OntoLog: Using Web Semantic and Ontology for Security Log Analysis
Along with the growth of available information on the internet, grows too the number of attacks to the Web systems. The Web applications became a new target to those invaders, due to the popularization of the Web 2.0 and 3.0, as well as the access to the social networks system's API's, the cloud computing models and SaaS. In this context, the identification of an eventual attack to those applications has become an important challenge to the security specialists. This paper presents a proposition of using Semantic Web and Ontology concepts to define an approach to analyze Security logs with the goal to identify possible security issues.