Pseudo Random Binary Protecting On-line Data Communications against Insider Threat

There has recently been a great focus from research projects towards providing unlimited, correct, numerical responses to ad-hoc queries to an on-line database communications, while not compromising confidential numerical data. Unlike traditional random data perturbation (RDP), in this paper a new approach, pseudo random binary sequences covered RDP, is carefully to be discussed. It will be also demonstrated in this paper that how numerical confidential data communications can be protected against insider threat. As an application for our method, an online medical survey database is, as a case study, described, which can be easily extended to other application fields, such as e-government, e-commerce, etc.