE conferences. He has extensive experience with software engineering and developing distributed software applications in diverse platforms, such as Web-based, Windows-based, and Android-based systems. He is a recipient of the 2015 Distinguished Leadership Award from Margo F. Souza Leadership Center, an achievement award in recognition of contributions to the field of Cloud Computing from World of Computing Congress 2014, 2015 Margo Souza Entrepreneur in Training Award, and several fellowship awards during his Ph.D. study at UC Merced. His research interests include Cloud Computing, Data Privacy and Data Security in Cloud Computing, and Software Engineering.

Arshia A. Khan, Associate Professor at the University of Minnesota Duluth, earned a Bachelor of Engineering in Computer-Engineering, M.S. in Computer Science and Ph.D in Information Technology. Her research interests are interdisciplinary and span the biomedical informatics, clinical/health informatics, and consumer health informatics. Her research is on sensor based wireless, robotic non-intrusive device development for monitoring physiological changes for population health management, mobile clinical decision support, and data analysis. She authored “Objective-C and iOS Programming: A simplistic Approach”.


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