Insider Threats and Cryptographic Techniques in Secure Information Management

• Published in: IEEE systems journal Vol. 11; no. 2; pp. 405 - 414
• Main Authors: Ogiela, Lidia, Ogiela, Marek R.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Cognitive systems; Companies; cryptographic data splitting algorithms; Cryptography; Data analysis; Data encryption; Data retrieval; Economics; Information management; insider threats; Protocols; Reconstruction; secure information management; Splitting; Systems analysis; Threat evaluation
• ISSN: 1932-8184; 1937-9234
• DOI: 10.1109/JSYST.2015.2409213

This publication presents some techniques for insider threats and cryptographic protocols in secure processes. Those processes are dedicated to the information management of strategic data splitting. Strategic data splitting is dedicated to enterprise management processes as well as methods of securely storing and managing this type of data. Because usually strategic data are not enough secure and resistant for unauthorized leakage, we propose a new protocol that allows to protect data in different management structures. The presented data splitting techniques will concern cryptographic information splitting algorithms, as well as data sharing algorithms making use of cognitive data analysis techniques. The insider threats techniques will concern data reconstruction methods and cognitive data analysis techniques. Systems for the semantic analysis and secure information management will be used to conceal strategic information about the condition of the enterprise. Using the new approach, which is based on cognitive systems allow to guarantee the secure features and make the management processes more efficient.