Paper Info
Title
Towards an Automatic Detection of Sensitive Information in Mongo Database
Abstract
Before talking about the security tools we must first think about what we should protect and how we should distinguish information that seems to be sensitive and identifiable among heterogeneous data that spread over several sources like Facebook, twitter and several other suppliers of big data. Thus, in this paper we proved a method of identifying sensitive information in mongo data store. In this paper we propose an innovative approach and its implementation as an expert system to achieve the automatic detection of the candidate attributes for fragmentation. Our approach is mainly based on semantic rules that determine which concepts have to be fragmented, and on a linguistic component that retrieves the attributes that semantically correspond to these concepts. Since attributes cannot be considered independently from each other we also address the challenging problem of the propagation of it among the whole mongo database. An important contribution of our approach is to provide a semantic modeling of sensitive data.
Year
DOI
Venue
2018
10.1007/978-3-030-16657-1_13
intelligent systems design and applications
Field
DocType
Citations 
Computer science,Expert system,Information sensitivity,Big data,Database
Conference
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Houyem Heni111.06
Faïez Gargouri224492.29