Authenticated indexing for outsourced spatial databases

• Published in: The VLDB journal Vol. 18; no. 3; pp. 631 - 648
• Main Authors: Yang, Yin, Papadopoulos, Stavros, Papadias, Dimitris, Kollios, George
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.06.2009; Springer
• Subjects: Applied sciences; Computer Science; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Database Management; Exact sciences and technology; Information systems. Data bases; Memory and file management (including protection and security); Memory organisation. Data processing; Regular Paper; Software; Database outsourcing; Mobile computing; Authenticated index; Spatial database; Nearest neighbour; Spatial data structures; Database query; Very large databases; Subcontracting; Spatial databases; Maintenance; Context aware; Range query; Query processing; Storage management; Public key; Object oriented; Database; Outsourcing; Data structure; Computer security; Indexing
• ISSN: 1066-8888; 0949-877X
• DOI: 10.1007/s00778-008-0113-2

In spatial database outsourcing, a data owner delegates its data management tasks to a location-based service (LBS), which indexes the data with an authenticated data structure (ADS). The LBS receives queries (ranges, nearest neighbors) originating from several clients/subscribers. Each query initiates the computation of a verification object ( VO ) based on the ADS. The VO is returned to the client that can verify the result correctness using the public key of the owner. Our first contribution is the MR-tree, a space-efficient ADS that supports fast query processing and verification. Our second contribution is the MR*-tree, a modified version of the MR-tree, which significantly reduces the VO size through a novel embedding technique. Finally, whereas most ADSs must be constructed and maintained by the owner, we outsource the MR- and MR*-tree construction and maintenance to the LBS, thus relieving the owner from this computationally intensive task.