TY - GEN
T1 - Decentralized data integrity verification model in untrusted environment
AU - Hao, Kun
AU - Xin, Junchang
AU - Wang, Zhiqiong
AU - Jiang, Zhuochen
AU - Wang, Guoren
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.
PY - 2018
Y1 - 2018
N2 - Outsourced data, as an significant component of cloud service, has been widely used due to its convince, low overhead and high flexibility. To guarantee the integrity of outsourced data and reduce the computational overhead, data owner (DO) usually adopts a third party auditor (TPA) to execute verification scheme. However, handing over the verification of data to TPA may lead to security vulnerabilities since the TPA is not fully trusted. In this paper, we propose a novel solution for data integrity verification in untrusted outsourced environment. Firstly, we design a decentralized model based on blockchain, consisting by some collaborative verification peers (VPs). Based on our purposed model, we present an advanced data integrity verification algorithm, allowing DO stores and checks verification results by writing and retrieving the blockchain. Moreover, each VP maintains a replication of the entire blockchain to avoid maliciously tampering with. We evaluate our proposed approach on real outsourced data service scenario. Experimental results demonstrate that our proposed approach is efficient and effective.
AB - Outsourced data, as an significant component of cloud service, has been widely used due to its convince, low overhead and high flexibility. To guarantee the integrity of outsourced data and reduce the computational overhead, data owner (DO) usually adopts a third party auditor (TPA) to execute verification scheme. However, handing over the verification of data to TPA may lead to security vulnerabilities since the TPA is not fully trusted. In this paper, we propose a novel solution for data integrity verification in untrusted outsourced environment. Firstly, we design a decentralized model based on blockchain, consisting by some collaborative verification peers (VPs). Based on our purposed model, we present an advanced data integrity verification algorithm, allowing DO stores and checks verification results by writing and retrieving the blockchain. Moreover, each VP maintains a replication of the entire blockchain to avoid maliciously tampering with. We evaluate our proposed approach on real outsourced data service scenario. Experimental results demonstrate that our proposed approach is efficient and effective.
KW - Blockchain
KW - Collaborative
KW - Data integrity
KW - Decentralized
KW - Untrusted environment
UR - http://www.scopus.com/inward/record.url?scp=85051106940&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-96893-3_31
DO - 10.1007/978-3-319-96893-3_31
M3 - Conference contribution
AN - SCOPUS:85051106940
SN - 9783319968926
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 410
EP - 424
BT - Web and Big Data - Second International Joint Conference, APWeb-WAIM 2018, Proceedings
A2 - Cai, Yi
A2 - Ishikawa, Yoshiharu
A2 - Xu, Jianliang
PB - Springer Verlag
T2 - 2nd Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data, APWeb-WAIM 2018
Y2 - 23 July 2018 through 25 July 2018
ER -