Digital Identity Management

Since the Internet of Things (IoT) will be entwined with everything we use in our daily life, the consequence of security flaws escalates. Smart objects will govern most of the home appliances and car engines yielding potential disaster scenarios. In this context, successful attacks could lead to chaos and scary scenarios (www.darkreading.com). Unprotected personal information may expose sensitive and embarrassing data to the public and attacks may threaten not only our computers and smart devices, but our intimacy and perhaps our lives too. Because persons and objects will be bonded with each other, user consent becomes critical. Therefore, thing, object, and user Identity will be the focus of future IoT security solutions, yielding a Trust, Security, and Privacy (TSP) paradigm, which may constitute the Achilles' heel of IoT. While security issues are quite straightforward, mainly from background knowledge, privacy issues are far more complex. Privacy constitutes a rather challenging task, even for the m...

Digital Identity Management in Formal Education offers a broad analysis of the online self considered from educational policy, technological, legal and social perspectives. This book introduces the reader to the notion that digital identity is a multifaceted topic which requires a broad and systematic approach that is rooted in risk-based policy. It provides educational technologists, leaders and decision-makers with an accessible, jargon-free guide to their responsibilities towards students and instructors in today’s digitally networked schools and universities. Real-life examples illustrate how digital identities impact management and delivery, privacy and transactions, governance and accountability, and other interconnected choices in the use of technology-enabled services in formal learning.

As more and more activities and processes such as shopping, discussion, entertainment and business collaboration are conducted in the cyber world, digital identities, be them user names, passwords, digital certificates, or biometric features and digital identity management have become fundamental to underpinning accountability in business relationships, controlling the customization of the user experience, protecting privacy, and adhering to regulatory controls. In its broadest sense, identity management revolves around the enterprise process of adding or removing (provisioning) digital identity information and managing their authentication and associated access rights (policy) to information systems and applications (“access management”).

The exponential growth of the web and the use of social networks in our area, gave birth to a new concept called digital identity, it's all digital traces that can be left in the internet such as photos and various comments. However, these digital identities are exposed to many dangers such as phishing, fraud, cyber-crime and identity theft. However, with an interconnected world, it is important to know with whom we communicate. Hence, the weightiness of digital identities' security becomes obvious. In this paper we propose a secure identification approach using a model of digital identity recognition. To do so, we will develop an architecture that can identify users based on a certain number of parameters, such as: federated digital identity management and certification of digital identity.

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.

In this work, we study the use of digital credentials in an online digital identity management setting. We focus on the problem of users sharing their digital credentials with one another, a problem called the "transferability" or "lending" problem. Further, we present the detailed mathematics showing how non-transferability can be achieved through biometrics. By tying the physical identity of a user to their digital identity, we are better able to prevent users from sharing their credentials. Additionally, we extend our non-transferable digital identity management scheme by introducing a high-powered proxy. Our proxy is able to off-load the number of required computations from a user who is possibly accessing our system with a low-powered hand-held device.

Internet of Things (IoT) emerges as a possible solution to realize a smart life in the modern age. However, how to provide a transparent IoT service to fit users' needs and how to quickly develop smart services with flexibility and scalability are still problems. In this article, we present a novel NFC-driven home automation framework for IoT, which integrates the Wireless Sensor Network (WSN), Social Networks, and the Cloud Computing. Near Field Communication (NFC) technology provides a way for users to exchange information between them and the system by simply contacting. So, we propose to use NFC as the system drive in the framework, such that users can intuitively interact with the system and deliver their intentions. Then, the corresponding service over the framework will control or adjust the “things” at home to fit users' needs. Furthermore, the proposed framework provides a platform for developers to easily and rapidly implement their home automation related services. In the framework, WSN sensing and control, NFC communications and identification, user profile management and preference analysis, and social network integration are all provide as platform services. Application developers are allowed to skip these details. The framework can be applied on Home Automation and Elderly Care. Take Home Automation as an example, we will show how the framework works for home automation, secure house, and social network sharing.

A walkthrough of the emerging IoT paradigm: Visualizing inside functionalities, key features, and open issues

Intelligent approaches for security technologies

On the interplay of Internet of Things and Cloud Computing: A systematic mapping study

An effective interaction between the Social Network Services (SNS) and Cloud Computing (CC) enables the connection of people to the ubiquitous computing universe. The integration of SNS and CC is a technological revolution that presents the future of connectivity and reachability. This study explores the novel paradigm for future Internet of Things (IoT). Although there have been some studies in social-driven IoT, they merely consider the CC technique to improve service qualities and influences. In this study, S. Kim develops a novel cloud based SNS control scheme based on the reinforcement learning approach. To maximize the total SNS system performance, social services have been adaptively executed in the cloud system while taking into account the social welfare. This study can capture the properties of SNS and CC, and provides an effective solution for the social cloud system.

This paper explores the integration of blockchain technology and smart contracts in the development of nextgeneration digital identity solutions. As the demand for secure, privacy-preserving, and user-centric identity management systems increases, blockchain and smart contracts offer a promising framework that enhances transparency, automation, and user control. We outline the methodology employed to assess the effectiveness of blockchain and smart contracts in digital identity management, focusing on aspects such as security, interoperability, and user empowerment. Through comprehensive data analysis, we present the results of our study, demonstrating the potential benefits and challenges associated with implementing blockchain-based identity systems augmented by smart contracts. Our findings contribute to the ongoing discourse on digital identity and provide insights for future research and practical applications.

Current approaches to managing digital identities struggle to meet the demands of ongoing digital transformation. They either create fragmented identities tied to specific online services, making it difficult for users to manage, or they raise concerns about being locked into corporate identity providers and data protection issues. Additionally, they provide limited support for machine-verifiable identity attributes. This reliance on third parties for managing machine identities can put companies at a market disadvantage. Therefore, there is a pressing need for a unified identity management solution that allows for the portable and interoperable use of verifiable identity data across services. The recently announced European Digital Identity Wallet marks a significant step forward in digital identity management. This initiative aims to provide EU citizens with a unified, secure, and convenient way to access both public and private online services, thereby enhancing the efficiency and security of digital interactions and prioritizing user needs. Self-sovereign identity (SSI) forms the basis for such a wallet-based identity ecosystem that supports electronic market growth. However, as a relatively new concept, SSI still lacks a unified theoretical analysis and a thorough exploration of its value propositions for digital ecosystems and networked businesses.

Big data to use JAVA, group software engineering, networking, cloud computing knowledge and technology. The purpose of this paper is Research on Wireless sensor network of the Internet of things. The Internet of things, mainly includes multicast network, ZIGBEE network, WSN network, Bluetooth network, infrared network and so on. Swarm software engineering is a way to implement cloud computing, Internet of things and big data. Cloud computing comes from big data, the Internet of things can be achieved through cloud computing. This paper mainly studies, computers, software, networks, smart cities, and the use of Excel and Matlab and Microsoft Office Visio 2003 mapping and so forth. And through the practice of research methods, including automotive networking and smart city. What is the Internet of things, objects connected to the Internet is the Internet of things, cup networking, car networking. Things better than other networks, is composed of what objects, what composition, what nature, what innovation and superiority. The four key technologies of the Internet are widely used, and these four technologies are mainly RFID, WSN, M2M, two kinds of integration. RFID can be implemented using MATLAB, NS2, and JAVA, and WSN can be implemented using NS2, and M2M can be developed using JAVA. The research results are that the Internet of things originated and developed in the Internet; on the contrary, the development of the Internet of things further promoted the Internet to a more widespread “Internet” evolution. The Internet of things and the Internet are the relationships between the parent and the child. Wireless networks are just like wireless WSN networks, but wireless nodes are fixed and moved into sensors. The Internet of things includes Internet technology, including wired and wireless networks. The research conclusion is the wireless internet of things are just like the wired internet of things, wired provides the basis for Wireless Research. Baidu Tiangong Internet of things platform, Amazon AWS platform, ERP and so on are also important applications of the Internet of things. The use of mirroring and replication software also requires Internet of things. Video is composed of multi frame images. H.264 and JM encoder are also the future directions. Where to go network Ctrip network is the application of the Internet of things. Recalling what we do today, planning tomorrow, how to spend the university stage and predicting the future of university development can be the application of the Internet of things. I visited the Tangshan Rd. Mart store in Qian’an from January 2017 to March. The feeling is that Beijing is still Carrefour and Jing Kelong and WAL-MART and Hualian. The electricity supplier which Ma Yun’s Alibaba still feels more powerful. Now Hebei province and all parts of the country have venture capital and subsidy, which will undoubtedly promote the Internet of things.

Technologies such as cloud, fog, and edge computing offer exceptional solutions for many technical problems in the Internet of Things (IoT). Cloud computing offers enormous flexibility in terms of resource availability and demand. In this paper, the role of cloud, edge, and fog computing in IoT was discussed along with the emergence of numerous IoT smart scenarios which are difficult to implement. This research is important in guiding future network paradigms that require faster processing with less delay and disruption, and the advanced technologies in them can address the challenges of IoT. It also reviews cloud, fog, and edge computing and their relevance to the IoT.