Privacy-Preserving Multi-pattern Matching

2017 ◽  
pp. 199-218 ◽  
Author(s):  
Tao Zhang ◽  
Xiuhua Wang ◽  
Sherman S. M. Chow
Keyword(s):  
Pattern Matching ◽  
Privacy Preserving

scholarly journals Secure and privacy-preserving pattern matching in outsourced computing

2016 ◽  
Vol 9 (16) ◽  
pp. 3444-3451 ◽  
Author(s):  
Dongmei Li ◽  
Xiaolei Dong ◽  
Zhenfu Cao
Keyword(s):  
Pattern Matching ◽  
Privacy Preserving

scholarly journals PRIVACY PRESERVING PATTERN MATCHING ON SEQUENCES OF EVENTS

2014 ◽  
pp. 85-90
Author(s):  
Vladimir A. Oleshchuk
Keyword(s):  
Pattern Matching ◽  
Data Streams ◽  
Input Sequence ◽  
Privacy Preserving ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Use Pattern ◽  
Pattern Matching Algorithm

We propose to use pattern matching on data streams from sensors in order to monitor and detect events of interest. We study a privacy preserving pattern matching problem where patterns are specified as sequences of constraints on input elements. We propose a new privacy preserving pattern matching algorithm over an infinite alphabet A where a pattern P is given as a sequence { pi , pi ,..., pim } 1 2 of predicates pi j defined on A . The algorithm addresses the following problem: given a pattern P and an input sequence t, find privately all positions i in t where P matches t. The privacy preserving in the context of this paper means that sensor measurements will be evaluated as predicates ( ) pi ej privately, that is, sensors will not need to disclose the measurements ( ) ( ) ( j )

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