LA-Based Approach for IoT Security
- 10.2991/jrnal.2017.3.4.7How to use a DOI?
- Learning Automata, Multi-Objective Optimization, Security, IoT
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 paper, 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.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Seyed Mahmood Hashemi AU - Jingsha He PY - 2017 DA - 2017/03/01 TI - LA-Based Approach for IoT Security JO - Journal of Robotics, Networking and Artificial Life SP - 240 EP - 248 VL - 3 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2017.3.4.7 DO - 10.2991/jrnal.2017.3.4.7 ID - Hashemi2017 ER -