TY  - JOUR
T1  - Encryption Algorithm Selection to Protect IoT Devices from Local Network
Attacking using Analytic Network Process and BCR Model
AU - Lee, Young-Chan AU - Nguyen Phu, Thien 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 24
SP  - 7453
EP  - 7457
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.7453.7457
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.7453.7457
KW  - Internet of Things (IoT)
KW  -local attacking
KW  -encryption algorithm
KW  -Analytic Network Process (ANP)
KW  -
KW  -BCR Model
KW  -cryptography
AB  - From the beginning, the importance of IoT device’s security was not considered as it should be. Now,
this issue poses challenges for smart device manufacturers and software developers to improve their device’s
reliability. This study used the combination between analytic network process methodology and
Benefit-Cost-Risk (BCR a derived version of BCOR) Model. To evaluate and select the most appropriate
encryption algorithms applied for IoT devices, this combination is very suitable: The strength of ANP
approach, providing a mathematical and logical way to take decision without affection of human emotion,
combined with BCR, a ranking tools model to find out the right decision. A lot of being-wearied-IoT-devices
are still using unsecured connection such as Bluetooth or poor security encryption system. These are the gold
mine for hacker to dig user’s private information. The most efficient method is applying more secure connection
method using reliable encryption algorithm without losing the performance and cost. And among types of
encryption algorithms, each of them has its own strength and weakness, it is not easy for IoT devices maker
and programmers to choose the good algorithm to deploy on their device. The security requirements in this
study are based on IoT device users and programmers point of view. Therefore, this study keeps well the
objectivity and suggests a good viewpoint to evaluate encryption method for IoT device. This framework
provides a useful, significant and comprehensive tool for IoT software developer, hardware manufacturers to
solve the same or similar security problems. This research will be valuable for IoT devices manufactures and
IoT devices software developers to find the most economical and efficient way to secure their devices.
ER  -