Lightweight batch authentication and privacy-preserving scheme for online education system

Jegadeesan, S.; Nguyen, Tu N.; Azees, Maria; Rajasekaran, Arun Sekar; Cengiz, Korhan

doi:10.1016/j.compeleceng.2021.107532

Cited by 20 publications

(5 citation statements)

References 18 publications

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“…In 2021, Subramani et al. [10] proposed two batch authentication schemes in online education, which reduce the computational overhead while guaranteeing to provide them with basic security functions. Jegadeesan et al.…”

Section: Related Workmentioning

confidence: 99%

“…The system can provide online learning users with ongoing authentication services. In 2021, Subramani et al [10] proposed two batch authentication schemes in online education, which reduce the computational overhead while guaranteeing to provide them with basic security functions. Jegadeesan et al [49] proposed a new anonymous authentication scheme to enhance security and user privacy protection in online education.…”

Section: Authentication Scheme In Online Educationmentioning

confidence: 99%

“…First, the integrity and reliability of messages and the privacy protection of users' information must be ensured in MIoT communication [9]. Moreover, when a malicious entity exists, the trusted third party should track its identity and perform the corresponding punishment to achieve conditional privacy protection [10][11][12]. However, in a wireless environment, malicious attackers can launch various types of attacks by eavesdropping or forging messages to destroy normal communication in the network environment to satisfy their needs [13].…”

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confidence: 99%

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Secure authentication scheme in 6G‐enabled mobile Internet of things for online English education

Cui

2022

IET Networks

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In recent years, the mobile Internet of Things (MIoT) for online English education has quickly become an important means and main tool for people to learn and communicate English due it has characteristics and advantages such as high efficiency and no geographical restrictions. However, most MIoT for online English education is vulnerable to security attacks because of the online learning device's weak security protection measures and their communication channels with open wireless nature. To address these issues, herein, a novel secure authentication scheme in 6G‐enabled MIoT for online English education is proposed. The proposed authentication scheme does not rely on the ideal tamper‐proof device. In this scheme, the certificate and key are updated in real‐time to resist side‐channel attacks, and pseudonym seeds are used to generate pseudonyms to hide user's identity information and realise identity privacy protection. The scheme allows the attacker to continuously obtain private key information. Detailed security analysis proves that the authors’ scheme is unforgeable to adaptive selection message attacks and can satisfy the security requirements of 6G‐enabled MIoT for online English education. In addition, compared with other related studies, the proposed scheme achieves better performance in terms of computation and communication costs.

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Section: Related Workmentioning

confidence: 99%

Section: Authentication Scheme In Online Educationmentioning

confidence: 99%

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confidence: 99%

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Secure authentication scheme in 6G‐enabled mobile Internet of things for online English education

Cui

2022

IET Networks

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“…To overcome all these issues, blockchain is integrated with the VANET system in our suggested method, as it provides a high level of security. The main key features of blockchain technology include immutability, decentralization, distributed ledgers, consistency, security, integrity, and transparency [11][12][13][14]. The main contributions of this proposed method are as follows:…”

Section: Introductionmentioning

confidence: 99%

BAIV: An Efficient Blockchain-Based Anonymous Authentication and Integrity Preservation Scheme for Secure Communication in VANETs

Azees¹,

Rajasekaran²,

Al‐Turjman³

et al. 2022

Electronics

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Recent development in intelligent transport systems (ITS) has led to the improvement of driving experience in vehicular ad-hoc network (VANET) systems. Providing a low computational cost with high serving capability, however, is a critical phenomenon in the current VANET system. In the existing scenario, when the authenticated vehicle user moves from one roadside unit (RSU) to another RSU region, re-authentication of the vehicle user is required by the current RSU, which increases the computational complexity. To overcome the above-mentioned challenge, a blockchain-based authentication protocol is developed in this work. In this suggested process, blockchain is integrated with VANET, which enables the authentication of the vehicle user without the involvement of a trusted authority. Moreover, the integrity of the message and privacy of vehicle users are preserved in the blockchain network. Even though many blockchain-based schemes have been proposed recently, the existing schemes were not focused on conditional anonymity. However, in our proposed scheme, conditional privacy is introduced to revoke the malicious vehicles in the case of disputes and to avoid further damage to the VANET system. As a result, the proposed scheme provides an efficient mechanism for anonymous authentication, privacy, and integrity preservation with conditional tracking. Finally, the defense against different security threats is explained in the security analysis section, and the performance investigation section shows the competence and efficacy of our method with similar related methods.

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“…Much digital gaming necessitates a withdrawal of visual and aural memory retention. (Subramani et al, 2021) The traditional method of learning English is still in use (Chi et al, 2016). This traditional paradigm ignores pupils who have a wide range of backgrounds, abilities, and needs.…”

Section: Introduction To Personalized Learningmentioning

confidence: 99%

Supporting Adaptive English Learning With Fuzzy Logic-Based Personalized Learning

Ding

2022

International Journal of Gaming and Computer-Mediated Simulations

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Serious play for learning has gained popularity in recent years. The research belongs to the opportunity to engage pupils in innovative ways to attract and hold their attention. The purpose of this research is to offer a novel interdisciplinary strategy to identify English language possibilities using complex games that integrates psychological analytic theory, fuzzy reasoning, and neural networks. The study began with a Delphi approach to collect comments from students based on a matrix of the usage of complex games to speak English. A fuzzy logic-based personalized English learning (FLPEL) system is suggested in this article. It creates a fuzzy linguistic identification method that includes four basic input variables (strong points, weak points, possibilities, and risks) recognized through the matrix. It indicates the outcome (studying potentials of the second language) by considering some dynamic input characteristics. The outcomes of the implementation were acquired using the Matlab tool and revealed trustworthy insights and discoveries.

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Lightweight batch authentication and privacy-preserving scheme for online education system

Cited by 20 publications

References 18 publications

Secure authentication scheme in 6G‐enabled mobile Internet of things for online English education

Secure authentication scheme in 6G‐enabled mobile Internet of things for online English education

BAIV: An Efficient Blockchain-Based Anonymous Authentication and Integrity Preservation Scheme for Secure Communication in VANETs

Supporting Adaptive English Learning With Fuzzy Logic-Based Personalized Learning

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