Title
Preventing Social Engineering And Espionage In Collaborative Knowledge Management Systems (Kmss)
Abstract
Insider attack and espionage on computer-based information is a major problem for business organizations and governments. Knowledge Management Systems (KMSs) are not exempt from this threat. Prior research presented the Congenial Access Control Model (CAC), a relationship-based access control model, as a better access control method for KMS because it reduces the adverse effect of stringent security measures on the usability of KMSs. However; the CAC model, like other models, e.g., Role Based Access Control (RBAC), Time-Based Access Control (TBAC), and History Based Access Control (MAC), does not provide adequate protection against privilege abuse by authorized users that can lead to industrial espionage. In this paper; the authors provide an Espionage Prevention Model (EP) that uses Semantic web-based annotations on knowledge assets to store relevant information and compares it to the Friend-Of-A-Friend (FOAF) data of the potential recipient of the resource. It can serve as an additional layer to previous access control models, preferably the Congenial Access Control (CAC) model.
Year
DOI
Venue
2011
10.4018/jea.2011100104
INTERNATIONAL JOURNAL OF E-ADOPTION
Keywords
Field
DocType
Congenial Access Control, Extrusion, Industrial Espionage, Insider Attack, Knowledge Management Systems, Security, Semantic Annotation, Semantic Web
Computer access control,FOAF,Computer science,Computer security,Industrial espionage,Usability,Social engineering (security),Role-based access control,Semantic Web,Knowledge management,Access control
Journal
Volume
Issue
ISSN
3
4
1937-9633
Citations 
PageRank 
References 
1
0.37
6
Authors
3
Name
Order
Citations
PageRank
Shawn Oluwafemi Ogunseye1131.63
Olusegun Folorunso23710.55
Jeff Zhang351.23