@Article{cmc.2020.011505,
AUTHOR = {Nithya Rekha Sivakumar, Sara Ghorashi, Mona Jamjoom, Mai Alduailij},
TITLE = {Heuristic and Bent Key Exchange Secured Energy Efficient Data  Transaction for Traffic Offloading in Mobile Cloud},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {3},
PAGES = {1925--1943},
URL = {http://www.techscience.com/cmc/v65n3/40147},
ISSN = {1546-2226},
ABSTRACT = {In today’s world, smart phones offer various applications namely face detection, 
augmented-reality, image and video processing, video gaming and speech recognition. 
With the increasing demand for computing resources, these applications become more 
complicated. Cloud Computing (CC) environment provides access to unlimited resource 
pool with several features, including on demand self-service, elasticity, wide network 
access, resource pooling, low cost, and ease of use. Mobile Cloud Computing (MCC) 
aimed at overcoming drawbacks of smart phone devices. The task remains in combining 
CC technology to the mobile devices with improved battery life and therefore resulting in 
significant performance. For remote execution, recent studies suggested downloading all or 
part of mobile application from mobile device. On the other hand, in offloading process, 
mobile device energy consumption, Central Processing Unit (CPU) utilization, execution 
time, remaining battery life and amount of data transmission in network were related to one 
or more constraints by frameworks designed. To address the issues, a Heuristic and Bent 
Key Exchange (H-BKE) method can be considered by both ways to optimize energy 
consumption as well as to improve security during offloading. First, an energy efficient 
offloading model is designed using Reactive Heuristic Offloading algorithm where, the 
secondary users are allocated with the unused primary users’ spectrum. Next, a novel AES 
algorithm is designed that uses a Bent function and Rijndael variant with the advantage of 
large block size is hard to interpret and hence is said to ensure security while accessing 
primary users’ unused spectrum by the secondary user. Simulations are conducted for 
efficient offloading in mobile cloud and performance valuations are carried on the way to 
demonstrate that our projected technique is successful in terms of time consumption, 
energy consumption along with the security aspects covered during offloading in MCC.},
DOI = {10.32604/cmc.2020.011505}
}