ChirpE - 2019 MILCOM: Sessions

12 Nov 19

2:00 PM - 4:35 PM

Tracks: Track 3: Cyber Security and Trusted Computing, Unclassified Technical Paper Sessions

Chair: Bassam S Farroha (US DoD, USA)

Detection of Encrypted Malicious Network Traffic Using Machine Learning: Michael De Lucia (Army Research Lab (ARL), USA); Chase Cotton (University of Delaware, USA)
Synthetic Intrusion Alert Generation Through Generative Adversarial Networks: Christopher R Sweet, Stephen Moskal and Shanchieh Jay Yang (Rochester Institute of Technology, USA)
A Case Study on Using Deep Learning for Network Intrusion Detection: Gabriel C Fernandez and Shouhuai Xu (University of Texas at San Antonio, USA)
Break
Neural Malware Control with Deep Reinforcement Learning: Yu Wang (Microsoft Corporation, USA); Jack W. Stokes (Microsoft Research, USA); Mady Marinescu (Microsoft, USA)
Detection of Prevalent Malware Families with Deep Learning: Jack W. Stokes (Microsoft Research, USA); Christian Seifert (Microsoft Corporation, USA); Jerry Li (Snap, USA); Nizar Hejazi (Uber Corporation, USA)
When Autonomous Intelligent Goodware Will Fight Autonomous Intelligent Malware: A Possible Future of Cyber Defense: Paul Theron (Thales & Aerospace Cyber Resilience (Cyb'Air) Research Chair, France); Alexander Kott (United States Army Research Laboratory, USA)