A Time Bound Dynamic Group Key Distribution Scheme with Anonymous Three-Factor Identification for IoT-Based Multi-Server Environments

被引:1
作者
Hsu, Chien-Lung [1 ]
Tuan-Vinh Le [2 ]
机构
[1] Chang Gung Univ, Dept Informat Management, Taoyuan, Taiwan
[2] Chang Gung Univ, Grad Inst Business & Management, Taoyuan, Taiwan
来源
2020 15TH ASIA JOINT CONFERENCE ON INFORMATION SECURITY (ASIAJCIS 2020) | 2020年
关键词
biometrics; dynamic group key distribution; IoT; multi-server; privacy; time bound; PRIVACY PROTECTION; AUTHENTICATION;
D O I
10.1109/AsiaJCIS50894.2020.00021
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fifth generation (5G) mobile technology enables a new kind of network which provides high peak data rates, ultra-low latency communication and high user density. In 5G-enabled Internet of Thing (IoT) systems, data is stored and shared with high efficiency and reliability. When the number of IoT devices is increasing, security and privacy issues become prominent. Existing two-factor authentication mechanism is not secure against potential attacks. In addition, it is not possible for single-server architecture to satisfy the needs of the users since they must store massive credentials. Group communication has played an important role in IoT environment where the users of the same groups use common group services. In this paper, our work introduces a time bound dynamic group key distribution scheme with anonymous three-factor identification for IoT-based multi-server environments. The contributions of this work are the following: (1) we introduce a time bound-based dynamic group key distribution scheme which allows the server to distribute dynamic group keys to the users for specific use of group services; (2) our scheme provides a high security environment with three-factor authentication integrating password, smart card and biometrics; (3) we propose a multi-server-based architecture to alleviate the network load and save overhead; and (4) the results of security analysis and performance evaluation indicate that our scheme achieves a stronger security, and bears a rational computation cost compared with its predecessor schemes.
引用
收藏
页码:59 / 65
页数:7
相关论文
共 22 条
[1]   Fog Computing Based Traffic and Car Parking Intelligent System [J].
Alajali, Walaa ;
Gao, Shang ;
Alhusaynat, Abdulrahman D. .
ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2019, PT II, 2020, 11945 :365-380
[2]  
Ashok D., 2020, INT C EMERGING TREND
[3]   Design of an Anonymity-Preserving Group Formation Based Authentication Protocol in Global Mobility Networks [J].
Banerjee, Soumya ;
Odelu, Vanga ;
Das, Ashok Kumar ;
Chattopadhyay, Samiran ;
Kumar, Neeraj ;
Park, Youngho ;
Tanwar, Sudeep .
IEEE ACCESS, 2018, 6 :20673-20693
[4]   I-AREOR: An energy-balanced clustering protocol for implementing green IoT in smart cities [J].
Chithaluru, Premkumar ;
Al-Turjman, Fadi ;
Kumar, Manoj ;
Stephan, Thompson .
SUSTAINABLE CITIES AND SOCIETY, 2020, 61
[5]  
Cryptsoft, 2001, SECURITY POLICY
[6]   Provably Secure Remote Truly Three-Factor Authentication Scheme With Privacy Protection on Biometrics [J].
Fan, Chun-I ;
Lin, Yi-Hui .
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2009, 4 (04) :933-945
[7]   Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction [J].
Fouad, H. ;
Hassanein, Azza S. ;
Soliman, Ahmed M. ;
Al-Feel, Haytham .
MEASUREMENT, 2020, 159
[8]  
Giustolisi R., 2016, ICETE 2016 P 13TH IN
[9]   Towards Energy and Performance-aware Geographic Routing for IoT-enabled Sensor Networks [J].
Hameed, Ahmad Raza ;
ul Islam, Saif ;
Raza, Mohsin ;
Khattak, Hasan Ali .
COMPUTERS & ELECTRICAL ENGINEERING, 2020, 85
[10]   A privacy-preserving cryptosystem for IoT E-healthcare [J].
Hamza, Rafik ;
Yan, Zheng ;
Muhammad, Khan ;
Bellavista, Paolo ;
Titouna, Faiza .
INFORMATION SCIENCES, 2020, 527 :493-510