Enhancing Data Warehouse Security: An Encrypted Cued-Click-Points Authentication Approach

Abstract

Text passwords and other traditional security measures have been the mainstay of current data warehouse content security techniques. Due to the growing computational capability of information systems, security requirements, especially for the selection of secure text passwords, have changed throughout time. Because database administrators are either unaware of these changes or are overburdened by the magnitude of the adjustments necessary to remedy them, these vulnerabilities are typically invisible to them. As a result, research on usable authentication schemes have picked up steam, with the goal of developing a secure authentication method using cued click points and encryption techniques for accessing a hybrid data warehouse. This scheme aims to enhance the security of data access by combining the unique characteristics of cued click points with encryption to create a robust authentication system. The project will involve designing and implementing the authentication scheme, testing its effectiveness in a hybrid data warehouse environment, and evaluating its performance in terms of security and usability. Overall, the project aims to provide a secure and user-friendly authentication solution for accessing sensitive data in a hybrid data warehouse setting. This scheme utilizes a combination of encryption techniques and user-specific click points to verify user identity and access to the data warehouse. It also discusses the potential benefits of this authentication scheme in terms of data security and user experience.