Resources In Different Domains Research Articles

Cross-Domain Identity Authentication Protocol of Consortium Blockchain Based on Face Recognition

A consortium system can leverage information to improve workflows, accountability, and transparency through setting up a backbone for these cross-company and cross-discipline solutions, which make it become a hot spot of market application. Users of a consortium system may register and log in different target domains to get the access authentications, so how to access resources in different domains efficiently to avoid the trust-island problem is a big challenge. Cross-domain authentication is a kind of technology that breaks trust islands and enables users to access resources and services in different domains with the same credentials, which reduces service costs for all parties. Aiming at the problems of traditional cross-domain authentication, such as complex certificate management, low authentication efficiency, and being unable to prevent the attack users’ accounts, a cross-domain authentication protocol based on face recognition is proposed in this paper. The protocol makes use of the decentralized and distributed characteristics of the consortium chain to ensure the reliable transmission of data between participants without trust relationships, and achieves biometric authentication to further solve the problem of account attack by applying a deep-learning face-recognition model. An asymmetric encryption algorithm is used to encrypt and store the face feature codes on the chain to ensure the privacy of the user’s face features. Finally, through security analysis, it is proved that the proposed protocol can effectively prevent a man-in-the-middle attack, a replay attack, an account attack, an internal attack, and other attacks, and mutual security authentication between different domains can be realized with the protocol.

Resource allocation in full-duplex communications for future wireless networks

The recent significant progress in realizing full-duplex~(FD) systems has opened up a promising avenue for improving quality of service (QoS) and quality of experience (QoE) in future wireless networks. There is an urgent need to address the diverse set of challenges regarding different aspects of FD network design, theory, and development. In addition to the self-interference cancelation signal processing algorithms, network protocols such as resource management are also essential in the practical design and implementation of FD wireless networks. This article aims to present the latest development and future directions of resource allocation in different full duplex systems by exploring the network resources in different domains, including power, space, frequency, and device dimensions. Four representative application scenarios are considered: FD MIMO networks, FD cooperative networks, FD OFDMA cellular networks, and FD heterogeneous networks. Resource management problems and novel algorithms in these systems are presented, and key open research directions are discussed.

Sex differences in fluid intelligence: Some findings from Bosnia and Herzegovina

This study has been conducted with the aim of analyzing sex differences in fluid intelligence of schoolchildren of different ages. Three samples of schoolchildren participated in this study. Fluid intelligence was measured by Raven’s Standard Progressive Matrices (SPM), Raven’s Standard Progressive Matrices Plus (SPM Plus), Raven’s Advanced Progressive Matrices (APM), Culture fair intelligence test, Scale II, (CFIT), D-70 and Problem solving test, (PT). Results obtained in our study indicate that at ages of 12.6 and 16 effect sizes of sex difference in performance on tests of fluid intelligence were small. At age of 17.2 boys scored almost one standard deviation higher than girls. Gender stratification could have led to different experience of boys and girls, which, in turn, could have caused investment of cognitive resources in different domains.

An iris recognition model for secured access to data

AbstractThe exponential growth in the usage of the Internet as well as the emergence of advanced applications, increase the risk of unauthorized access to confidential information. For the last few years, biometric techniques, especially the ones related to iris recognition, have proven their reliability in providing secure access to shared resources in different domains. Many algorithms have been proposed for implementing the iris recognition biometric techniques. In this paper, we study and compare these proposals and propose an efficient new algorithm for iris recognition. Copyright © 2009 John Wiley & Sons, Ltd.

Dynamic paths in multi-domain optical networks for grids

Many Grid applications require high bandwidth end-to-end connections between Grid resources in different domains. Fiber optic networks, owned by different providers, have to cooperate in a coordinated manner in order to provide an end-to-end connection. Currently, multi-domain optical network solutions require paper-based long-term contracts between administrative domains. This paper describes a solution for dynamically creating optical connections between different autonomous domains. This was implemented in the form of a Grid Service following the Open Grid Service Architecture. In our prototype, each switch belongs to a different network domain. Our Grid Service uses a toolkit based on the Generic Authorization, Authentication, and Accounting framework. This toolkit authorizes the use of optical infrastructure elements based on specific policies that are active within each domain. To complete our multi-domain authorization architecture, a Broker Service was also implemented. Our Broker Service interacts with the Grid Service instances to provide Grid application with a simplified way to set up end-to-end connections on demand.