TY  - JOUR
T1  - LA-Based Approach for IoT Security
AU - Hashemi, Seyed Mahmood 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 3
SP  - 951
EP  - 959
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.951.959
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.951.959
KW  - Learning automata
KW  -multi-objective optimization
KW  -security
KW  -IoT
KW  -responsibility
KW  -parameters
AB  - The most important aspect in IoT is security. The provision of security in IoT systems is the
responsibility of a trust management mechanism. However, a trust management mechanism comprises a number
of components of which secure routing is vital among them. There are a number of effective parameters in
secure routing which have been considered in the presented multi-objective optimization model. In this study,
Multi-Objective Learning Automata (MOLA) was used to solve secure routing problem which can
simultaneously optimize all parameters. There exist three methods of training LA and the results of the different
methods were compared in this study. The proposed approach can be used with both administrator and users
because their requirements are considered in a model and it is quite easy for administrator and users to
comprehend.
ER  -