ABSTRACT:
Mobile cloud computing is an emerging
cloud computing paradigm that integrates cloud computing and mobile computing
to enable many useful mobile applications. However, the large-scale deployment
of mobile cloud computing is hindered by the concerns on possible privacy
leakage. In this paper, we investigate the privacy issues in the ad hoc mobile
cloud computing, and propose a framework that can protect the location privacy
when allocating tasks to mobile devices. Our mechanism is based on differential
privacy and geocast, and allows mobile devices to
contribute their resources to the ad hoc mobile cloud without leaking their
location information. We develop analytical models and task allocation
strategies that balance privacy, utility, and system overhead in an ad hoc
mobile cloud. We also conduct extensive experiments based on real-world
datasets, and the results show that our framework can protect location privacy
for mobile devices while providing effective services with low system overhead.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
·
System : Pentium Dual Core.
·
Hard Disk : 120 GB.
·
Monitor : 15’’ LED
·
Input Devices : Keyboard, Mouse
·
Ram : 1 GB
SOFTWARE REQUIREMENTS:
·
Operating system : Windows 7.
·
Coding Language : JAVA/J2EE
·
Tool : Netbeans 7.2.1
·
Database : MYSQL
REFERENCE:
Yanmin Gong, Student Member, IEEE, Chi Zhang, Member, IEEE, Yuguang Fang, Fellow, IEEE, and Jinyuan Sun, Member, IEEE, “Protecting Location Privacy for Task Allocation in Ad Hoc Mobile
Cloud Computing”, IEEE Transactions on Emerging Topics in Computing, 2018.