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Author:
Date:
July 2020
Source:
Sampled trajectories from a Bayesian model trained using anonymized flight operational quality assurance (FOQA) data from a Boston metropolitan helicopter air ambulance company.
Data type:
Comma Separated Value (CSV)

Summary

The dataset contains trajectories sampled from the helicopter air ambulance (HAA) encounter model. Each sampled trajectory is approximately 120 seconds long. These trajectories are only representative of HAA operations; they may not be representative of different types of helicopter operations. The encounters are uncorrelated in the sense that it is assumed that air traffic control services are not being provided during the encounter.
Date:
June 2020
Source:
MIT LLTEM V1.0
Data type:
Aviation

Summary

The MIT LL Terminal Encounter Model (LLTEM) was developed to generate statistically representative encounters between unmanned aircraft and manned aircraft in terminal airspace. The model presently addresses unmanned aircraft on straight-in approach to a Class D airport encountering a second aircraft either landing or taking off. The dataset here includes one million encounters sampled from the model for use in terminal area safety analyses.
Date:
August 2016
Source:
DARPA Cyber Grand Challenge
Data type:
Cyber Security

Summary

The goal of the DARPA CGC was to engender a new generation of autonomous cyber defense capabilities that combined the speed and scale of automation with reasoning abilities exceeding those of human experts. Entrants fielded autonomous systems that competed head-to-head in an isolated network testbed environment on the purpose-built operating system DECREE (DARPA Experimental Cyber Research Evaluation Environment).
Date:
August 2016
Source:
DARPA Cyber Grand Challenge
Data type:
Cyber Security

Summary

The goal of the DARPA CGC was to engender a new generation of autonomous cyber defense capabilities that combined the speed and scale of automation with reasoning abilities exceeding those of human experts. Entrants fielded autonomous systems that competed head-to-head in an isolated network testbed environment on the purpose-built operating system DECREE (DARPA Experimental Cyber Research Evaluation Environment).
Date:
July 2000
Data type:
Cyber Security

Summary

Off-line intrusion detection datasets were produced as per consensus from the Wisconsin Re-think meeting and the July 2000 Hawaii PI meeting.
Date:
September 1999 – October 1999
Data type:
Cyber Security

Summary

Intrusion detection systems were tested in the off-line evaluation using network traffic and audit logs collected on a simulation network. The systems processed these data in batch mode and attempted to identify attack sessions in the midst of normal activities.
Date:
February 1998
Data type:
Cyber Security

Summary

Intrusion detection systems were tested in the off-line evaluation using network traffic and audit logs collected on a simulation network. The systems processed these data in batch mode and attempted to identify attack sessions in the midst of normal activities.

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