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DTSTART;VALUE=DATE:20201111
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SUMMARY:Veterans Day
DESCRIPTION:
URL:https://issa-centralmd.org/calendar/veterans-day-10/
LOCATION:MD
CATEGORIES:Holidays
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DTSTART;VALUE=DATE:20201116
DTEND;VALUE=DATE:20201119
DTSTAMP:20260404T150103
CREATED:20200721T233623Z
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SUMMARY:(ISC)² Security Congress
DESCRIPTION:Join thousands of leading cybersecurity professionals virtually at (ISC)² Security Congress 2020 November 16-18. You will hear expert insights into the latest security challenges\, and share best practices for combating threats\, building teams and implementing the latest processes and procedures to better defend your organizations’ critical assets. We will discuss the latest issues facing the workforce\, explore pathways for career advancement and discover new tools and solutions together. \nAttend (ISC)² Security Congress from home and take advantage of the powerful collaboration that you can only find at a conference of your peers who are dedicated to helping one another solve the challenges we all face. \nEarly Bird pricing to (ISC)² members and associates of just $295 for an All-Access pass. Non-members will also benefit with Early Bird pricing of $395. Registration details will be announced when open. The Early Bird window will close on September 30. Registration and more information can be found Here!
URL:https://issa-centralmd.org/calendar/isc%c2%b2-security-congress/
LOCATION:Virtual
CATEGORIES:Training
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DTSTART;TZID=America/New_York:20201118T170000
DTEND;TZID=America/New_York:20201118T193000
DTSTAMP:20260404T150103
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SUMMARY:Membership Meeting 11/18/2020
DESCRIPTION:Chapter Business Meeting Slides: 2020-11-18 – Meeting Presentastion.pdf\n\n\n\nSpeaker Slides: Roles of Artificial Intelligence and Deep Learning in Detecting Data Exfiltration \nTopic: Roles of Artificial Intelligence and Deep Learning in Detecting Data Exfiltration \nEssential Internet services are vital for many aspects of modern living\, yet those services remain valuable to threat actors who use them for network intrusions and data exfiltration. Dr. Pena completed a quantitative research study analyzing the ability of a Convolutional Neural Network (CNN) to detect Domain Name System (DNS) covert communications generated by the DNSExfiltrator open source tool. The results showed the CNN model had100% accuracy when exfiltrated file sizes exceeded 2 Kilobytes (KB) using the default (maximum) transmission packet size\, but its performance fell dramatically for files below 1 KB in size. \nAs AI/ML solutions become more prevalent in cybersecurity tools\, professionals must understand where a model’s strengths and weaknesses lay in order to apply appropriate risk mitigations\, such as tuning complimentary detection systems. \nSpeaker: Dr. Tomas Pena\, L3 Harris Technologies \n\n\nDr. Tomas Pena is the Chief Technologist for Cyber Operations at L3Harris Technologies’ Space and Airborne Systems Segment. In that role\, he’s responsible for cyber innovation and improving the resiliency of company products spanning land\, sea\, air\, space\, and cyber domains. He’s been in cyber-related systems engineering and defense contracting positions since 2013. Prior to that time\, he completed 20 years of service in the United States Air Force as a Cyberspace Operations Officer where he organized\, planned\, executed full-spectrum cyberspace operations\, stood up the United States Cyber Command’s 24/7 Joint Operations Center\, and led Air Force Business Transformation Initiatives at the Pentagon. Dr. Pena has also filled roles such as managing the Global Positioning System satellite control systems\, managing theater communications during Operations IRAQI FREEDOM and ENDURING FREEDOM. He is also the Founder and President of Parallax Cyber LLC\, a small business focused on training and educating the workforce in Cybersecurity and Cyber Conflict\, and the current Editor-in-Chief of the Military Cyber Professional Associations’ Military Cyber Affairs Journal. \n\n\nClick Here to register for the November 18\, 2020 General Membership Meeting
URL:https://issa-centralmd.org/calendar/membership-meeting-11-18-2020/
LOCATION:Virtual via Zoom\, MD
CATEGORIES:Meetings
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DTSTART;VALUE=DATE:20201126
DTEND;VALUE=DATE:20201127
DTSTAMP:20260404T150103
CREATED:20160927T155333Z
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UID:548-1606348800-1606435199@issa-centralmd.org
SUMMARY:Thanksgiving Day
DESCRIPTION:
URL:https://issa-centralmd.org/calendar/thanksgiving-day-9/
LOCATION:MD
CATEGORIES:Holidays
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