Title :
Information security events aggregation with multi party privacy preserving
Author :
Jizhi Wang ; Guang Yang
Author_Institution :
Shandong Comput. Sci. Center, Nat. Supercomput. Center in Jinan, Jinan, China
Abstract :
Over the past several years a lot of research has focused on privacy preserving of data. In this work we are interested in the following privacy-preserving problem in the domain of information security. A set of parties hold private lists of information security events and want to find and disclose the top-k security events without revealing any other information. We use secure homomorphic encryption techniques to solve this problem and design protocols, analyzing their efficiency.
Keywords :
cryptography; data privacy; data privacy preserving; information security domain; information security events; information security events aggregation; multiparty privacy preserving; secure homomorphic encryption techniques; top-k security events; Homomorphic Cryptograph; Privacy Preserving; Secure Protocol;
Conference_Titel :
Information and Network Security (ICINS 2013), 2013 International Conference on
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-729-8
DOI :
10.1049/cp.2013.2446