TY - GEN
T1 - Integrity verification of cloud-hosted data analytics computations
AU - Wang, Hui
PY - 2012
Y1 - 2012
N2 - In this position paper, we present efficient and practical integrity verification techniques that check whether the un-trusted cloud has returned correct result of outsourced data analytics computations. We consider the computation of summation form that is used in a large class of machine learning and data mining problems. We discuss our verification techniques for both non-collusive and collusive malicious workers in MapReduce.
AB - In this position paper, we present efficient and practical integrity verification techniques that check whether the un-trusted cloud has returned correct result of outsourced data analytics computations. We consider the computation of summation form that is used in a large class of machine learning and data mining problems. We discuss our verification techniques for both non-collusive and collusive malicious workers in MapReduce.
KW - Cloud analytics as a service
KW - Cloud computing
KW - Integrity verification
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=84866876224&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84866876224&partnerID=8YFLogxK
U2 - 10.1145/2347673.2347678
DO - 10.1145/2347673.2347678
M3 - Conference contribution
AN - SCOPUS:84866876224
SN - 9781450315968
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 1st International Workshop on Cloud Intelligence, Cloud-I 2012
T2 - 1st International Workshop on Cloud Intelligence, Cloud-I 2012
Y2 - 31 August 2012 through 31 August 2012
ER -