Secure Data Deduplication with Resistance to Side-Channel Attacks via Fog Computing

2020 
Deduplication could greatly save the storage overhead of cloud server by eliminating duplicated data and retaining one copy. In order to ensure the data privacy, many researchers try to make deduplication feasible in ciphertext. A typical scheme is message-locked encryption (MLE) which takes cryptographic hash value of message as encryption key. However, MLE is vulnerable to side-channel attacks. To our knowledge, the existing schemes try to mitigate these attacks with either security drawbacks or expensive overhead. In this paper, we propose two new techniques to solve two typical side-channel attacks named probe attack and key-cache attack via fog computing with new security and efficiency tradeoffs. Built on the new techniques, we propose a secure data deduplication system in fog computing environment. Our evaluation shows that our system has better performance compared with previous works.
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