Master the knowledge required to propose original designs or developments, often in a research process within the area of cyber security. Ability to apply acquired knowledge to solve problems under novel or almost novel situations or within broader (multidisciplinar) contexts related with cyber security. Ability to state critical opinions and judgements having incomplete or limited information in the field of cyber security. These judgements must take into account include considerations about social and ethical responsibilities. Discuss in a public audience about their acquired knowledge, and the conclusions from the work. Students will be able to give their foundational and most convincing reasons to a specialized and non specialized audience in a clear way, without ambiguities. Students should have the learning skills required to continue studying in a autonomous or self-directed way. Create, design, deploy and maintain a cyber defense global system in a given context. Create and refine concise and comprehensively documents, plans and projects in the scope of cyber security. Know the relevant technique part of the legal regulation in cyber security and its implications in the design of systems and security tools. Analyze systems to find attack evidences and to adopt the required measures to maintain the custody chain of the found evidences. Apply the suited services, mechanisms and security protocols to a given case. Design and evaluate security architectures of systems and networks. Know and apply the cryptographic and steganographic mechanisms required to protect data stored in a system or data transiting a network. Analyze the risks of introducing personal devices in a corporate professional environment (Bring your own device). Know and apply the measures to control the risks.

Cyber Defense Systems: 1. Introduction to Cyber Defense 2. Local sensors: Audit and analysis of events 2.1. Management of users and accesses 2.2. Analysis of security logs 3. Firewall and network segmentation: 3.1. Fundamentals of traffic filtering 3.2. Types of firewalls 3.3. Network segmentation 4. Detection and prevention of attacks 4.1. Signature detection 4.2. Anomaly detection 4.3. Automated response to intrusion attacks 5. Security Information and Event Management (SIEM) 5.1. Introduction and SIEMs architectures 5.2. Aggregation and correlation rules 5.3. Intrusion detection networks 5.4. Strategies for network sensing

The course will consists of the following elements: -- Master classes -- Lab Sessions -- Practical Exercises -- Lab Assignments -- Tutoring