Detection of Security Concerns on Data Communications Systems

The data communications systems in building today suffer compromises from many different types of attacks. Protection of data and messages that are communicated is the principal object of computer and network security. By far the most important automated protection tool for network and communications security is encryption. As an example, the web service HTTPS transmits private documents between hosts via the Internet over the SSL/TLS connection which uses keys to encrypt data. This paper has presented a scheme to detect the security concerns on current data communication systems via a measurement of the number of HTTPS web servers on the Internet. We presented the conventional Monte Carlo sampling approach to estimate the HTTPS web server density. As a variance reduction technique, importance sampling is introduced, which is a modified Monte Carlo approach resulting in a significant reduction of the effort required to obtain an accurate estimate. We proposed importance sampling approaches to track the prevalence and growth of the HTTPS web service. A thorough analysis of the presented sampling approaches has been performed. An increasing security concerns on the web servers have been detected and discussed.