Technology Licensing Opportunity for an Email Attachment and Link Scanning Device... Tender

Procurement Summary

Country : USA

Summary : Technology Licensing Opportunity for an Email Attachment and Link Scanning Device Based on Semi-Supervised Learning

Deadline : 30 Nov 2022

Other Information

Notice Type : Tender

TOT Ref.No.: 74413904

Document Ref. No. : BA-1291

Financier : Self Financed

Purchaser Ownership : Public

Tender Value : Refer Document

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Tender Details

Description

TECHNOLOGY LICENSING OPPORTUNITY

Email Attachment and Link Scanning Device based on Semi-Supervised Learning

A novel device using deep learning to identify malware documents and attachments accurately.

Opportunity: Idaho National Laboratory (INL), managed and operated by Battelle Energy Alliance, LLC (BEA), is offering the opportunity to enter into a license and/or collaborative research agreement to commercialize this attachment and link scanning device. 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: This work addresses ransomware threats faced by small to midsize companies that cannot support extensive IT organizations to promote training or prevent spear phishing attacks. The average cost per incident for smaller companies is approximately $700, 000. Deploying machine learning-based solutions has historically been computationally expensive. Competitors, including FireEye, binary defense, and carbon black, rely on cloud-based software solutions.

Description: Researchers at Idaho National Lab have developed a device that uses the attention mechanism in deep learning to apply function names accurately and reliably to disassembled email attachments. Attachments or links classified as anomalous are then sequestered on the device in a virtual machine for revision, while attachments classified as non-anomalous are delivered to the user. The reverse-engineered function names and links are then sent to a probabilistic autoencoder for anomaly detection.

The entire system is implemented in programmable logic on a device entirely independent of the user-s computer. The machine learning elements are implemented on field programmable gate array logic. The virtual machine running the operating system manages all emails intended for the user's system until released from th...
Active Contract Opportunity
Notice ID : BA-1291
Related Notice
Department/Ind. Agency : ENERGY, DEPARTMENT OF
Sub-tier : ENERGY, DEPARTMENT OF
Office : BATTELLE ENERGY ALLIANCE–DOE CNTR
General Information
Contract Opportunity Type: Special Notice (Original)
All Dates/Times are: (UTC-05:00) EASTERN STANDARD TIME, NEW YORK, USA
Original Published Date: Nov 10, 2022 01:02 pm EST
Original Response Date: Nov 30, 2022 11:00 am EST
Inactive Policy: 15 days after response date
Original Inactive Date:
Initiative: None

Classification
Original Set Aside:
Product Service Code: 7H20 - IT AND TELECOM - PLATFORM PRODUCTS: DATABASE, MAINFRAME, MIDDLEWARE (HW, PERPETUAL LICENSE SOFTWARE)
NAICS Code: 518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Place of Performance: Idaho Falls, ID 83415 USA

Documents

 Tender Notice