Visual authentication and identification

Nowadays, the problem of identification and authentication on the Internet is more urgent than ever.There are several reasons for this: on the one hand, there are many Internet services that keep recordsof users and differentiate their access rights to certain resources; on the other hand, cybercriminals'attacks on web services have become much more frequent lately. At the same time, in many cases, theweak point of systems exposed to attacks is precisely the authentication system.Authentication methods based on the knowledge factor (e. g. password protection) are the mostcommon and are applied almost everywhere. Their advantages are ease and low cost ofimplementation. On the other hand, such systems are often vulnerable to various kinds of attacks. It isestimated that up to 80% of successful hacker attacks (including attacks on the largest services withmillions of users) succeeded precisely because of the weakness of the password protection system.This paper presents a solution to the problem of passwordless authentication, which can be applied ina number of online services and systems. In particular, we consider the magic link technology andpresent an authentication system implemented using Keycloak, an open-source software product thatimplements single sign-on technology. In the future, it is possible to further improve the system, inparticular, using adaptive authentication, which allows switching between different authenticationmechanisms depending on certain factors.

International audience

Cryptography is the science of using mathematics to encrypt and decrypt data.It enables to store sensitive information or transmit it across insecure networks so that it cannot be read by anyone except the intended recipient.While cryptography is the science of securing data, cryptanalysis is the science of analyzing and breaking secure communication.A common goal of cryptographic research is to design protocols that provide a confidential and authenticated transmission channel for messages over an insecure network.A cryptographic algorithm is considered to be computationally secured if it cannot be broken with standard resources, either current or future and apart from the algorithm distribution of keys also more important is to make an efficient cryptosystem.TACIT Encryption Algorithm can produce best possible results if key size is the size of the packet expected to pass through the network is small.This paper gives the comparison of the various algorithms with TACIT Encryption Algorithm on the basis of parameters like key length, block size, type and features.The paper is based on the chip designing of the algorithm using VHDL programming language.

Problem of setting. On the modern stage the problem of authentication of man acquires the special actuality, as values are changing, morally spiritual constituents of the world view field of man, the traditional forms of communication are transformed.Recent of research and publications analysis. The results of analysis testify that the evolution of problem of identity is traced both in works of classics of foreign philosophy, psychology and sociology and in works of modern oversea and domestic researchers. At the same time, without regard to the present theoretical base of the probed phenomena, their reflection in the conditions of informative society needs clarifications taking into account new informatively technological processes.Paper of objective. The purpose of the article is an attempt of comprehension of phenomena of moral authentication of man in the conditions of informative society.Paper main body. In the information society becomes relevant to the human desire to avoid public relations, which is due to her instability as an element in the structure of society. Its main determinants are the processes of individualization and personalization, which arise as a result of changing conceptual orientations that give rise to the formation of semideterminate the subject who feels the need to establish new boundaries of their existence. The information society is unlimited space for semiconstrained personality, on the one hand, expanding the space of identification, and, on the other, narrowing the identity by choosing an increasingly narrow cultural gaps for identity. The paradox of the information society is also expressed in bipolar interpretations of the phenomenon of loneliness, which is one of segments of identity: on the one hand, Informatization of society brings people together, and with another – more transformerait it in society total solitude. Interaction between people in society is superficial because the real communication is supplanted by the unreal, virtual.Information processes, forming an eclectic, fragmented social space, transformerait ideological paradigm, and at the same time, contribute to the development of creativity and the changing horizons of individual existence, determine the information the identity of a person. In the information environment one is confronted with multiple identity types, which are subject to positive and negative changes under the influence of information and communication technologies. Chief among them are two types of identity: ipse-identity (sense of self) and idem-identity (a more formal identity depends on the context, environment and situation). An important role for the development of human moral identity in the information society communication. It is in the process of interpersonal communication it receives additional information about yourself, and comparing yourself with a lot of other people, people can understand themselves, to realize what it really is.Conclusions of the research. The problem of human identification in a changing ideological paradigm of the information society is important and requires elaboration on a philosophical level settings, which help the individual to maintain their identity under the influence of intensive information flows. The basis of moral identity is the identity, that is, a look into their inner world and find himself at any time, so the individual reflexive refers to himself with the purpose of understanding the self.

Introducing a new learning method for fuzzy descriptor systems with the aid of spectral analysis to forecast solar activity

Due to the high availability of data, users are frequently overloaded with a huge amount of alternatives when they need to choose a particular item. This has motivated an increased interest in research on recommendation systems, which filter the options and provide users with suggestions about specific elements (e.g., movies, restaurants, hotels, books, etc.) that are estimated to be potentially relevant for the user. In this paper, we describe and evaluate two possible solutions to the problem of identification of the type of item (e.g., music, movie, book, etc.) that the user specifies in a pull-based recommendation (i.e., recommendation about certain types of items that are explicitly requested by the user). We evaluate two alternative solutions: one based on the use of the Hidden Markov Model and another one exploiting Information Retrieval techniques. Comparing both proposals experimentally, we can observe that the Hidden Markov Model performs generally better than the Information Retrieval technique in our preliminary experimental setup.

Since Internet Protocol version 6 is a new technology, insecure network configurations are inevitable. The researchers contributed a lot to spreading knowledge about IPv6 vulnerabilities and how to address them over the past two decades. In this study, a systematic literature review is conducted to analyze research progress in IPv6 security field following the Preferred Reporting Items for the Systematics Review and Meta-Analysis (PRISMA) method. A total of 427 studies have been reviewed from two databases, IEEE and Scopus. To fulfil the review goal, several key data elements were extracted from each study and two kinds of analysis were administered: descriptive analysis and literature classification. The results show positive signs of the research contributions in the field, and generally, they could be considered as a reference to explore the research of in the past two decades in IPv6 security field and to draw the future directions. For example, the percentage of publishing increased from 147 per decade from 2000-2010 to 330 per decade from 2011 to 2020 which means that the percentage increase was 124%. The number of citations is another key finding that reflects the great global interest in research devoted to IPv6 security issues, as it was 409 citations in the decade from 2000-2010, then increased to 1643 citations during the decade from 2011 to 2020, that is, the percentage increase was 302%.

In this paper, we propose the use of recurrent neural networks (RNNs) to develop an effective solution to two problems in electrocardiogram (ECG)-based biometrics: identification/classification and authentication. Different RNN architectures with various parameter settings were evaluated, including traditional, long short-term memory (LSTM), gated recurrent unit (GRU), unidirectional, and bidirectional networks. Unlike many existing methods, the RNN-based method does not require any feature extraction. The method was evaluated using two publicly available datasets: ECG-ID and MIT-BIH Arrhythmia (MITDB). For the identification problem, nearly 100% classification accuracy on the ECG-ID dataset was achieved, and similar results were observed for the MITDB dataset. For the authentication problem, an RNN was trained and the hidden state at the final time step was extracted to make a decision. We evaluated the effect of the training size on the equal error rate (EER), and showed that the EER drops from approximately 3.5% to nearly 0% as we increased the percentage of subjects used for training from approximately 15% to 80%.

Support Vector Machine (SVM) for regression has recently attracted growing research interest due to its obvious advantage such as nonlinear function approximation with arbitrary accuracy, and good generalization ability, unique and globally optimal solutions. An overview of the basic ideas underlying SVM for regression is given in this paper. In particular, new methods such as n-SVM, LS-SVM, weighted SVM and linear SVM, and optimization algorithms including decomposition method and SMO and incremental learning with fast computational speed and ease of implementation are concentrated as well. SVM for regression is an important and promising new direction in the area of nonlinear parameter identification, forecast, modeling and control.

Mobile devices have become increasingly central to our everyday activities, due to their portability, multi-touch capabilities, and ever-improving computational power. Such attractive features have spurred research interest in leveraging mobile devices for computation. We explore a novel approach that aims to use a single mobile device to perform scalable graph computation on large graphs that do not fit in the device's limited main memory, opening up the possibility of performing on-device analysis of large datasets, without relying on the cloud. Based on the familiar memory mapping capability provided by today's mobile operating systems, our approach to scale up computation is powerful and intentionally kept simple to maximize its applicability across the iOS and Android platforms. Our experiments demonstrate that an iPad mini can perform fast computation on large real graphs with as many as 272 million edges (Google+ social graph), at a speed that is only a few times slower than a 13″ Macbook Pro. Through creating a real world iOS app with this technique, we demonstrate the strong potential application for scalable graph computation on a single mobile device using our approach.

Concrete is the world's most widely-used anthropogenic material, and Circular Economy strategies will be key to addressing the myriad challenges that face its use today and into the future. Despite a rapid growth of research interest in developing Circular Economy strategies for concrete, this has mostly focussed on technical and environmental issues at the material and product scale. Holistic approaches considering wider social and political aspects as well as system-scale perspectives have been relatively neglected. This article uses a narrative review to investigate three outstanding questions to help address this gap: how concrete's material, product and system-scale attributes influence the interpretation of Circular Economy principles; how the full range of Circular Economy strategies can be implemented for concrete; and what the likely implementation issues will be when integrating different Circular Economy strategies (such as design for durability, component reuse and material recycling). From a product-scale perspective, it is argued that greater specificity is needed around the growing diversity of concrete materials and products in Circular Economy discourse - their properties are often distinct and hence specific strategies are not necessarily universally applicable. At the same time, a solely product-centric Circular Economy perspective is insufficient for concrete, and only joint consideration of structural and systemic perspectives will yield satisfactory solutions. ‘Soft’ perspectives of social, political and legal aspects cannot be viewed simply as an added bonus, but are essential to reconciling the ‘hard’ issues of technical, environmental and economic aspects that dominate discussions. Whilst concrete can and should have a key role in a Circular Economy, its success will require more than just extensions of linear economy thinking. • Circular Economy (CE) offers opportunities as well as challenges for concrete. • CE strategies must be applied at material, product and infrastructure levels. • Concrete circularity requires a system-level perspective. • Socio-economic and political environments are overlooked circularity drivers.