Mobile Device Data Security: A Cryptographic Approach by Outsourcing Mobile Data to Cloud-Reference-Cited by-同舟云学术

Mobile Device Data Security: A Cryptographic Approach by Outsourcing Mobile Data to Cloud

Published:2015 Issue: Volume:47 Page:480-485
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Sujithra M.,Padmavathi G.,Narayanan Sathya

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?;Kumar;Computer,2010

2. Remote Display Solutions for Mobile Cloud Computing;Simoens;Computer,2011

3. Security Framework for Cloud Computing Environment: A Review;Ayesha Malik;Journal of Emerging Trends in Computing and Information Sciences,2012

4. Shashi Mehrotra Seth, Rajan Mishra, “Comparative Analysis Of Encryption Algorithms For Data Communication, “IJCST Vol. 2, Iss ue 2, June 20 I I.

5. Shahryar Shafique Qureshi1, Toufeeq Ahmad1, Khalid Rafique2, Shuja-ul-islam3 “Mobile cloud computing as future for mobile applications – implementation methods and challenging issues”-2011.

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