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W91CRB25FA096
Reinforcement Learning CAN Intrusion Detection System Validation
Department of the Army · United States
This tender closed on Wednesday, January 13, 2027. Browse open opportunities
Time Left to Bid
Closed
ClosedEducation & TrainingFederal
Basic information
- Reference number
- W91CRB25FA096
- Issuing organization
- Department of the Army · Find award history →
- Government level
- Federal
- Solicitation type
- Education & Training
- Title
- Reinforcement Learning CAN Intrusion Detection System Validation
- Source
- USASpending (Federal)
- Source ID
- usa-W91CRB25FA096
Details
- Location
- United States
Summary
Army Research Laboratory seeks to develop and validate a reinforcement learning-based intrusion detection system specifically designed for Controller Area Network (CAN) in military vehicles, focusing on advanced cybersecurity techniques.
Description
ARMY RESEARCH LABORATORY REINFORCEMENT LEARNING (RL) BASED VEHICULAR CONTROLLER AREA NETWORK (CAN) INTRUSION DETECTION SYSTEM (IDS) VALIDATION AND INTEGRATION Awarded to: THE PENNSYLVANIA STATE UNIVERSITY Agency: Department of Defense Sub-agency: Department of the Army Award type: DELIVERY ORDER
Dates
- Publication
- 2025/07/10 12:00:00 AM UTC
- Closing date
- 2027/01/13 12:00:00 AM UTC
Estimated value
$1.0M USD
Classification
Normalized category
Education & Training