اشتراک مشارکت داده های خصوصی مشروط هوشمند
ترجمه نشده

اشتراک مشارکت داده های خصوصی مشروط هوشمند

عنوان فارسی مقاله: اشتراک مشارکت داده های خصوصی مشروط هوشمند
عنوان انگلیسی مقاله: Intelligent conditional collaborative private data sharing
مجله/کنفرانس: سیستم های کامپیوتری نسل آینده – Future Generation Computer Systems
رشته های تحصیلی مرتبط:  مهندسی فناوری اطلاعات، مهندسی کامپیوتر
گرایش های تحصیلی مرتبط:  شبکه های کامپیوتری، هوش مصنوعی
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.future.2019.01.001
دانشگاه: CNIT - University of Rome Tor Vergata, Italy
صفحات مقاله انگلیسی: 32
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 5.341 در سال 2017
شاخص H_index: 85 در سال 2019
شاخص SJR: 0.844 در سال 2017
شناسه ISSN: 0167-739X
شاخص Quartile (چارک): Q1 در سال 2017
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E12050
فهرست مطالب (انگلیسی)

Abstract

1. Introduction

2. Models and preliminaries

3. Proposed approach

4. Use case example

5. Performance evaluation

6. Conclusion

Acknowledgments

References

بخشی از مقاله (انگلیسی)

Abstract

With the advent of distributed systems, secure and privacy-preserving data sharing between different entities (individuals or organizations) becomes a challenging issue. There are several real-world scenarios in which different entities are willing to share their private data only under certain circumstances, such as sharing the system logs when there is indications of cyber attack in order to provide cyber threat intelligence. Therefore, over the past few years, several researchers proposed solutions for collaborative data sharing, mostly based on existing cryptographic algorithms. However, the existing approaches are not appropriate for conditional data sharing, i.e., sharing the data if and only if a pre-defined condition is satisfied due to the occurrence of an event. Moreover, in case the existing solutions are used in conditional data sharing scenarios, the shared secret will be revealed to all parties and re-keying process is necessary. In this work, in order to address the aforementioned challenges, we propose, a “conditional collaborative private data sharing” protocol based on Identity-Based Encryption and Threshold Secret Sharing schemes. In our proposed approach, the condition based on which the encrypted data will be revealed to the collaborating parties (or a central entity) could be of two types: (i) threshold, or (ii) pre-defined policy. Supported by thorough analytical and experimental analysis, we show the effectiveness and performance of our proposal.