SPECIAL NOTICE
70 -- TECHNOLOGY LICENSING OPPORTUNITY Revolutionary EM-Based Detection for Control Logic Injection Attacks in Noisy Environments
- Notice Date
- 4/3/2023 11:19:30 AM
- Notice Type
- Special Notice
- NAICS
- 518210
— Data Processing, Hosting, and Related Services
- Contracting Office
- BATTELLE ENERGY ALLIANCE�DOE CNTR Idaho Falls ID 83415 USA
- ZIP Code
- 83415
- Solicitation Number
- BA-1340
- Response Due
- 4/3/2024 8:00:00 AM
- Point of Contact
- Andrew Rankin
- E-Mail Address
-
andrew.rankin@inl.gov
(andrew.rankin@inl.gov)
- Description
- TECHNOLOGY LICENSING OPPORTUNITY Revolutionary EM-Based Detection for Control Logic Injection Attacks in Noisy Environments Groundbreaking electromagnetic detection tech identifies control logic injection attacks in noisy environments with 90% accuracy. Opportunity:�� Idaho National Laboratory (INL), managed and operated by Battelle Energy Alliance, LLC (BEA), offers to explore a license and/or collaborative research agreement to commercialize this control logic injection attack detection technology. This technology transfer opportunity is part of a dedicated effort to convert government-funded research into job opportunities, businesses, and, ultimately, an improved way of life for the American people. Overview:������� Industrial Control Systems (ICS) are essential for maintaining stability in critical infrastructure but are vulnerable to cyber-attacks due to the challenges of applying traditional security mechanisms. Our technology is designed to address these challenges by detecting anomalous behavior using electromagnetic (EM) emanations, even in noisy environments. Description:��� Our EM-based detection technology can detect minimal code-injection attacks with above 90% accuracy, regardless of environmental noise. We utilize a high sampling rate and singular value decomposition (SVD)-based noise elimination methods to achieve near-perfect levels of accuracy for detecting attacks, even in sub-0 dB environments. Our approach emphasizes the identification of minute modifications in control logic, helping to maintain full awareness and enable surgical mitigation. Benefits:��� ������ Accurately identifies single-instruction injections in clean or moderately noisy (0dB) environments. Maintains high anomaly detection accuracy even under loud environments with high sampling rates. Utilizes SVD-based noise elimination techniques to improve detection accuracy drastically. Provides high-fidelity recognition of anomalous activity in noisy environments. Proactively defends against modern cyber threats that traditional IT security devices may fail to address. Applications:�� Critical Infrastructure Operators Industrial Control System Manufacturers Cybersecurity Solution Providers Government Agencies Responsible for Infrastructure Security Utility Companies (Energy, Water, and Transportation) Development Status:� Technology Readiness Level (TRL): 4 - Component and subsystem validation in a laboratory environment IP Status: ������� PCT Patent Application No. PCT/US22/78107, �Detection of Behavior Anomalies in Control Systems and Related Systems, Methods, and Devices,� BEA Docket No. BA-1340. INL is seeking to license the above intellectual property to a company with a demonstrated ability to bring such inventions to the market. Exclusive rights in defined fields of use may be available. Added value is placed on relationships with small businesses, start-up companies, and general entrepreneurship opportunities. Please visit Technology Deployment�s website at https://inl.gov/inl-initiatives/technology-deployment for more information on working with INL and the industrial partnering and technology transfer process. Companies interested in learning more about this licensing opportunity should contact Andrew Rankin at td@inl.gov.
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/9bc53c297aba4c6c930f5593ba33f4ec/view)
- Place of Performance
- Address: Idaho Falls, ID 83415, USA
- Zip Code: 83415
- Country: USA
- Zip Code: 83415
- Record
- SN06637845-F 20230405/230403230107 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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