Identity Authentication Technology Research Articles

Review on EEG-Based Authentication Technology.

With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years. The safety of brain-computer interface and the long-term insecurity of biometric authentication have a new solution. This review analyzes the biometrics of EEG signals, and the latest research is involved in the authentication process. This review mainly introduced the method of EEG-based authentication and systematically introduced EEG-based biometric cryptosystems for authentication for the first time. In cryptography, the key is the core basis of authentication in the cryptographic system, and cryptographic technology can effectively improve the security of biometric authentication and protect biometrics. The revocability of EEG-based biometric cryptosystems is an advantage that traditional biometric authentication does not have. Finally, the existing problems and future development directions of identity authentication technology based on EEG signals are proposed, providing a reference for the related studies.

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.

Research on the Development Trend of Identity Authentication Technology on Internet: A View of Patent Analysis

The research explores the development trend of identity authentication technology on internets based on DII patent database. by patent analysis and text mining, we discuss technological hotspot, competition relationship and evolution trend of identity authentication technology on internet at the level of patent priority countries and patent assignees.

Privacy-preserving lightweight face recognition

Face recognition based on deep learning has become one of the mainstream identity authentication technologies. In recent years, many well-developed deep convolutional neural networks have emerged. But most of these network structures are very complicated, the training processes are very difficult and face recognition based on these network structures are too large to apply to mobile terminals. To solve this problem, we propose a lightweight face recognition algorithm: LightFace, which is based on depthwise separable convolution. In the process of training LightFace, the triplet loss algorithm is used to optimize model. However, LightFace requires a large amount of training data and the parameters of this model will record the users' data, which can be recovered by attackers. To address this problem, we propose an applicable approach to providing strong privacy guarantees for LightFace. In our approach, the generated data and additional noise are used to slightly disturb the original data distribution, so that the attackers cannot correctly predict the training data, which can improve the security of the model. Besides, in the process of training LightFace, ensemble learning increases the randomness of the original data distribution and enhances the robustness of the model. Within the differential privacy framework, we analyzed the privacy loss of the algorithm theoretically and conduct experiments on different face recognition datasets to demonstrate the effectiveness of our privacy preservation method. The experiment results show that LightFace with privacy preservation still has good recognition accuracy while protecting data privacy.

Research on Multiple Security Authentication Schemes for Mobile Applications of Power Trading Platforms

The development of mobile technology and the Internet has brought many potential threats while bringing convenience to users. Aiming at the leakage of private data and transaction sensitive information in mobile trading market, we study the multi-security authentication support technology of mobile transaction mobile application, and analyse the common mobile application content, document protection technology and mobile signature protection technology. Based on the identity authentication technology of mobile application and the security considerations of members and transaction data in the power trading market, an identity authentication technology using SMS verification code, mobile phone shield, face recognition and fingerprint identification is proposed to protect the mobile transaction mobile application transaction. Anti-leakage of market member privacy data and transaction-sensitive information. In order to verify the effectiveness of the proposed scheme, we carry out the simulation experiment. The experimental results show that the proposed scheme can effectively protect the privacy of users.

Identity Authentication Using Portable Electroencephalography Signals in Resting States

Biometric identity authentication technology is widely used in the field of information security. As a new biological method, electroencephalography (EEG) is gradually applied in biometric recognition, because scientists believe that practicability and portability are the development direction of EEG identity authentication. This work investigates the feasibility of using resting state EEG signals recorded by single-channel portable device for identity authentication. Single-channel EEG classification are effectively improved by using mixed-method in three feature domains (i.e., time, frequency, and time-frequency), feature selection (Rayleigh quotient) and classifier design (ensemble classifier). We invited 46 subjects to participate in the EEG identity authentication experiment. Experimental results show that the open-eyed resting state is an ideal authentication method, and the average classification accuracy of the authentication algorithm can reach 95.48% in 2 seconds, validating that the new method of processing single-channel EEG signals is especially useful in extrapolating EEG identity authentication to realistic field contexts.

Online handwritten signature verification using feature weighting algorithm relief

Online handwritten signatures are widely used as a reliable identity authentication technology in industries such as banking, insurance and hospitals. Most existing online handwritten signature verification schemes usually choose the same feature sets for different users while comparing different signatures, which may reduce the stability of the dynamic characteristics. To avoid this problem, we propose a novel writer-dependent online signature verification technique based on Relief. For each user, our verification scheme falls into two phases: the training phase and the test phase. In the training phase, we select a signature as the base signature from real signatures and construct two different kinds of signature pairs: the real signature pairs and the forged signature pairs. Each pair of real signatures consists of two real signatures, and each pair of forgeries is made up of a real signature and a forgery. A group of combined features are defined for each pair of signatures. Then, we select more stable combined features by means of the Relief algorithm and compute a matrix used as a matching template, which contains the value of each combined feature for each pair of signatures. In the test phase, the classification of the pair of signatures composed of the test signature and the base reference signature is determined by the K-nearest neighbor. Experiments are conducted on our own database and SVC2004, and the results indicate that the method we propose here shows lower FAR and FRR than do traditional methods on the same databases.

The Design of Self-purchasing System for Train Tickets Based on Block Chain Identity Authentication Technology

The Design of Self-purchasing System for Train Tickets Based on Block Chain Identity Authentication Technology

Research on the SSO Key Technology Based on Web

"Once logged in, full network roaming" is the primary purpose of single sign on, which allows users to log in from an entry and access all applications. This paper mainly introduces the SSO system related technical support, from the unified identity authentication technology, Cookie technology and Session authentication mechanism to several single sign on design model based on Web, also from the safety and feasibility analysis of the implementation process of SSO, solve user and administrator problems, improve the convenience of network the user's work efficiency and operation.

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.

Design of Security Policy Based on User Identity Authentication Technology in Cloud Environment

Cloud computing application fields are growing, Apply Identity authentication to the cloud environment has certain limitation and particularity. How to ensure the safety of the cloud computing by the identity authentication technology is a problem that the service providers should concern and it is also difficult. CPK technology is a technology with independent intellectual property rights in China. The biggest advantage of CPK is to create a large scale key by a few resources. Identity authentication and access control is an indispensable part in cloud computing security. This thesis proposes a new access control scheme which combine the rolebased access control scheme and the public key authentication scheme. It can enhance the security of the access control model so as to improve the security of cloud computing. It may occur forgery attacks due to the large number of users in the cloud computing environment. To solve this problem, this thesis proposes a twoway authentication schemes to resist different kinds of forgery attacks. This thesis designs an experiment for the CPK authentication system on the Cloud Sim platform. The results of the simulation show that the user authentication can be effective in cloud computing environment.

An Improved CPK Identity Authentication Scheme Based on Cloud Environment

When cloud computing technology becomes increasingly mature and the application field is expanded gradually, it becomes the focus of attention to perfect the security mechanism under cloud computing environment. Identity authentication technology has some limitations and particularities when applied to cloud environment. In this paper, a bidirectional identity authentication scheme based on CPK technology is proposed, to resist forgery attacks in cloud computing environment. The role based access control plan is integrated with the combined public key authentication scheme, to strengthen the security of access control model and guarantee the security of cloud computing. Simulation experiments are conducted on the cloud computing simulation platform via the improved CPK identity authentication based on cloud environment. According to the experimental results, this scheme can effectively carry out user identity authentication under cloud environment, and the desired effect is obtained in the experiment.

Two-hidden-layer extreme learning machine based wrist vein recognition system

Vein recognition is a new identity authentication technology. It attracts many researchers' attention due to its good security and reliability. This paper proposes a wrist vein recognition system. The proposed system identifies people according to the characteristics of their wrist veins. A special camera is reformed to obtain the wrist vein images and an image dataset is established. Principal component analysis (PCA) is adopted to eliminate the redundant information in the images and extract their global features. The global features are classified by Two-hidden-layer Extreme Learning Machine (TELM). TELM is compared with original Extreme Learning Machine (ELM) and other two algorithms Support Vector Machine (SVM) and Naive Bayes (NB). Experiment results show that the accuracy of the proposed system is higher than the other three algorithms. Though the speed of TELM is not the fastest, it is able to recognize images within satisfactory time.

Blind subjects faces database

Using your face to unlock a mobile device is not only an appealing security solution, but also a desirable or entertaining feature that is comparable with taking selfies. It is convenient, fast, and does not require much effort. Nevertheless, for users with visual impairments, taking selfies could potentially be a challenging task. In order to study the usability and ensure the inclusion of mobile-based identity authentication technology, the authors have collected the blind-subject face database (BSFDB). Ensuring that technology is accessible to disabled people is important because they account for about 15% of the world population. The BSFDB contains some 40 individuals with visual disabilities who took selfies with a mock-up mobile device. The database comes with four experimental protocols which are defined by a dichotomy of two controlled covariates, namely, whether or not a subject is guided by audio feedback and whether or not he/she has received explicit instructions to take the selfie. The findings suggest the importance of appropriate design of human computer interaction as well as alternative feedback design based on the audio cue. All the data is available online including more than 70, 000 detected face images of blind and partially blind subjects.

Research and Design of Cloud Integrated Multiple Identity Authentication in Digital Classroom

Rapid development of information technology in education not only leads to great changes in the field of education, but also results in some security risks. How to ensure the safety of teaching resources has become a hot topic in current research in the teaching system with the cloud-terminal integrated digital classroom as scene. In the paper, importance of identity authentication mechanism is proposed by analyzing defects of cloud computing firstly, multiple identity authentication technologies are adopted for privacy protection of data. Features of four technologies, password authentication, smart card authentication, USB key authentication and biometric authentication, are analyzed in details. A set of multiple identity authentication system is designed and realized. The system is designed in Detailed system architecture is designed in the system for improving dynamic password technology and fingerprint recognition technology for ensuring data operation of legitimate users. Mobile terminals should be combined as example, and actual test can be conducted aiming at account recovery, remote data destruction and other demand after unexpected loss of smart terminal equipment. The result shows that the system can ensure accuracy and reliability of account and hardware equipment with excellent test effect.

Fingerprint Preprocessing and Recognition System Development and Design

fingerprint image preprocessing and is one of the branch of image processing and pattern recognition, after several years of development the increasing maturity of the technology. Due to the uniqueness and invariability of fingerprints, and the feasibility and practicability of the fingerprint identification technology, fingerprint identification has become the most popular, the most convenient, one of the most reliable personal identity authentication technology. Although on this technology has a variety of molding products, but because many of the core technology by commercial interests and confidentiality need without open, as well as the development of the society put forward higher requirements on the performance of the system, so in this field of research, still has important theoretical significance and practical value.

Research on the Network Security and Identity Authentication Technology

Network security and identity authentication is confirmed the true identity whether the user and the claimed identity is consistent or not, in order to prevent the illegal user access the system for resources by identity fraud. The one-time password authentication technology with high safety, convenient for using, easy for management and lower cost is applied widely and has bright prospection. The one-time password authentication technology support to add uncertain factors in the login process, so that the login authentication informations are not the same each time. It is useful to improve the security of the login process. In this paper, a new system which is based on the the one-time password authentication technology called biometric system is first introduced. Then the framework of multi-biometric system is presented, and several examples are also shown. The prospect about multi-biometric fusion is also given.

Research on Remote Network Bidirectional Detect and Control Model

Remote network bidirectional detect and control technologies are the key factors to solve local network allopatry expansibility and management. With studying gateway integration technology, bidirectional VPN technology, identity authentication technology and dynamic host management technology can be integrated into gateway. Thus, bidirectional connect and control among allopatry local networks based on Internet can be solved. Whole area expansibility of local network is realized. With experiment, the model is proved to finish remote bidirectional interconnection of local network automatically and to obtain allopatry local users authority. The equipment detecting and controlling in remote local networks are realized. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3243 Full Text: PDF

The Research and Implementation of Expert Identity Authentication Technology in the Science and Technology Awarding Review System

In the process of scientific and technical awarding review each phase involves a lot of sensitive information. In order to embody the fairness and impartiality of review process, the safety protection of sensitive data is particularly important. This paper starts from the identity authentication, designs and implement second check technology. Practice proves that the use of these techniques greatly enhance the security and stability of the system.

Biometric technologies in support of identity and privacy assurance

The evolution of identity ecosystems around the world is supported by the use of various identity proofing and authentication technologies. This evolution is providing opportunities for biometric technologies that are more varied and widespread than their historical roles as modes of identification and authentication in law enforcement and access control scenarios.