• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 论文 • 上一篇    下一篇

云环境下基于秘密共享的海洋遥感影像认证方案

黄冬梅1,徐慧芳1,贺琪1,杜艳玲1,魏泉苗2   

  1. (1.上海海洋大学信息学院,上海 201306;2.国家海洋局东海信息中心,上海 200136)
  • 收稿日期:2015-11-04 修回日期:2016-03-29 出版日期:2017-08-25 发布日期:2017-08-25
  • 基金资助:

    国家自然科学基金(61272098);国家重点基础研究发展计划(2012CB316206);上海海洋大学科技发展专项基金(A2-0203-00-100210)

A secret sharing-based authentication scheme for
ocean remote sensing images in cloud environment

HUANG Dong-mei1,XU Hui-fang1,HE Qi1,DU Yan-ling1,WEI Quan-miao2   

  1. (1.College of Information,Shanghai Ocean University,Shanghai 201306;
    2.Information Center,East China Sea Branch of State Oceanic Administration,Shanghai 200136,China)
     
  • Received:2015-11-04 Revised:2016-03-29 Online:2017-08-25 Published:2017-08-25

摘要:

云存储模式的出现为海量海洋遥感影像的存储和管理带来了机遇,越来越多的用户选择将海洋遥感影像数据移植到云中,但云存储环境的开放性对海洋遥感影像数据的安全性提出了挑战。以保障云环境下海洋遥感敏感数据的安全性为前提,提出一种影像认证方案,将哈希函数与(k,n)门限秘密共享方法相结合,检测敏感区影像信息变化,并对加密前和恢复后的影像进行一致性验证,保护加密影像数据的机密性。同时,为避免n个子秘密中,因多于n-k个子秘密的篡改或丢失,造成敏感区影像不可恢复情况的发生,采用对敏感区影像进行分块的策略,对每个子影像块做进一步的秘密共享处理,以保证部分影像的无损恢复。实验对比分析表明,所提出的安全认证方案可以有效防止秘密恢复过程中的欺诈行为,同时可获得比传统方法更高的遥感影像云存储安全性。

关键词: 云存储, 海洋遥感影像, 敏感区影像, 秘密共享, 数据安全性

Abstract:

The emergence of cloud storage model has brought new opportunities to the storage and management of massive ocean remote sensing images, and more and more users choose to transfer their image data into the cloud, which brings challenges for image data security and usability due to the openness of cloud. We propose an image authentication scheme to protect the ocean remote sensing image confidentiality in cloud environment, which combines the Hash function with the (k, n) threshold secret sharing method to detect the changes of the image data in sensitive regions and verify the consistency between encrypted and recovered images. The sensitive-region image cannot be restored when more than n-k out of n sub-secrets get lost or tampered. To avoid this, we divide the sensitive region image into blocks, and implement secret sharing for each sub block, thus guaranteeing the lossless recovery of partial images and enhancing the availability of image data. Analysis on comparison experiments shows that the algorithm can effectively prevent fraud in the process of secret image recovery, and obtain higher cloud storage security for remote sensing images than traditional methods.

 

 

Key words: cloud storage, ocean remote sensing image, sensitive region image, secret sharing, data security