Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9395
Title: Context-aware operation-based access control for internet of things applications
Authors: Genç, Didem
Tomur, Emrah
Erten, Yusuf Murat
Publisher: Institute of Electrical and Electronics Engineers Inc.
Series/Report no.: International Symposium on Networks Computers and Communications
Abstract: Recently, interest of both the academic and industrial world in Internet of Things (IoT) has been increasing and this trend requires development of new security approaches addressing potential weaknesses in this domain. Despite the presence of many studies directed towards security of IoT applications, they are mostly adoption of current methods to IoT scenarios. Yet, IoT applications are comprised of various kinds of different entities including computers, processes, people and services. Therefore, it is inadequate to detect malicious attempts by using conventional security methods, which apply fixed security policies and do not take interaction of things, that is context information, into account. In this study, by considering new security requirements of next generation IoT applications, we propose a fine-grained, dynamic and easily manageable access control model, which is called context-aware operation-based access control.
Description: International Symposium on Networks, Computers and Communications (ISNCC) -- JUN 18-20, 2019 -- Istanbul, TURKEY
URI: https://hdl.handle.net/11147/9395
ISBN: 978-1-7281-1244-2
ISSN: 2472-4386
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
Context-Aware_Operation.pdf414.02 kBAdobe PDFView/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Nov 15, 2024

Page view(s)

286
checked on Nov 18, 2024

Download(s)

332
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.