一种有效的加密重复数据删除方案,在边缘计算中具有安全增强的所有权证明

Yukun Zhou , Zhibin Yu , Liang Gu , Dan Feng
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引用次数: 5

摘要

随着物联网的快速发展,相关文件在网络边缘存储和传输,通过重复数据删除技术消除冗余数据,以达到最佳的可访问性。重复数据删除虽然可以提高存储效率和网络效率,但会降低安全强度和性能。现有方案通常采用消息锁定加密(message-locked encryption, MLE)对数据进行加密,容易受到暴力攻击。同时,这些方案利用所有权证明(PoW)来防止重复伪造攻击,同时遭受重放攻击或产生大量计算开销。SE-PoW是一种高效、位置感知的混合加密重复数据删除方案,在边缘计算中具有双重安全增强的所有权证明。SE-PoW首先使用边缘间服务器辅助随机收敛加密(RCE)方法加密文件,然后使用边缘内边缘辅助MLE方法保护块,以平衡安全性和系统效率。为了防止重复伪造攻击和重放攻击,SE-PoW采用了双级PoW算法。然后将布谷鸟滤波器的验证与代数签名的同态序列验证相结合,增强了安全性,提高了所有权检查效率。安全性分析表明,SE-PoW能够保证数据安全,抵御上述攻击。评估结果表明,与最先进的方案相比,SE-PoW可减少61.9%的上传时间开销。
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An efficient encrypted deduplication scheme with security-enhanced proof of ownership in edge computing

With the rapid expansion of Internet of Things (IoT), relevant files are stored and transmitted at the network edge by employing data deduplication to eliminate redundant data for the best accessibility. Although deduplication improves storage and network efficiency, it decreases security strength and performance. Existing schemes usually adopt message-locked encryption (MLE) to encrypt data, which is vulnerable to brute-force attacks. Meanwhile, these schemes utilize proof-of-ownership (PoW) to prevent duplicate-faking attacks, while they suffer from replay attacks or incur large computation overheads. This paper proposes SE-PoW, an efficient and location-aware hybrid encrypted deduplication scheme with a dual-level security-enhanced Proof-of-Ownership in edge computing. Specifically, SE-PoW firstly encrypts files with an inter-edge server-aided randomized convergent encryption (RCE) method and then protects blocks with an intra-edge edge-aided MLE method to balance security and system efficiency. To resist duplicate-faking attacks and replay attacks, SE-PoW performs the dual-level PoW algorithm. Then it combines the verification of a cuckoo filter and the homomorphism of algebraic signatures in sequence to enhance security and improve ownership checking efficiency. Security analysis demonstrates that SE-PoW ensures data security and resists the mentioned attacks. Evaluation results show that SE-PoW reduces up to 61.9% upload time overheads compared with the state-of-the-art schemes.

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