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In order to ensure the security of identity authentication of electric power, financial and other terminal products, this paper proposes a security operation method based on security chip identity authentication. There are four main methods of this method, which need to be completed with corresponding instructions: The first is the authentication identity method. The security chip needs to send the “verify identity authentication pin” command to the interface device. After the verification is passed, the interface device can legally read and write to the security chip. The second method is to unlock the identity, need to execute the “unlock identity authentication pin” command, this method can make the locked security chip restore normal operation. The third method is to reset the identity, which needs to execute the “reload identity authentication pin” command, which can set the user’s identity authentication pin to the newly entered identity authentication pin, so as to ensure the restorability of the authentication. The fourth is to change the identity method, the security chip needs to execute the “change identity authentication pin” command, this method can update the original identity authentication pin to the newly entered identity authentication pin. Based on actual application security requirements, users can use the four types of commands to reasonably combine applications, select different security operation methods, and perform corresponding application functions such as verify, unlock, reload, and change identity authentication pin, so as to achieve secure operation of the security chip authentication pin. Identify whether the identity authentication pin is in a locked state in response to commands such as verify identity authentication pin, unlock identity authentication pin, reload identity authentication pin, or change identity authentication pin. Recognizing that the identity authentication pin is in a locked state, it is prohibited to execute the verify identity authentication pin command and change identity authentication pin command; it is allowed to execute the unlock identity authentication pin command and reload identity authentication pin command to unlock identity authentication pin. Therefore, after the identity authentication pin is locked, the identity authentication pin can be unlocked based on the unlock identity authentication pin command or reload identity authentication pin command, so that the security chip can continue to be used while meeting security requirements.

With the increasingly severe network security environment and situation, a single means of identity authentication has been difficult to effectively match and adapt to the needs of Internet identity authentication, it is urgent to establish a more rigorous and scientific identity authentication mechanism. Based on this, this paper first analyses the necessity of establishing identity authentication mechanism under the background of Internet, and then studies the value and role of blockchain in identity authentication. Finally, the identity authentication mechanism based on blockchain and its development trend is given.

This paper combined the adaptive light adjustment algorithm and the generative adversarial network (GAN) deblurring algorithm with a convolutional neural network (CNN) algorithm for blurred face image recognition. First, the adaptive light adjustment algorithm and the GAN algorithm were used to perform deblurring operations on blurred face images, and then the CNN algorithm was used to recognize them. Then, simulation experiments were conducted. In the experiments, the adaptive light adjustment-combined GAN deblurring algorithm was compared with the Gaussian filter method and traditional GAN algorithm. The proposed face authentication algorithm was compared with the support vector machine and traditional CNN algorithms. The results showed that the adaptive light adjustment-combined GAN algorithm could effectively deblur the face image, with a peak signal to noise ratio of 32.08 and a deblurring time of 0.29 s. Moreover, the proposed face authentication algorithm could effectively recognize the identity of the blurred face image, with a precision of 0.987, a recall rate of 0.986, and an F value of 0.986, and it consumed 0.31 s for recognition.

A quantum protocol for (t,n)-threshold identity authentication based on Greenberger-Horne-Zeilinger states is presented. A trusted third party (TTP) can authenticate the users simultaneously when and only when t or more users among n apply for authentication. Compared with the previous multiparty simultaneous quantum identity authentication (MSQIA) protocols, the proposed scheme is more flexible and suitable for practical applications.

To guarantee information security in communication, quantum identity authentication plays a key role in politics, economy, finance, daily life and other fields. In this paper, a new quantum multiparty simultaneous identity authentication protocol with Greenberger–Home–Zeilinger (GHZ) state is presented. In this protocol, the authenticator and the certified parties are the participants with quantum ability, whereas the third party is a classical participant. Here, the third-party is honest and the other two parties may be dishonest. With the help of a classical third-party, a quantum authenticator and the multiple certified parties can implement two-way identity authentication at the same time. It reduces the quantum burden of participants and lowers down the trustworthiness, which makes the protocol be feasible in practice. Through further security analysis, the protocol can effectively prevent an illegal dishonest participant from obtaining a legitimate identity. It shows that the protocol is against impersonation attack, intercept-measure-resend attack and entangle-measure attack, etc. In all, the paper provides positive efforts for the subsequent security identity authentication in quantum network.

With the continuous development of science and engineering technology, our society has entered the era of the mobile Internet of Things (MIoT). MIoT refers to the combination of advanced manufacturing technologies with the Internet of Things (IoT) to create a flexible digital manufacturing ecosystem. The wireless communication technology in the Internet of Things is a bridge between mobile devices. Therefore, the introduction of machine learning (ML) algorithms into MIoT wireless communication has become a research direction of concern. However, the traditional key-based wireless communication method demonstrates security problems and cannot meet the security requirements of the MIoT. Based on the research on the communication of the physical layer and the support vector data description (SVDD) algorithm, this paper establishes a radio frequency fingerprint (RFF or RF fingerprint) authentication model for a communication device. The communication device in the MIoT is accurately and efficiently identified by extracting the radio frequency fingerprint of the communication signal. In the simulation experiment, this paper introduces the neighborhood component analysis (NCA) method and the SVDD method to establish a communication device authentication model. At a signal-to-noise ratio (SNR) of 15 dB, the authentic devices authentication success rate (ASR) and the rogue devices detection success rate (RSR) are both 90%.

Controversial information technologies, such as biometrics and radio frequency identification, are perceived as having the potential to both benefit and undermine the well-being of the user. Given the type and/or amount of information these technologies have the capability to capture, there have been some concerns among users and potential users. However, prominent technology adoption models tend to focus on only the positive utilities associated with technology use. This research leverages net valence theories, which incorporate both positive and negative utilities, and context of use literature to propose a general framework that can be used for understanding consumer acceptance of controversial information technologies. The framework also highlights the importance of incorporating contextual factors that reflect the nuances of the controversial technologies and their specific context of use. We apply the framework to consumer acceptance of biometric identity authentication for banking transactions through automated teller machines. To that end, we contextualize the core construct of perceived benefits and concerns to this domain in a qualitative study of 402 participants, determine the appropriate contextual factors that are antecedents of the contextualized core constructs by examining relevant past research, and then develop and validate a contextualized research model in a quantitative study of 437 participants. Findings support the validity of our framework, with the model explaining 77.6% of the variance in consumers’ attitudes toward using biometrics for identity authentication at automated teller machines. The online appendix is available at https://doi.org/10.1287/isre.2017.0706 .

Cross-chain is an emerging blockchain technology which builds the bridge across homogeneous and heterogeneous blockchains. However, due to the differentiation of different blockchains and the lack of access control and identity authentication of cross-chain operation subjects, existing cross-chain technologies are struggling to accomplish the identity transformation of cross-chain subjects between different chains, and also pose great challenges in terms of the traceability and supervision of dangerous transactions. To address the above issues, this paper proposes a scalable cross-chain access control and identity authentication scheme, which can authenticate the legitimacy of blockchains in the cross-chain system and ensure that all cross-chain operations are carried out by verified users. Furthermore, it will record all cross-chain operations with the help of Superchain in order to regulate and trace illegal transactions. Our scheme is scalable and, at the same time, has low invasiveness to blockchains in the cross-chain system. We implement the scheme and accordingly conduct the evaluations, which prove its security, efficiency, and scalability.

With the developments in communication and mobile technologies, mobile users can access roaming services by utilizing a mobile device at any time and any place in the global mobility networks. However, these require several security requirements, such as authentication and anonymity, because the information is transmitted over an open channel. Thus, secure and efficient authentication protocols are essential to provide secure roaming services for legitimate users. In 2018, Madhusudhan et al. presented a secure authentication protocol for global mobile networks. However, we demonstrated that their protocol could not prevent potential attacks, including masquerade, session key disclosure, and replay attacks. Thus, we proposed a secure and efficient three-factor authentication protocol to overcome the security weaknesses of Madhusudhan et al.'s scheme. The proposed scheme was demonstrated to prevent various attacks and provided a secure mutual authentication by utilizing biometrics and secret parameters. We evaluated the security of the proposed protocol using informal security analysis and formal security analysis, such as the real-or-random (ROR) model and Burrows-Abadi-Needham (BAN) logic. In addition, we showed that our scheme withstands man-in-the-middle (MITM) and replay attacks utilizing formal security validation automated validation of internet security protocols and applications (AVISPA) simulation. Finally, we compared the performance of our protocol with existing schemes. Consequently, our scheme ensured better security and efficiency features than existing schemes and can be suitable for resource-constrained mobile environments. Keywords: authentication; global mobility networks; roaming service; BAN logic; ROR model; AVISPA simulation

The rapid proliferation of the Internet of Things (IoT) leaves terminal devices vulnerable to considerable security challenges, notably the absence of robust yet efficient identity authentication mechanisms. Traditional certificate-based approaches incur substantial management overhead and storage expenditure, whereas Identity-Based Cryptography poses inherent key escrow risks. To tackle these challenges, this paper proposes a PUF and SM2-based certificateless identity authentication mechanism that integrates SM2 Certificateless Public Key Cryptography (a Chinese national cryptographic standard) with Physical Unclonable Functions (PUFs). Initially, the proposed solution utilizes PUF technology to derive a unique hardware-generated “fingerprint” from an IoT device, which functions as a root key to generate a partial user private key. This approach essentially binds the terminal’s identity to its physical hardware, thereby effectively mitigating physical cloning attacks against nodes. Moreover, through the adoption of a Certificateless Public Key Cryptography (CLPKC) framework, the complete user private key is jointly generated by a semi-trusted Key Generation Centre (KGC) and the terminal device itself. The comprehensive security analysis proves that the proposed scheme is provably secure under the random oracle model, capable of resisting various common attacks such as physical cloning, man-in-the-middle, and replay attacks. Performance evaluation confirms that the implemented PUF + SM2 certificateless mechanism significantly reduces the size of user public key identifiers to within 64 bytes, offering a substantial advantage over the 1–2 KB certificates typically required in conventional PKI/CA systems, thereby enhancing efficiency in storage and communication.