| مشخصات مقاله | |
| ترجمه عنوان مقاله | VAIM: مدیریت هویت ناشناس قابل تأیید برای امنیت و حریم خصوصی انسان محور در اینترنت اشیا |
| عنوان انگلیسی مقاله | VAIM: Verifiable Anonymous Identity Management for Human-centric Security and Privacy in the Internet of Things |
| انتشار | مقاله سال ۲۰۲۱ |
| تعداد صفحات مقاله انگلیسی | ۱۶ صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه IEEE |
| نوع نگارش مقاله |
مقاله پژوهشی (Research article) |
| مقاله بیس | این مقاله بیس نمیباشد |
| نمایه (index) | Scopus – Master Journals List – JCR – DOAJ |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| ایمپکت فاکتور(IF) |
۳٫۳۶۷ در سال ۲۰۲۰ |
| شاخص H_index | ۱۲۷ در سال ۲۰۲۰ |
| شاخص SJR | ۰٫۵۸۷ در سال ۲۰۲۰ |
| شناسه ISSN | ۲۱۶۹-۳۵۳۶ |
| شاخص Quartile (چارک) | Q2 در سال ۲۰۲۰ |
| فرضیه | ندارد |
| مدل مفهومی | ندارد |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | دارد |
| رشته های مرتبط | مهندسی فناوری اطلاعات، کامپیوتر |
| گرایش های مرتبط | رایانش ابری، هوش مصنوعی، اینترنت و شبکه های گسترده |
| نوع ارائه مقاله |
ژورنال |
| مجله / کنفرانس | IEEE Access |
| دانشگاه | Department of Software Convergence, Soonchunhyang University, South Korea |
| کلمات کلیدی | مدیریت هویت ناشناس، اینترنت اشیا با محوریت انسان، ارائه دهنده خدمات عضویت، حریم خصوصی، اعتبار قابل تأیید |
| کلمات کلیدی انگلیسی | Artificial intelligence – Autonomy – Environmental sustainability – Corporate social responsibility – Green purchasing – Robotic |
| شناسه دیجیتال – doi |
https://doi.org/10.1109/ACCESS.2021.3080329 |
| کد محصول | E15869 |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
| Abstract Introduction Related work Preliminary Implementation Analysis conclusion References |
| بخشی از متن مقاله: |
| ABSTRACT The human internet of things (HIoT) is a promising trend that adopts a user-centered vision to improve life quality by interacting with heterogeneous physical and virtual entities and the internet. However, It refers to exchanging contextual data between collaborative entities that raise privacy concerns. Emerging blockchain technology allows a digital identity management system (IDM) to be deployed in it, which largely alleviates the problems caused by the centralized third party. Still, its inherent transparency and lack of privacy pose a considerable challenge to IDM. We propose verifiable anonymous identity management (VAIM) connecting privacy channels between users by constructing identity verification and access control provisioning via user-centric decisions and an anonymous identity management system. This work has the following contributions: (1) We establish a novel IDM system by analyzing the existing scheme. In this regard, we improve the traditional claim identity model in blockchain by implementing zero-knowledge proof (ZKP) algorithms to achieve identity unlinkability, essentially preventing the disclosure of attribute ownership. (2) We implement a system that includes blind ordered multi-signature (BOMS) protocol, which allows users to processes efficiently and trusts the verification of anonymous transactions. (3) Finally, specific ZKP-based algorithm (commonly used practical ZKP such as Camenisch and Lysyanskaya signature (CL-Signature) and zero-knowledge succinct non-interactive argument of knowledge (ZK-SANRKS)) implementation and various environment performance evaluation and security analysis show that our scheme achieves efficient privacy protection and a broader application scope compared with the prior model. To the best of our knowledge, existing zero-knowledge proof-based IDM has not developed or compared each scheme before. INTRODUCTION The internet of things (IoT) is dominated by massive amounts of content-oriented traffic, intensive interactions between numerous people, and heterogeneous communication between hosts and smart entities [1]. It requires millions of services with stringent real-time requirements and flexibility to connect everyone and everything. Nevertheless, consumption of IoT products and services remains above expectations [2]. Users are the essential entities in IoT systems because they are both data sources and consumers. Therefore, the human-centric internet of things (HIoT) is a promising trend that adopts a user-centered vision to improve life quality by interacting with heterogeneous physical and virtual entities and the internet. Miranda et al. [3] defined the internet of people (IoP) as easily integrated into the IoT and bringing the IoT closer to people to utilize its benefits fully. |