LA-Based Approach for IoT Security

DOI

10.2991/jrnal.2017.3.4.7How to use a DOI?

Keywords

Learning Automata, Multi-Objective Optimization, Security, IoT

Abstract

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.

Copyright

© 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/).

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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  -