A Privacy-Preserving RLWE-Based Remote Biometric Authentication Scheme for Single and Multi-Server Environments

Yao, Hailong; Wang, Caifen; Fu, Xingbing; Liu, Chao; Wu, Boyu; Li, Fagen

doi:10.1109/access.2019.2933576

Cited by 20 publications

(14 citation statements)

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“…Generally speaking, key agreement using elliptic-curve cryptography becomes more appealing to achieve less computation overhead. However, it is still computationally expensive [57]. The traditional scheme literally suffers from unresponsive network change, whereby the performance efficiency would be deliberately degraded.…”

Section: Discussionmentioning

confidence: 99%

“…It has a registration center to restrict the service access between the cloud server and smart device. It may achieve a proper mutual authentication to secure the communication channel to acquire: (1) the device or user terminal should be legal to gain the server access; (2) the service provider should authenticate the application services to improve system efficiencies; and (3) the client device has a common session key to preserve data confidentiality and user privacy [57].…”

Section: Related Workmentioning

confidence: 99%

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Secure-user sign-in authentication for IoT-based eHealth systems

Deebak

Al‐Turjman²

2021

Complex Intell. Syst.

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Sustainable Computing has advanced the technological evolution of the Internet and information-based communication technology. It is nowadays emerging in the form of the Cloud of Medical Things (CoMT) to develop smart healthcare systems. The academic community has lately made great strides for the development of security for the CoMT based application systems, such as e-healthcare systems, industrial automation systems, military surveillance systems, and so on. To the architecture of CoMT based Smart Environment, Chebyshev Chaotic-Map based single-user sign-in (S-USI) is found as a significant security-control mechanism. To ensure the fidelity, the S-USI assigns a unary-token to the legal users to access the various services, provided by a service provider over an IP-enabled distributed networks. Numerous authentication mechanisms have been presented for the cloud-based distributed networks. However, most of the schemes are still persuasible to security threats, such as user-anonymity, privileged-insider, mutual authentication, and replay type of attacks. This paper applies a sensor/sensor-tag based smart healthcare environment that uses S-USI to provide security and privacy. To strengthen the authentication process, a robust secure based S-USI mechanism and a well-formed coexistence protocol proof for pervasive services in the cloud are proposed. Using the formal security analysis, the prominence of the proposed strategies is proven to show the security efficiency of proposed S-USI. From the formal verification, the comparison results demonstrate that the proposed S-USI consumes less computation overhead; and thus it can be more suitable for the telecare medical information systems.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Secure-user sign-in authentication for IoT-based eHealth systems

Deebak

Al‐Turjman²

2021

Complex Intell. Syst.

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“…Such technologies allow people to intuitively enter commands by simply accessing a virtually displayed hologram image, which could be in the form of keys or buttons or PIN projected from an embedded holographic signal emitter. Light detectors, using optical or infrared beams can capture, classify, and diagnose the selected keys and transmit them to the embedded processing unit for analysis [ 42 , 43 ].…”

Section: Big Data Biometric Analytics: a Ct Paradigmmentioning

confidence: 99%

Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures

Manimuthu

V²,

Zografopoulos

et al. 2021

SN COMPUT. SCI.

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Intelligent systems are enhancing city environments and improving their overall performance in all possible aspects. Innovations in the field of information and communication technologies (ICT) and the proliferation of big data, internet-of-things (IoT), and cloud (BIC) infrastructures revolutionize the existing agile city ecosystems while effectively addressing customers and citizens needs. In this paper, we address the technology-driven applications that are capable of influencing the existing city infrastructures during their transformation towards smart cities with contactless technologies. We present applications, design principles, technology standards, and cost-effective techniques that leverage BIC for contactless applications and discuss user interfaces deployed in smart city environments. We further discuss state-of-the-art sensing methods and smart applications that support cities with smart contactless features. Finally, a case study is reported on how BIC can assist in efficiently handling and managing emergency situations such as the COVID-19 pandemic.

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“…As a result, a biometric authentication scheme based on single and multi-server environment was presented for authenticating the key exchange process [13]. Secret key mechanisms are also implemented based on biometric authentication systems [14].…”

Section: Related Workmentioning

confidence: 99%

A Silent Password Recognition Framework Based on Lip Analysis

2020

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Securing passwords either written or spoken is considered one of the challenging authentication issues faced by individuals and organizations. Written passwords could be easily stolen by look over, or manbehind, while spoken passwords could be recorded and replayed by attackers. A proposed silent password which is based on a dual security model for lip movement analysis will be a promoting solution to these attacks. The goal of the current research is to propose a hybrid voting framework for silent passwords recognition using lip movement analysis. The proposed framework is built for Arabic language by extracting figures from predefined Arabic lexicon. The predefined lexicon mainly contains the Arabic figures from zero to nine with different shapes. The framework takes a video or sequence of images as an input, and outputs the corresponding silent password for the frames extracted from the input video. In this paper, three techniques will be employed to extract effective visual features from mouth-lip movement. Such techniques are SURF, HoG and Haar feature extractor. The resultant features in each technique are fed separately into a classification model, namely, the hidden Markov model (HMM). The HMM identifies corresponding Arabic figure from a predefined lexicon based on input features. The final classification models that are produced from the three techniques have been grouped in a voting scheme to produce the final classification result. The proposed model will be tested on handcrafted data set of lip movement, and it has shown a promising result with improved accuracy of Arabic figures recognition. INDEX TERMS Hidden Markov model, lip analysis, silent password, voting scheme.

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A Privacy-Preserving RLWE-Based Remote Biometric Authentication Scheme for Single and Multi-Server Environments

Cited by 20 publications

References 50 publications

Secure-user sign-in authentication for IoT-based eHealth systems

Secure-user sign-in authentication for IoT-based eHealth systems

Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures

A Silent Password Recognition Framework Based on Lip Analysis

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