Data processing: database and file management or data structures – Database and file access – Query optimization
Reexamination Certificate
2005-10-05
2010-06-01
Boccio, Vincent (Department: 2169)
Data processing: database and file management or data structures
Database and file access
Query optimization
C707S705000, C707S736000, C707S769000
Reexamination Certificate
active
07730058
ABSTRACT:
A probabilistic detector is utilized to query a database. Utilization of a probabilistic detector provides assurance with 100 per cent probability that a search expression in the query is not in the database index. The probabilistic detector is implemented in the form of a Bloom filter. The probabilistic detector is created by hashing expressions in the database index and mapping the resulting hash values into the probabilistic detector. Upon receiving a query, expressions of the query are hashed. The probabilistic detector is queried using these hash values. If the results of querying the probabilistic detector indicate that searched for information may be in the database, the database is not queried. If the results of querying the probabilistic detector indicate that the information may be in the database, the database is queried for the information using the original query. This technique is advantageous in mitigating detrimental effects of denial of service attacks.
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Abadi Martin
Isard Michael A.
Manasse Mark Steven
Sareen Gaurav
Boccio Vincent
Microsoft Corporation
Wong Huen
Woodcock & Washburn LLP
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