• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Internet of Things Journal, IEEE >Confused-Modulo-Projection-Based Somewhat Homomorphic Encryption—Cryptosystem, Library, and Applications on Secure Smart Cities
【24h】

Confused-Modulo-Projection-Based Somewhat Homomorphic Encryption—Cryptosystem, Library, and Applications on Secure Smart Cities

机译：基于困惑的模型投影的稍微同性恋加密 - 密码系统，图书馆和安全智能城市的应用

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the development of cloud computing, the storage and processing of massive visual media data has gradually transferred to the cloud server. For example, if the intelligent video monitoring system cannot process a large amount of data locally, the data will be uploaded to the cloud. Therefore, how to process data in the cloud without exposing the original data has become an important research topic. We propose a single-server version of somewhat homomorphic encryption cryptosystem based on confused modulo projection theorem named CMP-SWHE, which allows the server to complete blind data processing without seeing the effective information of user data. On the client side, the original data is encrypted by amplification, randomization, and setting confusing redundancy. Operating on the encrypted data on the server side is equivalent to operating on the original data. As an extension, we designed and implemented a blind computing scheme of accelerated version based on batch processing technology to improve efficiency. To make this algorithm easy to use, we also designed and implemented an efficient general blind computing library based on CMP-SWHE. We have applied this library to foreground extraction, optical flow tracking, and object detection with satisfactory results, which are helpful for building smart cities. We also discuss how to extend the algorithm to deep learning applications. Compared with other homomorphic encryption cryptosystems and libraries, the results show that our method has obvious advantages in computing efficiency. Although our algorithm has some tiny errors (10(-6)) when the data is too large, it is very efficient and practical, especially suitable for blind image and video processing.
机译：随着云计算的开发，大规模视觉媒体数据的存储和处理已逐渐转移到云服务器。例如，如果智能视频监控系统无法在本地处理大量数据，则数据将上传到云。因此，如何在云中处理数据而不暴露原始数据已成为一个重要的研究主题。我们提出了一种基于CMP-SWHE的混淆模电投影定理的单一服务器版本的若干同种式加密密码系统，这允许服务器完成盲目数据处理而不看到用户数据的有效信息。在客户端，原始数据通过放大，随机化和设置令人困惑的冗余来加密。在服务器端上的加密数据上操作相当于在原始数据上运行。作为扩展，我们基于批处理技术设计和实施了加速版本的盲计算方案，以提高效率。为了使该算法易于使用，我们还设计并实现了基于CMP-SWH的有效的一般盲计算库。我们已将此库应用于前景提取，光学流量跟踪和具有令人满意的结果的对象检测，这有助于构建智能城市。我们还讨论如何将算法扩展到深度学习应用程序。与其他同性恋加密密码系统和图书馆相比，结果表明，我们的方法在计算效率方面具有明显的优势。虽然我们的算法有一些微小的错误（10（-6））当数据过大时，它非常高效，实用，特别适用于盲目图像和视频处理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号