Problem Of Trust Research Articles

Economic Optimal Coordinated Dispatch of Power for Community Users Considering Shared Energy Storage and Demand Response under Blockchain

In recent years, user-side energy storage has begun to develop. At the same time, independent energy storage stations are gradually being commercialized. The user side puts shared energy storage under coordinated operation, which becomes a new energy utilization scheme. To solve the many challenges that arise from this scenario, this paper proposes a community power coordinated dispatching model based on blockchain technology that considers shared energy storage and demand response. First of all, this paper analyzes the operating architecture of a community coordinated dispatching system under blockchain. Combined with the electricity consumption mode of communities using a shared energy storage station service, the interactive operation mechanism and system framework of block chain for coordinated dispatching are designed. Secondly, with the goal of minimizing the total cost of coordinated operation of the community alliance, an optimal dispatching model is established according to the relevant constraints, such as the community demand response, shared energy storage system operation and so on. Thirdly, the blockchain application scheme of community coordinated dispatching is designed, including the incentive mechanism based on the improved Shapley value allocation coordination cost, and the consensus algorithm based on the change rate of users’ electricity utilization utility function. Finally, the simulation results show that the proposed community coordinated dispatching strategy in this paper can effectively reduce the economic cost, reduce the pressure on the power grid, and promote the consumption of clean energy. The combination of the designed cost allocation and other methods with blockchain technology solves the trust problem and promotes the innovation of the power dispatching mode. This study can provide some references for the application of blockchain technology in user-side energy storage and shared energy storage.

A Dynamic Trust-Related Attack Detection Model for IoT Devices and Services Based on the Deep Long Short-Term Memory Technique.

The integration of the cloud and Internet of Things (IoT) technology has resulted in a significant rise in futuristic technology that ensures the long-term development of IoT applications, such as intelligent transportation, smart cities, smart healthcare, and other applications. The explosive growth of these technologies has contributed to a significant rise in threats with catastrophic and severe consequences. These consequences affect IoT adoption for both users and industry owners. Trust-based attacks are the primary selected weapon for malicious purposes in the IoT context, either through leveraging established vulnerabilities to act as trusted devices or by utilizing specific features of emerging technologies (i.e., heterogeneity, dynamic nature, and a large number of linked objects). Consequently, developing more efficient trust management techniques for IoT services has become urgent in this community. Trust management is regarded as a viable solution for IoT trust problems. Such a solution has been used in the last few years to improve security, aid decision-making processes, detect suspicious behavior, isolate suspicious objects, and redirect functionality to trusted zones. However, these solutions remain ineffective when dealing with large amounts of data and constantly changing behaviors. As a result, this paper proposes a dynamic trust-related attack detection model for IoT devices and services based on the deep long short-term memory (LSTM) technique. The proposed model aims to identify the untrusted entities in IoT services and isolate untrusted devices. The effectiveness of the proposed model is evaluated using different data samples with different sizes. The experimental results showed that the proposed model obtained a 99.87% and 99.76% accuracy and F-measure, respectively, in the normal situation, without considering trust-related attacks. Furthermore, the model effectively detected trust-related attacks, achieving a 99.28% and 99.28% accuracy and F-measure, respectively.

Suspicious Minds: the Problem of Trust and Conversational Agents

In recent years, the field of natural language processing has seen substantial developments, resulting in powerful voice-based interactive services. The quality of the voice and interactivity are sometimes so good that the artificial can no longer be differentiated from real persons. Thus, discerning whether an interactional partner is a human or an artificial agent is no longer merely a theoretical question but a practical problem society faces. Consequently, the ‘Turing test’ has moved from the laboratory into the wild. The passage from the theoretical to the practical domain also accentuates understanding as a topic of continued inquiry. When interactions are successful but the artificial agent has not been identified as such, can it also be said that the interlocutors have understood each other? In what ways does understanding figure in real-world human–computer interactions? Based on empirical observations, this study shows how we need two parallel conceptions of understanding to address these questions. By departing from ethnomethodology and conversation analysis, we illustrate how parties in a conversation regularly deploy two forms of analysis (categorial and sequential) to understand their interactional partners. The interplay between these forms of analysis shapes the developing sense of interactional exchanges and is crucial for established relations. Furthermore, outside of experimental settings, any problems in identifying and categorizing an interactional partner raise concerns regarding trust and suspicion. When suspicion is roused, shared understanding is disrupted. Therefore, this study concludes that the proliferation of conversational systems, fueled by artificial intelligence, may have unintended consequences, including impacts on human–human interactions.

Blake Emerson, Review of Elizabeth Fisher & Sidney A. Shapiro Administrative Competence: Reimagining Administrative Law

Elizabeth Fisher and Sidney Shapiro’s important book is both innovative and traditional, and innovative insofar as it creatively reinterprets tradition. The argument is traditional because it centers administrative “expertise” as the cornerstone of bureaucratic legitimacy. At least since the Progressive Era, and arguably well back into the nineteenth century, Congress and the courts justified the delegation of policymaking power to administrative bodies in large part on the grounds of the practical, workaday experience, as well as technical skill, of public officers. The theory was most memorably articulated by James Landis’s The Administrative Process (1938), which defended independent regulatory agencies’ professional “expertness,” relatively confined subject-matter jurisdiction, and accountability to public opinion. In the wake of the New Deal, the expertise model underpinned the law’s understanding of administrative power, providing an all-purpose reason for courts to defer to agencies’ determinations of law, policy, and fact. That theory has come in for rounds of criticism over the years. It has seemed to many scholars as well as judges to ignore the important value choices that agencies must make above and beyond instrumental calculations about how to achieve well-defined goals. Theories of regulatory capture, interest-group pluralism, presidentialism, and deliberative democracy have offered alternative understandings of administrative legitimacy. On all of these theories something other than expertise is necessary to justify the significant power that unelected officials wield within a democratic-constitutional system. It seems that no one trusts an expert anymore. But nor have any of the competing theories successfully supplanted expertise as a broadly accepted, “neutral” basis on which to exercise administrative power. The problems of trust and legitimacy have reached almost epic proportions as the Supreme Court takes up constitutional challenges to administrative power and develops new doctrines to narrow agencies’ authority. At the same time, the American public fractures politically over whether to “follow the science” or rather “deconstruct the administrative state.” Now is the time, if ever, to rethink what US administrative law is about and how it ought to develop in the future.

OPPORTUNITY PROTECTION PUTEM MONITORING THREAT SOCIAL NETWORKS

Currently, every second inhabitant of the planet is registered in Vkontakte, Whatsapp, Instagram, Skype, Periscope and other social networks. Worst of all, social media can also endanger human life. In many cases, illicit trafficking in drugs and psychotropic substances can spread through these social networks, so special attention should be paid to studying the problems of trust in information in the virtual space.Since social network analysis is a field that is practiced all over the world, it is not surprising that there are many programs, as well as the creation of a system using the Python programming language, which analyzes texts in various subject areas that our society needs and tries to monitor the entire virtual world. We can achieve this goal by introducing the necessary algorithms into a special program.In order to detect and prevent illegal actions, it was considered to organize the monitoring of social networks and the prevention of crimes organized via the Internet by creating software for monitoring social networks.The article discusses the types of cyber threats and methods of protection against them, as well as a program for monitoring social networks in the Python environment and shows its results. Based on the results obtained, he considered the possibility of prevention by identifying types of threats.

The Artificial Face (ART-F) Project: Addressing the Problem of Interpretability, Interface, and Trust in Artificial Intelligence

Cyberpsychology, Behavior, and Social NetworkingAhead of Print The Artificial Face (ART-F) Project: Addressing the Problem of Interpretability, Interface, and Trust in Artificial IntelligenceCompiled by Stefano Triberti, Davide La Torre, and Giuseppe RivaCompiled by Stefano TribertiAddress correspondence to: Prof. Stefano Triberti, Faculty of Human Sciences, Università Telematica Pegaso, Centro Direzionale Isola F2, 80143 Naples, Italy E-mail Address: stefano.triberti@unipegaso.itFaculty of Human Sciences, Università Telematica Pegaso, Naples, Italy.Search for more papers by this author, Davide La TorreAddress correspondence to: Prof. Davide La Torre, SKEMA Business School, Université Côte d'Azur, 60 Rue Dostoïevski, 30085 Sophia Antipolis, France E-mail Address: davide.latorre@skema.eduSKEMA Business School, Université Côte d'Azur, Sophia Antipolis, France.Search for more papers by this author, and Giuseppe RivaAddress correspondence to: Prof. Giuseppe Riva, Humane Technology Lab, Catholic University of Milan, Largo Gemelli 1, 20123 Milan, Italy E-mail Address: giuseppe.riva@unicatt.itApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy.Humane Technology Lab, Catholic University of Milan, Milan, Italy.Search for more papers by this authorPublished Online:24 Mar 2023https://doi.org/10.1089/cyber.2023.29273.ceuAboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 0Issue 0 InformationCopyright 2023, Mary Ann Liebert, Inc., publishersTo cite this article:Compiled by Stefano Triberti, Davide La Torre, and Giuseppe Riva.The Artificial Face (ART-F) Project: Addressing the Problem of Interpretability, Interface, and Trust in Artificial Intelligence.Cyberpsychology, Behavior, and Social Networking.ahead of printhttp://doi.org/10.1089/cyber.2023.29273.ceuOnline Ahead of Print:March 24, 2023PDF download

Multi-domain authorization and decision-making method of access control in the edge environment

The problem of mutual trust between users and edge nodes in an edge computing environment is a sufficient guarantee for the double security of edge computing service users and service providers. How to achieve the user's security and credibility and ensure the trust of the edge service nodes is a serious challenge facing the security of edge computing. Therefore, the research target of this paper is to establish the mutual trust relationship between users and edge service nodes and to formulate dynamic access control strategies. While realizing user security and trustworthiness in the edge environment, it also ensures the trustworthiness of service nodes. The research content of this paper is the access control model of mutual trust between nodes and users in the edge computing environment. This model closely combines trust management with the RBAC (Role Based Access Control) model. Given the multi-domain characteristics of the edge computing environment, the intra-domain access control and cross-domain access control strategies based on mutual trust are implemented, which realizes the improvement and expansion of the RBAC model in the edge computing environment. The performance of EUSMTM is compared and analyzed through simulation experiments, and the validity of the trust model between users and edge servers is verified. Then through the comparative experiment of two-way trust and one-way trust between edge users and edge servers, the advantages of access control based on two-way trust in the EUSMTM model are analyzed.

Beyond trust: why American classical jurists and economists could not love the corporation

Given the unconditional favour that scholars imbued with classical ideas should bestow on any manifestation of business freedom and entrepreneurial spirit, it was not a given that classical jurists and economists would join the ranks of those who in the late 19th century complained about the corporatisation of the American economy. The usual explanation is that they did so out of doctrinal and practical concerns for the effect of the associated rise of monopolies and trusts. A complementary account exists, however, offered by law historians and based on the doctrinal controversies about the true nature of corporations triggered by the famous Santa Clara decision (1886) of the US Supreme Court. The paper casts new light on the latter account by uncovering those aspects of classical economics that made it impossible for its supporters – economists and jurists alike – to unreservedly support the corporate form before and beyond the trust problem.

Artificial Intelligent Systems and the Problem of “Natural” Trust

The development of AI technologies has heightened the problem of humanitarian challenges at all levels of social regulations. Ethical issues and, in particular, the problem of trust have become relevant to the field of high technology, given the fact that AI performs increasingly significant managerial functions that previously could only be performed by humans. This issue is directly related to artificial intelligence systems, which have already been embodied in specific extensive projects. In this study, the authors analyze the concept of trust through the prism of technological development. For this purpose, the study presents an overview of historical and contemporary interpretations of the concept of trust and proves that this concept is relevant and necessary to control the risks that arise when integrating AI products into social life. The authors show that a rethinking of the concepts of ethics and morality in the new context is required. This is a necessary requirement for the creation of trusted AI and for the achievement of trust in human interaction with technology products. The authors conclude that it is necessary to build an interdisciplinary dialogue to integrate theory and practice from numerous fields. To do this, it is necessary to create a common knowledge base and a platform for communication between all stakeholders, but it is also important to create favorable conditions for sustainable and constructive interaction. Therefore, trust is a relevant concept that needs to be constructed in a multidimensional frame of reference that targets different stakeholders and also takes into account interaction between human and technology, in other words, at all levels and on all scales.

How Users can Solve the Trust Problem in the Digital Age

The digital age has brought new changes to both the production and dissemination of information, and these changes are both positive and negative. This paper focuses on the trust problems in information that has arisen in the digital age, analyses the problem of disinformation and the weakening influence of opinion leaders in the Internet environment from the perspective of users, and makes suggestions for improvement.

Cognitive and ethical reasons for the dissident movement in epidemiology

The article discusses several fundamental reasons for the emergence of such a significant phenomenon as the anti-vaccination movement. An attempt is made to classify these causes. The theory of the phases of the vaccination cycle by Robert Chen is presented. The theory of cognitive simplicity and the creation of illusory patterns to strengthen psychological control over a stressful situation was developed by Moscow anthropologist Alexandra Arkhipova. The decision to refuse vaccination is often accompanied by an inability to rank the risks and trust in pseudoscientific rumors. The level of distrust of citizens in government and healthcare, and, conversely, excessive trust in populist personalities, is also a significant reason for dissent in epidemiology. The article provides numerous examples from the history of smallpox, cholera and coronavirus epidemics. In conclusion, the article considers the problem of trust and mutual responsibility in society.

Cross-domain identity authentication scheme based on blockchain and PKI system

In vehicular ad hoc networks (VANET), the cross-domain identity authentication of users is very important for the development of VANET due to the large cross-domain mobility of vehicle users. The Public Key Infrastructure (PKI) system is often used to solve the identity authentication and security trust problems faced by VANET. However, the PKI system has challenges such as too centralized Authority of Certification Authority (CA), frequent cross-domain access to certificate interactions and high authentication volume, leading to high certificate management costs, complex cross-domain authentication paths, easy privacy leakage, and overburdened networks. To address these problems, this paper proposes a lightweight blockchain-based PKI identity management and authentication architecture that uses smart contracts to reduce the heavy burden caused by CAs directly managing the life cycle of digital certificates. On this basis, a trust chain based on smart contracts is designed to replace the traditional CA trust chain to meet the general cross-domain requirements, to effectively avoid the communication pressure caused by a mass of certificate transmissions. For the cross-domain scenario with higher privacy and security requirements the identity attribute authentication service is provided directly while protecting privacy by using the Merkle tree to anchor identity attribute data on and off the blockchain chain. Finally, the proposed scheme was comprehensively analyzed in terms of cost, time consumption and security.

BEHAVIORAL INSTITUTIONS OF THE DIGITAL ECONOMY: IMPACT ON HUMAN BEHAVIOR, TRANSFORMATION OF PROPERTY RELATIONS AND LEVELS OF TRUST

Goal. The article discusses the main features of behavioral economics as a new section of economic theory. The new direction in theory is a reflection of the actual change in the model of human behavior, the impact of the digital economy on the individual and the transformation of property relations under the influence of the market environment, which brings to the fore the issues of recognition of rules, the definition of reputation as a level of trust and economic ethics. It is shown that serious shifts in property relations in the behavioral economy act as evidence of the profound nature of the changes in the institution of property rights under the influence of ethical, social, psychological and other behavioral assumptions in economic behavior. Methodology. The study is based on dialectics as a scientific and philosophical method of knowledge, a systematic approach, analytical and expert economic method. First of all, behavioral economics relies on observation and experimentation. A distinctive feature of modern research methods has been the development of an economic model of human behavior based on and influenced by empirical facts collected in the field of behavioral and experimental economics. In essence, the paper uses an interdisciplinary methodology, formed by the efforts of both economists and psychologists, is an example of productive interaction between theoretical and experimental sciences. Results. The article systematically and comprehensively analyzes the specificity of behavioral institutions inherent in the digital economy. It has been revealed that academic economists have come to the realization that not only economic, but also all social institutions, the system of norms and rules, moral values are not only important, but vital for the transformation of all types of property, at the same time the role of the institute of property rights is increasing. It is proved that moral norms are not enough to ensure a climate of trust in the economy. It has been argued that it is especially important to minimize transactional losses by achieving a high level of trust of all agents in the leading economic institutions in conditions of decline in economic and business activity. Scientific novelty. Theoretically proved that behavioral economics is formed as a new intellectual platform of scientific community, a new type of scientific thinking, explicitly taking into account psychological, moral and other behavioral assumptions in economic behavior. It is proved that today the digital economy fundamentally changes the model of the institution of property rights, forms innovative business models, which become an important core of behavioral economics. It is indicated that trust forms the reputation of the subjects and institutions of the behavioral economy. Practical Significance. The practical conclusions of the article are that behavioral economics is a new and promising area of research, which has proposed a completely new model of the individual in the economy and has largely changed the view of modern economic science. Behavioral economics has shown and proved how much human behavior in real life deviates from ideal rational behavior. The reasons for modification of the human model in economics under the influence of various economic, social, psychological and other factors are given. In behavioral economics the problem of formation of new forms of realization of institute of property rights is actual, and any paradigm of behavioral economics should solve the problem of trust in interrelations between economic subjects in preservation of property rights system.

Trust in Edge-based Internet of Things Architectures: State of the Art and Research Challenges

The Internet of Things (IoT) aims to enable a scenario where smart objects, inserted into information networks, supply smart services for human beings. The introduction of edge computing in IoT can reduce the decision-making latency, save bandwidth resources, and expand the cloud services to be allocated at the network’s edge. However, edge-based IoT systems currently face challenges in their decentralized trust management. Trust management is essential to obtain reliable mining and data fusion, improved user privacy and data security, and provisioning of services with context-awareness. In this survey, we first examine the edge-based IoT architectures currently reported in the literature. Then a complete review of trust requirements in edge-based IoT systems is produced. Also, we discuss about blockchain as a solution to solve several trust problems in IoT and analyze in detail the correlation between blockchain and edge computing. Finally, we provide a detailed analysis of performance aspects of trusted edge-based IoT systems and recommend promising research directions.

Research on Methods to Enhance User Stickiness in Online Healthcare Platforms - A Case Study Based on Yilu

As the population grows in China, the proportion of national spending on healthcare has increased, which promoted the development of China's internet healthcare industry. However, the number of active users in China's Internet healthcare industry is not desirable. Many users still have trust problems with online medical consultations. User stickiness and usage rates have become one of the challenges of the current Internet healthcare platforms. This paper uses Ali Health as an example to examine ways in which online healthcare platforms can enhance user stickiness. By using the case study method, it is found that there are only three ways for Yilu to enhance user stickiness. From the perspective of traffic drainage, Yilu can expand its business to multiple platforms by taking advantage of the parent company's advantages and actively innovating traffic drainage methods. Emotionally resonate with users and attracts more users. From the perspective of products, Yilu uses a series of comprehensive high-quality services, and reliable products like its medicines to increase its user stickiness. From an operational point of view, Yilu's WeChat community, membership system, and points system can also help enhance their user stickiness. Through research on Yilu's method of enhancing user stickiness, it can provide a reference for other enterprises in China’s Internet medical industry to meet users' needs, continuously improve platform services, and ultimately achieve healthy industry development.

Peer-to-peer energy trading and smart contracting platform of community-based virtual power plant

Traditional centralized transactions require a control center for user demand matching, settlement and other processes. However, with the increase in the penetration rate of distributed energy in the community, the explosive increase in the number of transactions leads to a decrease in efficiency and it is difficult to guarantee user privacy and information security. The smart contract technology based on blockchain technology has the characteristics of decentralization, traceability and tamper resistance, and these key factors show unique advantages in distributed energy transactions. This paper explores Ethereum and smart contract technology, designs a peer-to-peer energy sharing mechanism with reward and punishment incentives and establishes a smart contract trading platform for smart community-based virtual power plant (CVPP). This paper verifies the functionality and effectiveness of smart contract. The results show that when the supply and demand ratio changes, the user can conduct energy transactions according to the contract without a third-party organization, which solves the problem of trust between the two parties and achieves the expected effect and runs successfully. In addition, the simulation results show that the peer-to-peer transaction based on smart contracts reduces the energy cost per household and increases the total benefit of CVPP.

The Word “Expert” in Russian Media Discourse: Semantics and Pragmatics in Conditions of Uncertainty

The semantics of the word “expert” in the Russian language media space and the pragmatics of introducing expert commentary into a media text are studied using the method of content analysis and discourse analysis of expert media content. The studied media content includes interviews with experts on YouTube; expert comments introduced into the journalistic text of the leading socio-political mass media and online lifestyle media, which are in the top 10 according to Mediascope, as well as expert channels in Telegram. The method of associative experiment revealed the value-evaluative meanings attached to the word expert in the linguistic consciousness of journalism students. The relevance of the study is conditioned by the explosive increase in the use of the word expert in the Russian-language media space in the last two years, the increasing flow of requests for expert opinions on digital platforms, and the involvement of more and more humanities students in expert discourse in response to the media sphere’s demand for the formation of a stable picture of the world. The novelty of this article is predetermined by the material itself, which has not been systematically analyzed before, as well as by the approach to the research. The study has shown that in the conditions of socio-political instability and uncertainty of the future, the main function of the expert is to interpret events and orient in the modern world, which is expressed in the frequent combination of the word with verbs of speaking: explained, interpreted, analyzed. At the same time, the content of the concept of expert in the young generation of journalists is associated with such notions as high social status, communicative leadership, and realization in the media space, i. e. with those that describe a modern person immersed in the info-newsletter, an information specialist. The pragmatic element of the increase of expert media content in the media is connected, on the one hand, with the problem of media fake news, which was aggravated with the onset of the pandemic and special military operation (SMO), the problem of trust in the media, and, on the other hand, with the need for journalists to resort to the interpretation of an increasingly complex and turbulent world.

Digital technologies in educational interactions: the problem of trust

Digital technologies in educational interactions: the problem of trust

A Blockchain-Based Wide-Area Agricultural Machinery Resource Scheduling System

<b>Highlights</b> <list list-type=bullet><list-item> The proposed system aims to reduce the high cost of wide-area agricultural production caused by the uneven distribution of agricultural machinery resources in different regions. </list-item><list-item> The proposed system solves the current problem that differences in business models in different regions make it hard to establish a centralized dispatching platform. It can also improve the utilization rate of agricultural machinery and solve the trust problem between the participants. </list-item><list-item> We implement our system on Hyperledger Fabric that meets the needs of all farmers in a wide area for agricultural machinery resources. </list-item></list> <b>Abstract.</b> At present, there are mainly two forms of agricultural machinery scheduling in China, intra-region scheduling and wide-area scheduling. The former can only schedule agricultural machinery within a region, while the latter can schedule agricultural machinery among multiple regions in the global scope to solve the problem of uneven regional distribution of agricultural machinery resources. However, the different business models in different regions make it hard to establish a centralized scheduling platform. The agricultural machinery resources of individual farmers cannot be fully utilized, and the parties involved in the scheduling lack trust. To address these issues, this article proposes a blockchain-based wide-area agricultural machinery resource scheduling system and agricultural machinery scheduling optimization model. In this article, a smart contract based on hybrid algorithm is deployed on the blockchain. The information of agricultural machinery resources is stored in the interplanetary file system (IPFS), and the returned addresses and scheduling matching results are stored on the blockchain. Then, the proposed system implements an authenticated access mechanism, and only authorized users can join the system. In addition, the data on the blockchain cannot be altered, which ensures the security of the data. Finally, the Hyperledger Fabric blockchain is used as the experimental platform to conduct performance experiments in two towns in China. The results indicate that the proposed method can reduce the cost of wide-area agricultural production and improve the utilization rate of agricultural machinery resources. This article also puts forward suggestions on the quantity of agricultural machinery to be purchased.

Digital identity, privacy security, and their legal safeguards in the Metaverse

The Metaverse is the digitization of the real world, supported by big data, AI, 5G, cloud computing, blockchain, encryption algorithm, perception technology, digital twin, virtual engine, and other technologies that interact with human behavior and thoughts in avatars through digital identity. Cracking the trust problem brought by the avatar depends on the privacy security and authentication technology for individuals using digital identities to enter the Metaverse. To accomplish personal domination of the avatar, metaverse users need privacy data feeding and emotion projection. They must be equipped with proprietary algorithms to process and analyze the complex data generated in adaptive interactions, which challenges the privacy security of user data in the Metaverse. Distinguishing the significance of different identifiers in personal identity generation while imposing different behavioral regulatory requirements on data processing levels may better balance the relationship between personal privacy security and digital identity protection and data utilization in the Metaverse. In response to digital identity issues, there is an objective need to establish a unified digital identity authentication system to gain the general trust of society. Further, the remedies for a right to personality can be applied to the scenario of unlawful infringement of digital identity and privacy security.