The multiplicity of existing software and component alternatives for web applications, especially in open source communities, has boosted interest in suitable benchmarks, able to assist in the selection of candidate solutions, concerning several quality attributes. However, the huge success of performance and dependability benchmarking contrasts the small advances in security benchmarking. Traditional vulnerability/attack detection techniques can hardly be used alone to benchmark security, as security depends on hidden vulnerabilities and subtle properties of the system and its environment. A comprehensive security benchmarking process should consist of a two-step process: elimination of flawed alternatives followed by trustworthiness benchmarking. In this paper, the authors propose a trustworthiness benchmark based on the systematic collection of evidences that can be used to select one among several web applications, from a security point-of-view. They evaluate this benchmark approach by comparing its results with an evaluation conducted by a group of security experts and programmers. Results show that the proposed benchmark provides security rankings similar to those provided by human experts. In fact, although experts may take days to gather the information and rank the alternative web applications, the benchmark consistently provides similar results in a matter of few minutes.
Selection of Monitoring Nodes to Maximize Sensing Area in Behavior-based Attack Detection
