Cloud Computing is a flexible, cost-effective, and proven delivery platform for providing business or consumer IT services over the Internet. However, cloud Computing presents an added level of risk because essential services are often outsourced to a third party, which makes it harder to maintain data security and privacy, support data and service availability, and demonstrate compliance. Cloud Computing leverages many technologies (SOA, virtualization, Web 2.0); it also inherits their security issues, which we discuss here, identifying the main vulnerabilities in this kind of systems and the most important threats found in the literature related to Cloud Computing and its environment as well as to identify and relate vulnerabilities and threats with possible solutions.

Business Processes are considered a crucial issue by many enterprises because they are the key to maintain competitiveness. Moreover, business processes are important for software developers, since they can capture from them the necessary requirements for software design and creation. Besides, business process modeling is the center for conducting and improving how the business is operated. Security is important for business performance, but traditionally, it is considered after the business processes definition. Empirical studies show that, at the business process level, customers, end users, and business analysts are able to express their security needs. In this work, we will present a proposal aimed at integrating security requirements through business process modeling. We will summarize our Business Process Modeling Notation extension for modeling secure business process through Business Process Diagrams, and we will apply this approach to a typical health-care business process.

The use of ontologies for representing knowledge provides us with organization, communication and reusability. Information security is a serious requirement which must be carefully considered. Concepts and relations managed by any scientific community need to be formally defined and ontological engineering supports their definition. In this paper, the method of systematic review is applied with the purpose of identifying, extracting and analyzing the main proposals for security ontologies. The main identified proposals are compared using a formal framework and we conclude by stating their early state of development and the need of additional research efforts.