TY - GEN
T1 - k-ARQ
T2 - 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010
AU - Jung, Eunjin
AU - Ahn, Sukhyun
AU - Hwang, Seung Won
PY - 2010
Y1 - 2010
N2 - With the advent of an unprecedented magnitude of data, top-k queries have gained a lot of attention. However, existing work to date has focused on optimizing efficiency without looking closely at privacy preservation. In this paper, we study how existing approaches have failed to support a combination of accuracy and privacy requirements and we propose a new data publishing framework that supports both areas. We show that satisfying both requirements is an essential problem and propose two comprehensive algorithms. We also validated the correctness and efficiency of our approach using experiments.
AB - With the advent of an unprecedented magnitude of data, top-k queries have gained a lot of attention. However, existing work to date has focused on optimizing efficiency without looking closely at privacy preservation. In this paper, we study how existing approaches have failed to support a combination of accuracy and privacy requirements and we propose a new data publishing framework that supports both areas. We show that satisfying both requirements is an essential problem and propose two comprehensive algorithms. We also validated the correctness and efficiency of our approach using experiments.
UR - http://www.scopus.com/inward/record.url?scp=78650495007&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650495007&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12026-8_32
DO - 10.1007/978-3-642-12026-8_32
M3 - Conference contribution
AN - SCOPUS:78650495007
SN - 3642120253
SN - 9783642120251
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 414
EP - 428
BT - Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, Proceedings
Y2 - 1 April 2010 through 4 April 2010
ER -