...
首页> 外文期刊>Multimedia Tools and Applications >Deniably authenticated searchable encryption scheme based on Blockchain for medical image data sharing
【24h】

Deniably authenticated searchable encryption scheme based on Blockchain for medical image data sharing

机译:基于区块链的可分解认证可搜索的加密方案用于医学图像数据共享

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In the cloud applications of medical data based on blockchain, doctors and managers usually want to obtain image data shared by other healthcare institutions. To ensure the privacy and workability of the image data, it is necessary to encrypt plain image data, retrieve cypher data and verify the authenticity of the data. Public key authenticated searchable encryption (PAEKS) is an effective mechanism to realize the privacy and workability properties of data. However, the existing PAEKS schemes are unable to realize the identity privacy protection of the data owner, and the traditional blockchain system (such as the Bitcoin) cannot achieve these goals directly. To overcome the above drawback, we first present a deniably authenticated searchable encryption scheme for medical image data sharing (DASES) that is based on blockchain and deniably authenticated encryption technology. The DASES takes advantage of blockchain technology to ensure the non-tampered, unforgettable and traceability of the image data, and it also avoids the limitation of the blockchain's own storage and computing power. The DASES can not only withstand inside keyword guessing attack (IKGA) but also provide effective privacy protection and verify the authenticity of medical image data. Hence, it can better protect the privacy of data senders and provide stronger security. Next, we prove that the DASES satisfies the indistinguishability of the ciphertext and trapdoor. It is regrettable that the DASES is less efficient than related schemes in the literature, but its greatest strength is its ability to provide better identity privacy protection and stronger security.
机译:在基于区块链的医疗数据的云应用中,医生和管理人员通常希望获得由其他医疗机构共享的图像数据。为了确保图像数据的隐私和可加工性,必须加密普通图像数据,检索Cypher数据并验证数据的真实性。公钥经过身份验证可搜索的加密(PAEK)是实现数据的隐私和可加工性属性的有效机制。但是,现有的Peeks计划无法实现数据所有者的身份隐私保护,传统的区块链系统(例如比特币)无法直接实现这些目标。为了克服上述缺点,首先向基于区块链和可分解的验证加密技术的医学图像数据共享(DASE)呈现可分辨率认证的可搜索的加密方案。该分布利用区块链技术来确保图像数据的非篡改,难以忘的和可追溯性,并且还避免了区块链自己的存储和计算能力的限制。该酶不仅可以抵抗关键字猜测攻击(IKGA),还提供有效的隐私保护,并验证医学图像数据的真实性。因此,它可以更好地保护数据发件人的隐私并提供更强大的安全性。接下来,我们证明了该插入满足密文和陷阱的不可粘合性。令人遗憾的是,除了文献中的相关方案效率低于相关方案,但其最大的实力是其提供更好的身份隐私保护和更强大的安全能力。

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