- Country: USA
- Summary: Tech Licensing Opportunity: Generative Adversarial Networks for Em Signature Generation
- UST Ref No: 103565961
- Deadline: 01 Jul 2025
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: BA-1500
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- Description:
- 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 s... - Documents:
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CLICK HERE TO LOGINTech Licensing Opportunity: Generative Adversarial Networks for Em Signature Generation - USA Tender
The ENERGY, DEPARTMENT OF, a Government sector organization in USA, has announced a new tender for Tech Licensing Opportunity: Generative Adversarial Networks for Em Signature Generation. This tender is published on USARFP under UST Ref No: 103565961 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-07-01.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
