A blockchain-based security system with light cryptography for user authentication security

被引:0
|
作者
Imen Hagui
Amina Msolli
Noura ben Henda
Abdelhamid Helali
Abdelaziz Gassoumi
Thanh Phuong Nguyen
Fredj Hassen
机构
[1] University of Monastir,Laboratory of Micro
[2] King Khaled University,Optoelectronics and Nanostructures
[3] University of Toulon,Department of Physics, Faculty of Sciences
来源
Multimedia Tools and Applications | 2024年 / 83卷
关键词
Blockchain; Cryptography; Shift-advanced encryption Standard (Shift-AES); Internet of things (IoT); Secure hash algorithm 256 (SHA-256); Lightweight cryptography;
D O I
暂无
中图分类号
学科分类号
摘要
Nowadays, the Internet of Things (IoT) enables the creation of a wide range of new services, including smart cities, agriculture, energy, technology, healthcare, and other security concerns. Safety concerns currently limit the development of this advanced technology. On the other hand, traditional security protocols and existing solutions cannot be used for IoT because most of them cannot guarantee good performance. Furthermore, they are often severely limited in terms of storage, computing power, and performance. The aim of the proposed research is to introduce a secure verification framework for user authentication, with a special focus on the communication between access points and node databases. The main goal is to increase the level of security within the proposed approach, ensuring the confidentiality, integrity, and availability of the image verification system during the authentication process. To achieve this goal, three phases were implemented. First, a new hybrid biometric pattern is proposed that merges image and password features to enhance the security of user authentication. Second, lightweight Encryption and Blockchain technologies are also utilized to ensure secure communication of patterns between the access point and the node database. Finally, in order to verify authenticity, a new proposed matching process involves comparing image and password features with the database records. The experimental analysis has been carried out in terms of accuracy, False Rejection Rate (FRR), False Acceptance Rate (FAR), and error rate. The proposed approach attained an accuracy of 98%, FAR of 0.1, FRR of 0.992, and an error rate of 0.017.
引用
收藏
页码:52451 / 52480
页数:29
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