Cloud Data Encryption and Authentication Based on Enhanced Merkle Hash Tree Method
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DOI:
10.32604/cmc.2022.021269
Publication Date:
2022-02-24T07:35:42Z
AUTHORS (6)
ABSTRACT
Many organizations apply cloud computing to store and effectively process data for various applications. The user uploads the in has less security due unreliable verification of integrity. In this research, an enhanced Merkle hash tree method effective authentication model is proposed multi-owner increase data. Hash applies leaf nodes with a tag non-leaf node contains table information child encrypt large provides efficient mapping easily identifies changes made proper structure. developed supports privacy-preserving public auditing provide secure storage system. owners upload edit using private key. An stores server splits it into batches. files requested by owner are audit third-party auditor applied during modification authenticate user. result shows that reduces encryption decryption time 2–167 ms when compared existing Advanced Encryption Standard Blowfish.
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