A secure and lightweight hash-based mutual authentication scheme in fog-assisted healthcare network

被引:0
作者
Verma, Upendra [1 ]
Gianey, Hemant Kumar [1 ]
机构
[1] SVKMS NMIMS Univ, Mukesh Patel Sch Technol Management & Engn, Dept Comp Engn, Shirpur 425405, Maharashtra, India
关键词
fog-assisted healthcare networks; real-or-random; ROR model; mutual authentication; hash function; cryptographic attacks; PROTOCOL; INTERNET; DESIGN; SYSTEM; THINGS; IOT;
D O I
10.1504/IJES.2024.144360
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Security and privacy are considered the two main challenges in fog-assisted healthcare networks. Several authentication approaches have been presented in recent years to address the security issues in fog-assisted healthcare networks. To cope with these challenges and improve the safety of fog-assisted healthcare networks, we propose a secure and efficient mutual authentication scheme. In this paper, we design a lightweight hash-based authentication scheme for fog-assisted healthcare networks to provide security against various attacks. The informal security analysis illustrates that the proposed scheme has the capability to resist various security threats. In addition, the proposed scheme has been evaluated with a real-or-random (ROR) model to prove its resilience against cryptographic attacks. The performance study demonstrates that the proposed scheme is more effective and lightweight compared to existing schemes. Moreover, a comprehensive comparison analysis has been undertaken, which shows the proposed scheme provides better security features than existing schemes.
引用
收藏
页码:200 / 212
页数:14
相关论文
共 48 条
[41]  
Sharma V., 2021, INT C INF SYST COMP, P1
[42]  
Singh P., 2017, International Journal of Electrical & Computer Engineering, V7, P2088
[43]   TCALAS: Temporal Credential-Based Anonymous Lightweight Authentication Scheme for Internet of Drones Environment [J].
Srinivas, Jangirala ;
Das, Ashok Kumar ;
Kumar, Neeraj ;
Rodrigues, Joel J. P. C. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (07) :6903-6916
[44]   HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments [J].
Tuli, Shreshth ;
Basumatary, Nipam ;
Gill, Sukhpal Singh ;
Kahani, Mohsen ;
Arya, Rajesh Chand ;
Wander, Gurpreet Singh ;
Buyya, Rajkumar .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 104 :187-200
[45]   A secure lightweight anonymous elliptic curve cryptography-based authentication and key agreement scheme for fog assisted-Internet of Things enabled networks [J].
Verma, Upendra ;
Bhardwaj, Diwakar .
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (23)
[46]   Design of secure key management and user authentication scheme for fog computing services [J].
Wazid, Mohammad ;
Das, Ashok Kumar ;
Kumar, Neeraj ;
Vasilakos, Athanasios V. .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 91 (475-492) :475-492
[47]   A fault tolerance data aggregation scheme for fog computing [J].
Zeng, Zhixin ;
Chang, Liang ;
Liu, Yining .
INTERNATIONAL JOURNAL OF INFORMATION AND COMPUTER SECURITY, 2022, 17 (3-4) :351-364
[48]   Man-in-the-middle attack against cyber-physical systems under random access protocol [J].
Zhang, Xiao-Guang ;
Yang, Guang-Hong ;
Wasly, Saud .
INFORMATION SCIENCES, 2021, 576 :708-724