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DTSTAMP:20210614T163428Z
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DTSTART;TZID=Europe/Lisbon:20210616T170000
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DESCRIPTION: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 a
 nd complex than regular networks. Due to this fact\, new challenges in cyb
 ersecurity to protect these systems and devices with special features emer
 ge. Artificial intelligence techniques are real solution for protecting Io
 T systems from the various anomalies and attacks at the network level. An 
 approach can be the Intrusion Detection Systems (IDS) improved through mac
 hine and deep learning techniques if we have the correct information based
  on high quality datasets.\n\nSpeaker(s): Hector Alaiz Moretón\, \n\nVirt
 ual: https://events.vtools.ieee.org/m/274825
LOCATION:Virtual: https://events.vtools.ieee.org/m/274825
ORGANIZER:jmac@ieee.org
SEQUENCE:1
SUMMARY:Artificial Intelligence and Cybersecurity
URL;VALUE=URI:https://events.vtools.ieee.org/m/274825
X-ALT-DESC:Description: <br /><h4 style="text-align: justify\;">Nowadays\, 
 the large number of devices working like sensors and actuators that make u
 p the Internet of things forces these systems to use diverse technologies 
 and protocols. IoT networks are more heterogeneous and complex than regula
 r networks. Due to this fact\, new challenges in cybersecurity to protect 
 these systems and devices with special features emerge. Artificial intelli
 gence techniques are real solution for protecting IoT systems from the var
 ious anomalies and attacks at the network level. An approach can be the In
 trusion Detection Systems (IDS) improved through machine and deep learning
  techniques if we have the correct information based on high quality datas
 ets.</h4>
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