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DTSTART:20270314T030000
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DTSTART:20261101T010000
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DTSTAMP:20261114T222747Z
UID:0E70A361-A4FA-45B7-A352-64588E4B39D8
DTSTART;TZID=America/New_York:20261111T180000
DTEND;TZID=America/New_York:20261111T193000
DESCRIPTION:Computational Intelligence (CI) constitutes an umbrella of tech
 niques\, has proven to be flexible in solving dynamic and complex real-wor
 ld problems. These techniques typically include Machine Learning\, Fuzzy L
 ogic\, Evolutionary Computation\, Intelligent Agent Systems\, Neural Netwo
 rks\, Cellular Automata\, Artificial Immune Systems\, Game Theory and othe
 r similar computational models. Cyber defense is a continuously changing a
 ttack landscape as the software/hardware components are added and/or updat
 ed more frequently at different layers of cyber systems for additional fun
 ctionalities and/or improved usability while in many cases these are not s
 ecurity-enabled. Attackers exploit these vulnerabilities and find attack p
 aths to compromise the target systems. In this talk\, Prof. Dipankar Dasgu
 pta\, Distinguished Lecturer of IEEE Computational Intelligence Society wi
 ll discuss multi-faceted Computational Intelligent (CI) techniques which c
 an provide an efficient security paradigm to deal with influx of new threa
 ts in network infrastructures and smart applications. He will cover some C
 I approaches which are used to augment defense-in-depth and build zero-tru
 st architectures and to add necessary security enhancements to the design\
 , development\, testing and operation of cyber-enabled systems.\n\nSpeaker
 (s): Prof. Dipankar Dasgupta\, \n\nVirtual: https://events.vtools.ieee.org
 /m/588227
LOCATION:Virtual: https://events.vtools.ieee.org/m/588227
ORGANIZER:murtyp@ieee.org
SEQUENCE:37
SUMMARY:Local IEEE CIS Chapter Meeting: Computational Intelligence in Cyber
 security
URL;VALUE=URI:https://events.vtools.ieee.org/m/588227
X-ALT-DESC:Description: &lt;br /&gt;&lt;p class=&quot;MsoNormal&quot;&gt;Computational Intelligen
 ce (CI) constitutes an umbrella of techniques\, has proven to be flexible 
 in solving dynamic and complex real-world problems. These techniques typic
 ally include Machine Learning\, Fuzzy Logic\, Evolutionary Computation\, I
 ntelligent Agent Systems\, Neural Networks\, Cellular Automata\, Artificia
 l Immune Systems\, Game Theory and other similar computational models. Cyb
 er defense is a continuously changing attack landscape as the software/har
 dware components are added and/or updated more frequently at different lay
 ers of cyber systems for additional functionalities and/or improved usabil
 ity while in many cases these are not security-enabled. Attackers exploit 
 these vulnerabilities and find attack paths to compromise the target syste
 ms. In this talk\, Prof. Dipankar Dasgupta\, Distinguished Lecturer of IEE
 E Computational Intelligence Society will discuss multi-faceted Computatio
 nal Intelligent (CI) techniques which can provide an efficient security pa
 radigm to deal with influx of new threats in network infrastructures and s
 mart applications. He will cover some CI approaches which are used to augm
 ent defense-in-depth and build zero-trust architectures and to add necessa
 ry security enhancements to the design\, development\, testing and operati
 on of cyber-enabled systems.&lt;/p&gt;
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