Tuesday, June 20, 2017

Predictive analysis and algorithms of Machine learning for the exam in URJC courses.

As we already told you in other posts, the 18th edition of the URJC Summer Courses aims to offer a vision of how artificial intelligence and machine learning are tools that cybersecurity can use to safeguard our data in a place full of dangers such as the network.

But… How does artificial intelligence work? Does it offer us opportunities to stay more reinforced on the outside world or it also offered to cybercriminals? These are some of the topics that will be discussed on the last days of the Summer Courses.

Sergio Iglesias - Security Analytics and Behaviour Analytics by detecting real-time anomalies.

The paper directed by this communication engineer has as its starting point the predictive analysis. This analysis is based on understanding the real world variables and creating mathematical functions for it use. By linking each variable and its relations with the real world through to cognitive science actions or changes can be recommended to "modify" the future. Therefore, prediction systems are based on artificial intelligence systems such as deep learning, which is more resemble to brain functioning than to a simple mathematical system today.

Sergio Iglesias studied in University of the Basque Country and has more than 15 years of professional experience in this field. He is currently working for BBVA, where he has been in several workstations.
2008-2010: IPS security management
2010-2013: Security Infraestructure technician
2013-2016: Analytics& Tools
2016-currently: Cybersecurity Analytics & Digital Trust

Alfonso Muñoz and Miguel Hernández - When artificial intelligence is not enough: Challenges and opportunities.

The I4S researcher emphasizes the huge interest that has been generated in the last five years around the alleged potential of artificial intelligence, both in academia and industry. Co-presented with his colleague Miguel Hernández, this conference will prove the opportunities and above all the limitations of this technology. Are Machine Learning Algorithms Safe? Can we trust their unreliable environments?

Alfonso Muñoz holds a PhD in Telecommunication Engineering from the Technical University of Madrid (UPM) and postdoctoral researcher in network security at Carlos III University in Madrid (UC3M). In addition, he is co-editor of the Spanish Thematic Network on Information Security and Cryptography (CRIPTORED), where he develops and coordinates some cybersecurity and advanced training projects, with great impact in Spain and Latam.

Thanks to the URJC summer courses, we will see how the implementation of artificial intelligence and machine learning affect to cybersecurity, and we will also see if these techniques are beneficial or have blind spots.


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