@inproceedings{781ff286d41e4d73a695565b48455502,
title = "A Public Auditing Scheme with Data Recovery",
abstract = "In order to solve the integrity verification of outsourced file in cloud, we based on the concept of regenerating code (RC) to propose a new public auditing scheme with data recovery in this paper. With the advantage of RC, our scheme provides a (k,n) recovery functionality, i.e., only encoded data blocks from any k cloud servers, user can recover the original data files, where n denotes the total number of cloud servers and k ≤ n.",
keywords = "Bilinear pairing, Data recovery, Public audit, Regenerating code",
author = "Wu, \{Tsu Yang\} and Chen, \{Chien Ming\} and Wang, \{King Hang\} and Wu, \{Jimmy Ming Tai\} and Pan, \{Jeng Shyang\}",
note = "The work of Tsu-Yang Wu was supported in part by the Science and Technology Development Center, Ministry of Education, China under Grant no. 2017A13025 and the Natural Science Foundation of Fujian Province under Grant no. 2018J01636. The work of Chien-Ming was supported in part by Shenzhen Technical Project (JCYJ20170307151750788) and in part by Shenzhen Technical Project (KQJSCX20170327161755). Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 12th International Conference on Genetic and Evolutionary Computing, ICGEC 2018, ICGEC 2018 ; Conference date: 14-12-2018 Through 17-12-2018",
year = "2019",
month = may,
day = "11",
doi = "10.1007/978-981-13-5841-8\_62",
language = "English",
isbn = "9789811358401",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "595--602",
editor = "Jeng-Shyang Pan and Shih-Pang Tseng and Bixia Sui and Lin, \{Jerry Chun-Wei\}",
booktitle = "Genetic and Evolutionary Computing",
address = "Singapore",
url = "https://link.springer.com/book/10.1007/978-981-13-5841-8",
}