Traditional Identity Authentication Research Articles

Optimization Exploration of Digital Identity Authentication Algorithm Based on Blockchain

Abstract In order to solve the problems of the cumbersome user authentication process, insecure identity information, and vulnerable authentication system in traditional identity authentication, a distributed identity authentication method based on blockchain technology is proposed, which utilizes decentralization and is not easy to tamper with characteristics of blockchain and asymmetric encryption to improve the security and stability of user identity authentication system. On this basis, a digital identity authentication optimization scheme is designed, including the use of a hash chain to improve the data structure and the consistency of node data by optimizing the consensus mechanism to enhance authentication security and efficiency. Finally, the automation of authentication is also achieved by introducing smart contracts. The experimental results show that the computational spend of blockchain technology is 55.47% and 97.36% less than the two traditional algorithms, and the overall security score is 22, while the conventional scheme is only 12.5. The blockchain-based authentication mechanism improves the reliability and efficiency of the authentication system.

Voice Print Recognition Check-in System Based on Resnet

With the development of modern technology and the rise of artificial intelligence, the application scenarios of identity authentication technology are becoming more and more complex, especially the current situation of the spread of the novel coronavirus, the traditional identity authentication technology can no longer meet people's actual needs, and the society urgently needs a secure and convenient identity authentication technology. Voice print recognition technology is an identity recognition method that uses specific feature extraction methods to extract the features that can identify the speaker's identity from the original speech input, and then uses these features to identify the speaker's identity. Aiming at the above problems, this paper proposes a deep learning-based voicing recognition algorithm, which is based on the theoretical knowledge of deep learning. The research work includes the following aspects: providing convolutional network to extract features; The "speech feature template library" is established by massive training. Research on matching and recognition algorithm; Research on check-in system based on voice print recognition. Based on this algorithm, this paper designs and implements a voiceprint recognition check-in system with clear interactive interface. The system has the functions of adding members, refreshing the voice library, checking in with the voice print, clearing the results and so on. The system interface will display the data of the voice print library and the historical check-in record, as well as the current recognition results, accuracy and check-in time. The average recognition rate of the system is about 95%, which can meet the requirement of practical application.

Application of Face Recognition in E-commerce Security Authentication in the Era of Big Data

Although Internet technology brings invaluable benefits to all walks of life, the security of network and information is becoming more and more prominent. The leakage of personnel information caused by Internet security incidents causes irreparable harm and loss to individuals or enterprises. E-commerce is a virtual transaction mode based on Internet technology. Its security requirements for transactions are more stringent than those for traditional transaction modes. Traditional identity authentication technology can no longer meet its security needs. People urgently need a reliable identity authentication system, meaning to ensure the security of e-commerce. According to the actual application scenarios of the algorithm in e-commerce, this paper, based on the research on face recognition technology, focuses on the in-depth research on face detection technology under the background of big data in order to introduce face recognition technology in this paper. This paper proposes a feature-based face matching algorithm. The face image is preprocessed to improve the accuracy of real-time face detection and reduce the false detection rate. Based on the research of traditional facial feature extraction technology, a virtual sample set that can effectively support a traditional facial feature extraction algorithm is constructed to solve the problem of insufficient training samples in practical applications. The experimental results showed that the accuracy of the method in this paper can reach up to 79.5% and that the minimum time consumption is only 0.142 s. Compared with the traditional method, the accuracy rate is higher and the time consumption is shorter.

Dynamic permission access control model based on privacy protection

Access control technology is one of the key technologies to ensure safe resource sharing. Identity authentication and authority distribution are two key technologies for access control technology to restrict unauthorized users from accessing resources, and only authorised legal users can access resources. However, user privacy protection and frequent permission changes are two thorny issues that need to be solved urgently by access control technology. In this paper, a dynamic access control model based on privacy protection is proposed to deal with these problems. Compared with existing access control technologies, the main advantages of this paper are as follows: (1) Encrypt and hide the attributes of entities, and use attribute-based identity authentication technology for identity authentication, which not only achieves the purpose of traditional identity authentication, but also ensures the attributes and privacy of entities are not leaked; (2) Binding resource access permissions with entity attributes, dynamically assigning and adjusting resource access control permissions through changes in entity attributes, making resource access control more fine-grained and more flexible. Security proof and performance analysis show that the proposed protocol is secure under the hardness assumption of the discrete logarithm problem and the decision bilinear Diffie–Hellman problem. Compared with the cited references, this model has the advantages of low computational complexity, short computational time, and low communication overhead.

Research on the effect of generative adversarial network based on wavelet transform hidden Markov model on face creation and classification

Abstract Identity authentication and identification as the main activities in the modern human daily life, in the development of social economy and technological innovation of science and technology, information security and public security and other fields of identity recognition technology put forward higher request, not only to accurately record the relevant data information, and use of advanced technology concept advanced authentication technology is put forward. Knowing the living habits of current social residents, they need to choose appropriate ways to prove their identity, whether they enter the computer system or participate in financial services. For example, passwords, keys, ID cards and other contents are traditional means of identity authentication. As the reliability of traditional identity authentication means is getting lower and lower in today’s social network environment, in order to meet the needs of increasingly innovative network platforms and enhance the security and reliability of identity authentication technology, researchers propose to use biometric identification, among which face recognition is the most common. This recognition method is more direct and effective than palmprint, retina, fingerprint and so on, and occupies an important position in the current biometric research topic. After understanding the application of hidden Markov model (HMM) based on wavelet transform and its improved model in the field of face authentication, this paper analyzes the influence of various observation vector optimization methods on the authentication probability, and proposes a dynamic threshold method combined with the authentication model, in order to obtain a better authentication probability. The final design and implementation of the face information as the core of the identity authentication system. The improved hidden Markov model can effectively represent the correlation between face organs, so it has a positive role in the application of face modeling and authentication technology.

Risk-Based Dynamic Identity Authentication Method Based on the UCON Model

With the continuous progress of computer technology, static identity authentication technology has encountered challenges in practical applications; in addition, it has deficiencies in continuity and mutability. For these reasons, we propose a risk-based dynamic identity authentication method based on the Usage Control (UCON) model. When authenticating a user, we consider their access rights based on the degree of risk, except in case of password authentication. We propose a risk assessment method, and blockchain technology is used in the scheme to provide a reliable process for risk assessment and authorization. Our scheme represents an improvement in traditional identity authentication, resulting in higher continuity and mutability. We also prove that the scheme has high security and scalability.

Efficient boolean SSE: A novel encrypted database (EDB) for biometric authentication

Biometric authentication is up-and-coming to replace the traditional identity authentication method (e.g., passwords, PIN, identification cards) for its convenience and intelligence. With more and more users using this method, the database becomes more extensive, and the functions are seriously challenged. Data outsourcing has advantages in terms of convenience and cost savings, so it has attracted much research effort. However, due to the biometric's immutability of the whole life, it is extremely sensitive, and disclosing it to a third party is undesirable. In this paper, we address the issue of securely outsourcing biometric database. We propose a novel boolean searchable symmetric encryption (SSE) to construct a secure interactive protocol when outsourcing. A new encrypted database construction method was proposed, using the more efficient boolean vectors. Based on this, We suggest three kinds of expressive SSE, supporting disjunctive query, boolean query, and lightweight settings. We prove the schemes' correctness and security theoretically. Our constructions use simple cryptographic tools, such as symmetric cryptography and pseudo-random functions. They are straightforward to understand and easy to implement. The experiments show that all our schemes are practical and more efficient than the existing methods.

A Privacy-Preserving Identity Authentication Scheme Based on the Blockchain

Traditional identity authentication solutions mostly rely on a trusted central entity, so they cannot handle single points of failure well. In addition, most of these traditional schemes need to store a large amount of identity authentication or public key information, which makes the schemes difficult to expand and use in distributed situations. In addition, the user prefers to protect the privacy of their information during the identity verification process. Due to the open and decentralized nature of the blockchain, the existing identity verification schemes are difficult to apply well in the blockchain. To solve this problem, in this article, we propose a privacy protection identity authentication scheme based on the blockchain. The user independently generates multiple-identity information, and these identities can be used to apply for an identity certificate. Authorities use the ECDSA signature algorithm and the RSA encryption algorithm to complete the distribution of the identity certificate based on the identity information and complete the registration of identity authentication through the smart contract on the blockchain. On the one hand, it can realize the protection of real identity information; on the other hand, it can avoid the storage overhead caused by the need to store a large number of certificates or key pairs. Due to the use of the blockchain, there is no single point of failure in the authentication process, and it can be applied to distributed scenarios. The security and performance analysis show that the proposed scheme can meet security requirements and is feasible.

Anonymous chaotic-based identity authentication protocol in IoT

With the rapid development of internet of things (IoT), the credible identity authentications among the connected devices are widely investigated by researchers and institutes. Traditional identity authentication protocols issues exist in terms of security, complexity and authentication efficiency. To address these problems, this work introduces chaotic mapping technique into identity authentication. Besides, anonymity and interactivity are also considered to realise a high-efficient and secure IoT device authentication. Firstly, Kent chaotic mapping technique is used to generate the chaotic sequence as the authentication key, after that, the interactive authentication is established among the server, reader and tag. The authentication information is encrypted in the transmitted channel. The identity information is anonymous in the proposed protocol. Finally, the security, complexity and efficiency are analysed and discussed. The comparison results show that the proposed protocol is superior to other protocols.

Design of Internet of Vehicles Authentication Scheme Based on Blockchain

While the Internet of Vehicles brings convenience to people, it also brings new challenges to vehicle safety. In view of the security problems of data destruction, replay, counterfeiting and monitoring in the information exchange of the Internet of Vehicles, the article aims to improve the security of identity authentication of the Internet of Vehicles, and relies on the framework of Hyperledger Fabric and divides it according to the characteristics of its modular components. Different participating nodes have designed a model of Internet of Vehicles application service platform based on Hyperledger Fabric based on this; using the decentralization of blockchain technology and the non-tamperable characteristics of the data to endorse the vehicle's identity authentication information as a substitute. The traditional CA certification center combines the blockchain technology with the traditional identity authentication technology based on cryptography, and proposes a solution for the Internet of Vehicles identity authentication based on the blockchain technology. Finally, the article makes a security analysis of the scheme, which shows the effectiveness of the method.

Development of Access Control Mechanism Based on Fingerprint Biometrics and Mobile Phone Identityfor Industrial Internet of ThingsCritical Infrastructure Protection

This paper details the development of an access control mechanism based on fingerprint biometrics and mobile phone International Mobile Equipment Identity (IMEI) modalities for the industrial internet of thing (Industrial IoT) Critical Infrastructure (CI) protection. The idea behind this study is to harden physical security through human identification and authentication processes to Smart CI places such as buildings, military bases, hospitals, airports and other important infrastructure. Fingerprint and mobile phone IMEI are very recognized and accepted identities hence used in police criminal investigation and legal community. Other uses of mobile phone identities include e-medicine, mobile banking, mobile money and remote machine operation. The main objective of this study is to develop a prototype application for authentication and identification of legitimate Industrial IoT human entities/objects based on the mentioned two identities as opposed to traditional knowledge (password, phrase or personal identification number (PIN) etc.,) and possession (token, smart card, identity card etc.,) based Access Control instruments. To achieve this, the study based on eXtreme programming methodology was conducted using visual studio 2010 on DotNet framework 4.0 with C# object oriented programming language. The backend database employed was MySQL open-source Relational database management system (RDMBS). The research produced a number of key results include the development of fingerprint biometric and mobile phone IMEI human identity security layers (modules) and many others. The developed prototype application performance was evaluated by enrolled some fingerprints, IMEI and captured related individual personal information. The result indicated 99.999% accuracy levels. In conclusion, the study shows that the integration of fingerprint and mobile phone IMEI identities in access control roles can improve the security of the Industrial IoT institution and alleviate problems associated with traditional identity authentication methods.

Scheme on Cross-Domain Identity Authentication Based on Group Signature for Cloud Computing

In the cloud computing, different cloud service providers are often in different trust domains. As the traditional identity authentication mode cannot be applied to the cloud computing, the cross-domain identity authentication mechanism is needed to solve the identity authentication problem in the cloud computing. In view of the security problems in cloud computing, a cross-domain identity authentication scheme based on group signature is proposed. This scheme introduces a group of cloud service providers and users who are located in different trust domains. Any member of the group can generate the signature on behalf of the whole group, making the user access the cloud service provider in the case of privacy security. At the same time, with traceability it can track illegal operation of illegal users. In addition, the scheme uses the Chinese Remainder Theorem to integrate the message, and it can control the length of the data in the calculation process, simplifying the calculation process. It also realizes the join and revocation of group members without changing the key of other legitimate group members, and the maintenance cost of authentication schemes is low. The results show that the scheme has the advantages of anonymity, anti-counterfeit, traceability, anti- joint attack and so on. It can not only realize tracking function under the condition of guaranteeing user’s privacy, but can also simplify the authentication calculation process to improve the efficiency of the cross domain identity authentication, and its performance is more suitable for large-scale cloud computing environment.

Lightweight one‐time password authentication scheme based on radio‐frequency fingerprinting

The energy-constrained devices such as the mobile terminals and nodes of the Internet of Things make lightweight security schemes an urgent need. The traditional identity authentication techniques can provide protection for the user's privacy and information to a certain extent, but they suffer from heavy cost. Non-cryptographic authentication mechanisms based on the physical layer characteristics are new techniques, which have a higher security level. The recognition technique of radio transmitter based on radio-frequency fingerprint ( RFF ) is one of the non-cryptographic authentication techniques. The authors propose a lightweight one-time password (OTP) authentication scheme based on RFF (RFF-OTP), which is a novel cross-layer secure authentication scheme and can provide mutual authentication between the mobile terminal and server, by combining RFF recognition algorithm with a hash encryption algorithm. By theoretical analysis and Syverson and van Oorschot logic verification, they prove that the RFF-OTP scheme is simple, efficient, flexible and independent of trusted-party while it also can resist the cloning attack and satisfy the anonymity compared with the OTP authentication scheme. Besides, it only requires the password to log into the system in the authors' scheme in comparison to the OTP scheme that needs both ID and password for the same purpose.

Research on User Identity Authentication Based on Two-way Confirmation in Data Transmission

User identity authentication is the foundation of data transmission in the complicated network environment. Moreover, the key issue is the effective identity authentication of both sides in data transmission. An authentication method for user identity based on two-way confirmation in data transmission is proposed in this paper. The public key, private key, information of traditional identity authentication, one-time transmission key, timestamp, authentication lifecycle for timestamp and other authentication elements are constructed. Based on guaranteeing the timeliness of data transmission, the two-way user identity authentication process for sending terminal and receiving terminal is set up through using the information of traditional identity authentication and one-time transmission key.

RETRACTED ARTICLE: An identity authentication scheme based on cloud computing environment

In order to solve the shortcomings of traditional identity authentication technology, such as low security, low efficiency, a mobile terminal identity authentication scheme based on cloud computing environment is proposed in this paper. In addition, the two-dimensional code technology is used for identity authentication in the cloud computing environment, and the QR coding technology is also used. The dynamic authentication of the mobile terminal is realized by using the two-dimensional code as the information transmission carrier. According to the security analysis, the scheme has simple structure and no need to use the third party equipment, which has high security and adaptability. Finally, the two fusion of two-dimensional code proposed in this paper provides a new way of thinking for the identity authentication based on the cloud environment, and also promotes the development of the Internet of things.

The Application and Research of the Distributed Electronic Authentication Based Software

With the development of the internet technology, office automation (OA) has brought people great convenience and at the same time OA as an very important approach to informatization, is required to better solve deeper problems to meet more objectives. Traditional identity authentication is through users name/password pattern, however, this mode is easy to access and the password is easily stolen and hard to remember. Especially on the public computers on public use, password-mode may bring very serious potential safety hazard to the users by being seen by others, being stolen by Trojan Program and so on. This thesis introduces how to use computer software to take the place of Password. This electronic authentication technology has three-leveled dispersed hierarchical organization which can identify the user in a very secured and absolute safe way.

Identity Authentication Based on Fingerprint Recognition and PKI in E-Commerce

In this paper, the related concepts of fingerprint recognition technology and PKI are introduced at first. In the traditional identity authentication based on PKI, the shortage of "password + certificate" which is used to perform the identity authentication is analyzed. And combined with the process of fingerprint recognition, an E-commerce identity authentication system based on fingerprint recognition and PKI is put forward. This system performs the identity authentication with the method of "fingerprint + certificate". Then the trust chain with the personal source spot is established and solves the credibility problem of the users’ identity in E-commerce.