Multi‐party key generation protocol for the identity‐based signature scheme in the IEEE P1363 standard for public key cryptography

Feng, Qi; He, Debiao; Wang, Huaqun; Wang, Ding; Huang, Xinyi

doi:10.1049/iet-ifs.2020.0096

Cited by 8 publications

(5 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research results indicated that the new protocol was maliciously secure under weaker assumptions. The new method could effectively solve the IoT data authentication security [11]. Gao, Zhigang et al proposed a user authentication method based on button time interval groups to address the high cost, and low accuracy in mobile device user authentication.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT Device Identity Authentication Method Based on rPPG and CNN Facial Recognition

Wu,

Yang

2024

ijacsa

View full text Add to dashboard Cite

This study aims to address the insufficient model recognition accuracy and limitations of authentication techniques in current IoT authentication methods. The research presents a more accurate face video image authentication technique by using a new authentication method that combines convolutional neural networks (CNN) and remote Photoplethysmography (rPPG) volumetric tracing. This method comprehensively analyzes facial video images to achieve effective authentication of user identity. The results showed that the new method had higher recognition accuracy when the light was weak. The new method performed better in ablation experiments. The error rate was 1.12% lower than the separate CNN model and 1.73% lower than the rPPG model. The half-error rate was lower than the traditional face authentication recognition model, and the method had better performance effect. Meanwhile, the images with high similarity showed better recognition stability. It can be seen that the new method is able to solve problems such as the recognition accuracy in identity authentication, but the recognition effect under extreme conditions requires further research. The research provides a new technical solution for the authentication of Internet of Things devices, which helps to improve the security and accuracy of the authentication system. By combining the CNN model and rPPG, the research not only improves the recognition accuracy in complex environments, but also enhances the system's adaptability to environmental changes. The new method provides a new solution for the advancement of Internet of Things authentication technology.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

IoT Device Identity Authentication Method Based on rPPG and CNN Facial Recognition

Wu,

Yang

2024

ijacsa

View full text Add to dashboard Cite

show abstract

“…It also failed to preserve forward key secrecy [6]. The authors in [44,45] designed identitybased signature protocols to protect message exchanges in mobile devices. However, identity-based schemes have key escrow problems [46].…”

Section: Related Workmentioning

confidence: 99%

Elliptic Curve Cryptography-Based Scheme for Secure Signaling and Data Exchanges in Precision Agriculture

et al. 2023

View full text Add to dashboard Cite

Precision agriculture encompasses automation and application of a wide range of information technology devices to improve farm output. In this environment, smart devices collect and exchange a massive number of messages with other devices and servers over public channels. Consequently, smart farming is exposed to diverse attacks, which can have serious consequences since the sensed data are normally processed to help determine the agricultural field status and facilitate decision-making. Although a myriad of security schemes has been presented in the literature to curb these challenges, they either have poor performance or are susceptible to attacks. In this paper, an elliptic curve cryptography-based scheme is presented, which is shown to be formally secure under the Burrows–Abadi–Needham (BAN) logic. In addition, it is semantically demonstrated to offer user privacy, anonymity, unlinkability, untraceability, robust authentication, session key agreement, and key secrecy and does not require the deployment of verifier tables. In addition, it can withstand side-channeling, physical capture, eavesdropping, password guessing, spoofing, forgery, replay, session hijacking, impersonation, de-synchronization, man-in-the-middle, privileged insider, denial of service, stolen smart device, and known session-specific temporary information attacks. In terms of performance, the proposed protocol results in 14.67% and 18% reductions in computation and communication costs, respectively, and a 35.29% improvement in supported security features.

show abstract

“…Feng et al 33 also designed a new share conversion protocol and constructed the first multiparty distributed signing method for the "identity-based signature scheme in IEEE 1363 standard. "…”

Section: Related Workmentioning

confidence: 99%

“…For protecting the private key in mobile devices, He et al 32 designed a novel two‐party distributed signing scheme for the “identity‐based signature in IEEE 1363 standard.” Their scheme permits two devices to create a valid signature without revealing the entire private key of the user. Feng et al 33 also designed a new share conversion protocol and constructed the first multiparty distributed signing method for the “identity‐based signature scheme in IEEE 1363 standard.”…”

Section: Related Workmentioning

confidence: 99%

Provably secure signature‐based anonymous user authentication protocol in an Internet of Things‐enabled intelligent precision agricultural environment

Vangala

Das

Lee

2021

Concurrency and Computation

View full text Add to dashboard Cite

User authentication is a promising security solution in which an external user having his/her mobile device can securely access the real-time information directly from the deployed smart devices in an Internet of Things-enabled intelligent precision agricultural environment. To achieve this goal, we present a new signature-based three factor user authentication scheme. The established session key between a user and the accessed smart device is then used to make secure communication among them to fetch the real-time data of the device. A detailed security analysis including the random-oracle based formal security, formal security verification using the broadly recognized automated validation of internet security protocols and applications tool and nonmathematical informal security analysis show the robustness of the proposed scheme against a number of potential attacks. In addition, testbed experiments are performed for measuring computational time of various cryptographic primitives that are used for comparative study among the proposed scheme and other related existing competing schemes. The detailed comparative analysis shows that the proposed scheme has a better trade-off among its offered security and functionality features, and communication and computational overheads as compared with those for other competing schemes.

show abstract

Multi‐party key generation protocol for the identity‐based signature scheme in the IEEE P1363 standard for public key cryptography

Cited by 8 publications

References 33 publications

IoT Device Identity Authentication Method Based on rPPG and CNN Facial Recognition

IoT Device Identity Authentication Method Based on rPPG and CNN Facial Recognition

Elliptic Curve Cryptography-Based Scheme for Secure Signaling and Data Exchanges in Precision Agriculture

Provably secure signature‐based anonymous user authentication protocol in an Internet of Things‐enabled intelligent precision agricultural environment

Contact Info

Product

Resources

About