Internet of Things (IoT) Framework for Granting Trust among Objects

다국어 초록 (Multilingual Abstract)

The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible forboth consuming and providing services. Undue access from irresponsible activities becomes an interestingissue to address. Maintenance of data integrity and privacy of objects is important from the perspective ofsecurity. Privacy can be achieved through various techniques: password authentication, cryptography, and theuse of mathematical models to assess the level of security of other objects. Individual methods like these areless effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworksare considered better, regardless of the framework model used, whether centralized, semi-centralized, ordistributed ones. In this paper, we propose a new semi-centralized security framework that aims to improveprivacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputationcoordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object todetermine other objects that are considered trusted before the communication process is implemented.
Evaluation of the proposed framework was done through simulation, which shows that the framework can beused as an alternative solution for improving security in the IoT.

참고문헌 (Reference)

1 J. Su, "ePASS: an expressive attribute-based signature scheme with privacy and an unforgeability guarantee for the internet of things" 33 : 11-18, 2014

2 A. B. Waluyo, "Trustworthy data delivery in mobile P2P network" 86 : 33-48, 2017

3 D. Conzon, "The VIRTUS middleware:an XMPP based architecture for secure IoT communications" 1-6, 2012

4 K. Kang, "Security and privacy mechanism for health internet of things" 20 (20): 64-68, 2013

5 R. Neisse, "SecKit: a model-based security toolkit for the internet of things" 54 : 60-76, 2015

6 L. Atzori, "SIoT : giving a social structure to the internet of things" 15 (15): 1193-1195, 2011

7 Z. Chen, "Privacy-preserving model of IoT based trust evaluation" E100-D (E100-D): 371-374, 2017

8 A. Samani, "Privacy in internet of things : a model and protection framework" 52 : 606-613, 2015

9 U. S. Premarathne, "Location-dependent disclosure risk based decision support framework for persistent authentication in pervasive computing applications" 88 : 161-177, 2015

10 H. Sato, "Establishing trust in the emerging era of IoT" 398-406, 2016

11 Subbian Umamaheswari, "Enhanced ANTSEC Framework with Cluster based Cooperative Caching in Mobile Ad Hoc Networks" 한국통신학회 17 (17): 40-46, 2015

12 V. Suryani, "ConTrust : a trust model to enhance the privacy in internet of things" 10 (10): 30-37, 2017

13 A. S. Tanenbaum, "Computer Network" Pearson Education Inc 2003

14 CASAGRAS Partnership, "CASAGRAS final report: RFID and the inclusive model for the internet of things" 2009

15 E. E. Zakaria, "An integrated security framework for access control and address auto-configuration for MANETs" 253-260, 2015

16 M. S. Farash, "An efficient user authentication and key agreement scheme for heterogeneous wireless sensor network tailored for the internet of things environment" 36 (36): 152-176, 2016

17 X. Xu, "An autonomic agent trust model for IoT systems" 21 : 107-113, 2013

18 C. Zhu, "A novel sensory data processing framework to integrate sensor networks with mobile cloud" 10 (10): 1125-1136, 2016

19 B. Zhang, "A novel multiple-level trust management framework for wireless sensor networks" 72 : 45-61, 2014

20 J. Wu, "A hierarchical security framework for defending against sophisticated attacks on wireless sensor networks in smart cities" 4 : 416-424, 2016

21 M. Henze, "A comprehensive approach to privacy in the cloud-based internet of things" 56 : 701-718, 2016

22 A. Sheikhi, "A cloud computing framework on demand side management game in smart energy hubs" 64 : 1007-1016, 2015