التفاصيل البيبلوغرافية
| العنوان: |
Trusted sharing of cross-domain intelligence based on data objects |
| المؤلفون: |
Tai PENG, Jing SUN, Xujian CHEN, Xian ZHOU, Yuming YE, Xiaoying BAI |
| المصدر: |
大数据, Vol 9, Pp 44-58 (2023) |
| بيانات النشر: |
China InfoCom Media Group, 2023. |
| سنة النشر: |
2023 |
| المجموعة: |
LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: |
trusted sharing, data object, intelligence analysis, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: |
Intelligence data, as a high-value data asset, is stored on different platforms and held by different subjects, and has the characteristics of high dispersion and low availability.Due to the different structural forms and storage methods, it is non-trivial to achieve efficient aggregation and sharing of multi-source heterogeneous intelligence data, and there are great difficulties in the fusion and comprehensive analysis and utilization of intelligence information among multiple subjects.Therefore, there is an urgent need to establish a secure and trustworthy sharing and interoperability mechanism among cross-domain intelligence subjects to meet management requirements such as data validation and security auditing, while realizing correlation analysis and cross-validation of intelligence information and deeply mining the intelligence value therein.To address the needs and application characteristics of cross-domain intelligence data trustworthy sharing, this paper proposes a data object-based intelligence management method and adopts the digital object architecture and blockchain trusted access control technology to build a cross-domain intelligence data trustworthy sharing system, realizing the view unification and cross-domain trustworthy sharing of multisource heterogeneous intelligence data, providing technical support for intelligence data fusion and convergence and intelligence information intelligent analysis, and fully exploiting the huge potential of intelligence information.This will provide technical support for intelligence data convergence and intelligent analysis, and fully exploit the huge potential of intelligence information. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
Chinese |
| تدمد: |
2096-0271 |
| Relation: |
http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2023049; https://doaj.org/toc/2096-0271 |
| DOI: |
10.11959/j.issn.2096-0271.2023049 |
| URL الوصول: |
https://doaj.org/article/8c482427a4af446fa6f94a7a83f4b39d |
| رقم الانضمام: |
edsdoj.8c482427a4af446fa6f94a7a83f4b39d |
| قاعدة البيانات: |
Directory of Open Access Journals |