Keynote and Invited Speakers

Prof. George Cybenko (SIAM Fellow), Dartmouth College

Dr. Jeffrey Johns, Director of Data Science, FireEye

Prof. Kevin Kornegay, Morgan State University

Accepted Oral Presentations

A Framework for Unsupervised Classification and Data Mining of Tweets about Cyber Vulnerabilities (Kenneth Alperin, Emily Joback, Leslie Shing and Gabe Elkin)

Evidential Cyber Threat Hunting (Frederico Araujo, Dhilung Kirat, Xiaokui Shu, Teryl Taylor and Jiyong Jang)

Collaborative Information Sharing for ML-Based Threat Detection (Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser and Jack Davidson)

Prospective Artificial Intelligence Approaches for Active Cyber Defence (Neil Dhir, Henrique Helfer Hoeltgebaum, Niall Adams, Mark Briers, Anthony Burke and Paul Jones)

Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders (Prakhar Sharma, Phillip Porras, Steven Cheung, James Carpenter and Vinod Yegneswaran)

Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation (Prakruthi Karuna, Erik Hemberg, Una-May O'Reilly and Nick Rutar)

Accepted Posters/Lightning Talks

Zoom Poster session:

https://mitll.zoomgov.com/j/1602006722?pwd=QnU1RU1iSFNWakMvemZkMnQ0SFZHQT09

Meeting ID: 160 200 6722

Passcode: 631828

One tap mobile

+16692545252,,1602006722#,,,,*631828# US (San Jose)

+16468287666,,1602006722#,,,,*631828# US (New York)

Identifying botnet IP address clusters using natural language processing techniques on honeypot command logs (Valentino Crespi, Wes Hardaker, Sami Abu-El-Haija and Aram Galstyan)

Predicting Adversary Lateral Movement Patterns with Deep Learning (Nathan Danneman, James Hyde)

On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware (Molly Buchanan, Jeffrey Collyer, Jack Davidson, Saikat Dey, Mark Gardner, Jason Hiser, Jeffry Lang, Alastair Nottingham and Alina Oprea)

Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity (Frank W. Bentrem, Michael A. Corsello and Joshua J. Palm)

Robustness of ML-Enhanced IDS to Stealthy Adversaries (John Emanuello and Vance Wong)

Network Defense is Not a Game (Andres Molina-Markham, Ransom Winder and Ahmad Ridley)

Towards Causal Models for Adversary Distractions (Ronald Alford and Andy Applebaum)

Semi-Supervised Learning for Natural Language Processing on a Cybercrime Corpus (Courtney Falk)

Agenda

AI/ML for Cybersecurity Workshop -April 29, 2021

• 08:00 - 08:10 EDT Welcome and Opening Remarks: Dr. Una-May O’Reilly, MIT-CSAIL

• 08:10 - 08:15 EDT Session Introduction: Drs. Ahmad Ridley and John Emanuello, Laboratory for Advanced Cybersecurity Research

• 08:15 - 09:00 EDT Keynote: Formal Languages, Deep Learning, Topology, and Algebraic Word Problems Prof. George Cybenko, Dartmouth College

• 09:00 - 09:05 EDT Break

• 09:05 - 09:35 EDT Invited Talk: Applications of AI in Cybersecurity

• Prof. Kevin Kornegay

• 09:35 - 10:50 EDT Submitted Talks Session (including a 15 min discussion with authors)

  • Prospective Artificial Intelligence Approaches for Active Cyber Defence;

  • Evidential Cyber Threat Hunting;

  • Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation

• 10:50 - 11:25 EDT Lightning Talks for Posters

  • Crespi: Identifying botnet IP address clusters using natural language processing techniques of honeypot command logs

  • Hyde: Predicting Adversary Lateral Movement Patterns with Deep Learning

  • Hiser: On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware

  • Bentrem: Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity

  • Wong: Robustness of ML Enhanced IDS to Stealthy Adversaries

  • Molina: Network Defense Is Not A Game

  • Alford: Towards Causal Models for Adversary Distractions

  • Falk: Semi Supervised Learning for Natural Language Processing on a Cybercrime Corpus

• 11:25 - 12:15 EDT Government Perspectives Panel Discussion (50 Minutes)

  • Dr. Nathaniel Bastian, US Department of Defense Joint Artificial Intelligence Center

  • Dr. Sunny Fugate, Naval Information Warfare Center Pacific

  • Mr. Tejas Patel, Defense Advanced Research Projects Agency (DARPA)

  • Dr. Celeste Paul, US Department of Defense

• 12:15 - 13:00 EDT Break

• 13:00 - 13:15 EDT Discussion: Ms. Diane Staheli, MIT Lincoln Laboratory and Dr. Erik Hemberg, MIT-CSAIL

• 13:15 - 13:20 EDT Session Introduction: Dr. Kimberly Ferguson-Walter, Laboratory for Advanced Cybersecurity Research and Dr. Dennis Ross, MIT Lincoln Laboratory

• 13:20 - 14:05 EDT Keynote: Weak Supervision in Cybersecurity

• Dr. Jeffrey Johns, FireEye

• 14:05 - 15:20 EDT Submitted Talks Session (including a 15 min discussion with authors)

  • Collaborative Information Sharing for ML-Based Threat Detection

  • Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders;

  • A Framework for Unsupervised Classification and Data Mining of Tweets about Cyber Vulnerabilities

• 15:20 - 15:25 EDT Break

• 15:25 - 16:05 EDT Poster Session

• 16:10 - 17:00 EDT Academic/Industry Perspectives Panel Discussion

  • Dr. Jeffrey Johns, FireEye

  • Prof. Kevin Kornegay, Morgan State University

  • Dr. Nick Rutar, Perspecta Labs

  • Dr. Bronwyn Woods, Duo Security (part of Cisco)

• 17:00 - 17:15 EDT Discussion and Conclusion: Dr. Bill Streilein, MIT Lincoln Laboratory