Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
DEMIDS: a misuse detection system for database systems
Integrity and internal control information systems
Enterprise Security: A Manager's Defense Guide
Enterprise Security: A Manager's Defense Guide
Software Security: Building Security In
Software Security: Building Security In
Exploring security and comfort issues associated with online banking
International Journal of Electronic Finance
The state-of-the-art of mobile payment architecture and emerging issues
International Journal of Electronic Finance
Accounting standards and quality of earnings information: evidence from an emerging economy
International Journal of Electronic Finance
Detecting anomalous access patterns in relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
Fuzzy Logic for Business, Finance, and Management
Fuzzy Logic for Business, Finance, and Management
A comprehensive approach to anomaly detection in relational databases
DBSec'05 Proceedings of the 19th annual IFIP WG 11.3 working conference on Data and Applications Security
Finding and analyzing database user sessions
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
International Journal of Electronic Finance
Financial and alternative choices in personal transportation habits
International Journal of Electronic Finance
Credit crunch and loan acquisition concerns in a recessional economy: an empirical study
International Journal of Electronic Finance
Securing computerised models and data against integrity attacks
International Journal of Electronic Finance
E-procurement adoption process: an arduous journey for an Australian city council
International Journal of Electronic Finance
Machine learning-based classifiers ensemble for credit risk assessment
International Journal of Electronic Finance
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Data security and privacy are important issues in the success of a financial business operation. Implementing and applying policies related to data security and privacy, therefore, has become one of the core and important activities for large organisations. The data classification process can be laborious in large organisations with significant data to evaluate and categorise. By using a data classification process organisations can identify and apply appropriate policy and security settings such as private access control and encryption requirements. This paper explores the use of fuzzy logic in classification of data in organisations based on organisational data security and privacy needs and government policies imposed on data.