SPECIAL NOTICE
58 -- Tech Licensing Opportunity: Generative Adversarial Networks for EM Signature Generation
- Notice Date
- 7/1/2024 10:40:48 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-1500
- Response Due
- 7/1/2025 8:00:00 AM
- Archive Date
- 07/16/2025
- Point of Contact
- Andrew Rankin
- E-Mail Address
-
andrew.rankin@inl.gov
(andrew.rankin@inl.gov)
- Description
- Generative Adversarial Networks for EM Signature Generation A novel method to synthetically generate electromagnetic (EM) signatures from assembly instructions using Generative Adversarial Networks (GANs), enhancing software security analysis. The Challenge: In an era where digital security is paramount, the meticulous process of firmware and software verification plays a critical role, especially in mission-critical systems. Traditionally, this involves side-channel analysis�an expert-driven, labor-intensive method that relies on capturing analog signals to detect vulnerabilities or unauthorized changes in software. This method, while effective, often becomes a bottleneck due to its complexity and the high degree of manual effort required, leading to high costs and extended timelines. How it Works: This technology introduces a groundbreaking approach to generating EM signatures directly from code, leveraging the power of Generative Adversarial Networks (GANs). Traditionally, capturing EM signals for side-channel analysis is labor-intensive and error-prone, requiring precise manual efforts. By automating this process, our method not only simplifies but also accelerates the detection of vulnerabilities in software, especially in embedded devices. It promises a significant reduction in the cost and complexity of side-channel analysis, potentially revolutionizing how software security is verified before deployment. Key Advantages: Automates the generation of EM signatures, eliminating manual capturing errors. Facilitates rapid and reliable anomaly detection in software at the firmware and software level. Reduces the overall cost and time required for side-channel analysis. Enables offline verification of software for side-channel vulnerabilities. Improves the robustness of security analysis against environmental and equipment variability. Problems Solved Time-consuming and error-prone manual capturing of EM signals for side-channel analysis. Limited applicability of traditional side-channel analysis methods due to their dependency on physical signal capturing. High cost and complexity of ensuring software security in embedded and mission-critical systems. Difficulty in detecting firmware and software-level modifications through conventional methods. Market Applications Software Security Verification: Ideal for companies and organizations looking to secure their software against side-channel attacks before deployment. Automatically generate EM signatures for comprehensive pre-deployment security checks, safeguarding software from compromised confidentiality and integrity. Vulnerability Identification in Embedded Devices: Perfect for industries deploying embedded systems in mission-critical environments. Use synthetic EM signals to identify and rectify vulnerabilities in embedded devices, ensuring robust defense against potential security breaches. Education and Research in Cybersecurity: An invaluable tool for academic institutions and research centers focusing on advanced cybersecurity solutions. Enhance the learning and development of cutting-edge security solutions with hands-on applications of synthetic signal generation technology. Development Status: TRL 3 US Provisional Patent Application No. 63/570,790, �SYSTEMS AND METHODS FOR SYNTHETIC SIDE-CHANNEL ANALYSIS,� BEA Docket No. BA-1500 INL Tech Partnerships: Your Gateway to Innovation INL offers strategic access to proprietary technology, enhancing small business growth and contributing to economic and public advancement. We cater licensing terms to each business we work with, ensuring mutually beneficial agreements. Engage with our diverse technology offerings to propel your company forward. Learn more about our licensing opportunities and the support we provide at https://inl.gov/technology-deployment/. For specific discussions on how your business can benefit, please contact td@inl.gov.
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/c183031223fa466f8af6ba5612e5a0df/view)
- Place of Performance
- Address: Idaho Falls, ID 83415, USA
- Zip Code: 83415
- Country: USA
- Zip Code: 83415
- Record
- SN07113369-F 20240703/240701230106 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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