Artificial Intelligence and Cybersecurity

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Nowadays, the large number of devices working like sensors and actuators that make up the Internet of things forces these systems to use diverse technologies and protocols. IoT networks are more heterogeneous and complex than regular networks. Due to this fact, new challenges in cybersecurity to protect these systems and devices with special features emerge. Artificial intelligence techniques are real solution for protecting IoT systems from the various anomalies and attacks at the network level. An approach can be the Intrusion Detection Systems (IDS) improved through machine and deep learning techniques if we have the correct information based on high quality datasets.


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  • Date: 16 Jun 2021
  • Time: 05:00 PM to 06:00 PM
  • All times are (UTC+01:00) Lisbon
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  Speakers

Hector Alaiz Moretón Hector Alaiz Moretón of University of Léon, Spain

Biography:

H. Alaiz-Moreton received his degree in Computer Science, performing the final project at Dublin Institute of Technology, in 2003. He received his PhD in Information Technologies in 2008 (University of Leon). He has worked as a lecturer since 2005 at the School of Engineering at the University of Leon. His research interests include knowledge engineering, machine and deep learning, networks communication, and security. He has several works published in international conferences, as well as books, more than 80 scientific publications between JCR papers, Lecture Notes and Scientific Workshops. He has been a member of scientific committees in conferences. He has headed several PhD Thesis and research competitive projects. Actually, he is the vice main of RIASC (INSTITUTE OF APPLIED SCIENCES TO CYBERSECURITY).