New technological capabilities are becoming an increasingly important part of our daily lives. If we want to be sustainable and competitive, we as a society must take advantage of them. The huge volume of data cannot be used effectively without the implementation of artificial intelligence algorithms. And to be effective and useful, data must be protected and secure.
The Information Technology security threats are emerging with each day passing by. The implementation of the technology into every field of society brings changes. Finding a way to manage these changes would be a success, and, by doing so, it would mitigate the risks they bring. Data transmission nowadays is unsecure like never before. Challenging is the way that should be found to cope with these kinds of evolutionary changes. Among the top threats in networks lies the DoS attack. It has been a long time since this kind of attack is around, but that doesn’t reduce the fact that this type of attacks is still dangerous and devastating. In order to cope with this kind of attack, we need to know how to manage risks and changes during a DoS attack. Because of this, it is very important that defensive mechanisms are implemented and integrated so that unauthorized access would be prevented from accessing your network or data. This refers to individuals and everyone else working in companies that are working in the field of IT, because at some point, we all share the same thing-devices (mobile phones, personal computers, devices at work, etc.). The base of the IT foundation is knowing how to protect yourself and your data. Due to this, we need to work hard and exploit every possible threat and attack from the inside out. Not only to reduce or mitigate the already occurred impact, but also to prevent these types of failures from happening in the future.
One of the main problems of biomedical informatics in the effort to increase its contribution in knowledge retrieval and decision making is the integration of ever-increasing amounts of information and data from multiple heterogeneous sources and domains – clinical, medical, biological etc. The paper proposes an ontology based approach for integration of biomedical data and information using the Linked Open Data vocabularies and a D2RQ-mapped database. A simple example of semantic integration of heterogeneous biomedical and health data sources is given.