Contributions by role
Contributions by subject area
By Q&A topic
Daniel Yaacov Bilar
Summary
Expertise in quantitative compositional risk analysis / management, open-loop payments networks, offensive/defense cyber-security, threat modeling, SSDLC, moving target defenses, adversarial dynamics, management science.
SME in US Federal Court in computer security, programming, risk profiling, code logs and general forensics.
Former US DoD 6.1-6.3 researcher and project leader. Former assistant professor of computer science. One of seven founding members of the ISTS at Dartmouth, tech counter-terrorism research for US DoJ, DHS, DoD. Analyst.
Interdisciplinary since pre-fall USSR. PhD (Dartmouth), MEng (Cornell), BA (Brown).
Coupled Natural & Human Systems Emerging Technologies Optimization Theory & Computation Science Policy Security & Privacy Software Engineering
Past or current institution affiliations
Websites
PeerJ Contributions
Provided feedback on
A review of KDD99 dataset usage in intrusion detection and machine learning between 2010 and 2015
Dear Profs Özgür and Erdem Thank you for this needed too rare review. It is sobering that we may be basing security research directions and conclusions on a dataset which is ho...
Daniel Bilar (Sept 20, 2016): This extended abstract submission was rejected for a 5 minute lightning talk at SecDev 2016. With the permission of the PC chair, I am posting the un...
This 2 page extended abstract submission was rejected on Nov 21, 2016. I am posting the unedited, original reviewer comments below. This serves three pedagogical purposes 1) To...
Much enjoyed this empirical work and will ponder what (if anything) can be inferred from the statistical distributions. I have two comments: 1) Crash reports have a potential...