Title :
Integrity Verification of Outsourced Frequent Itemset Mining with Deterministic Guarantee
Author :
Boxiang Dong ; Ruilin Liu ; Wang, W.H.
Author_Institution :
Dept. of Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
In this paper, we focus on the problem of result integrity verification for outsourcing of frequent item set mining. We design efficient cryptographic approaches that verify whether the returned frequent item set mining results are correct and complete with deterministic guarantee. The key of our solution is that the service provider constructs cryptographic proofs of the mining results. Both correctness and completeness of the mining results are measured against the proofs. We optimize the verification by minimizing the number of proofs. Our empirical study demonstrates the efficiency and effectiveness of the verification approaches.
Keywords :
cryptography; data mining; program verification; cryptographic proofs; deterministic guarantee; integrity verification approach; outsourced frequent item set mining; service provider; Complexity theory; Cryptography; Data mining; Itemsets; Optimization; Protocols; Servers; Cloud computing; Data-mining-as-a-service; frequent itemset mining; integrity verification;
Conference_Titel :
Data Mining (ICDM), 2013 IEEE 13th International Conference on
Conference_Location :
Dallas, TX
DOI :
10.1109/ICDM.2013.81