SBIR/STTR Research Award

Highly Secure Adaptive Arithmetic Coding Data Compression System

Award identifier 7c41aee2710834bd7d13e2045d0b09844623a5ab63fe1fbcb09af17663e479d3Awarding agency Department of Defense · Missile Defense Agency

Award amount

$69,993

Program and phase

SBIR · Phase I

Award year

2003

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
Physical Optics Corporation
Proposal award date
Not reported
Contract end date
Not reported
UEI
DG3AB4E8R4D8
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Physical Optics Corporation (POC) proposes to develop a novel highly Secure Adaptive Arithmetic Coding (SAAC) data compression system for theater missile defense. The proposed SAAC algorithm will for the first time combine near optimal data compressionwith high data security. The SAAC adaptive Markov model will exploit the structural redundancy in the data sequence to maximize compression, and the large number of states in the adaptive Markov model will make it extremely difficult for attackers totrace the current state of the encoder by reverse engineering. The adaptive Markov model acts as a very large key, which depends on the entire data sequence that has been encoded so far. To further enhance data security, the compressed bit stream will bemasked by another pseudo-random bit stream. POC will implement the SAAC algorithm on the company's third generation Processing and Ultra-Memory Access eight-billion-operation-per-second 2 in. x 3 in. hardware to support real-time high data ratecommunications. In Phase I, POC will demonstrate the proof-of-principle of the SAAC technology by compressing data streams resembling TMD data in relevant respects in a secure environment, and will demonstrate the feasibility of integrating the resultingmodule into an existing MDA system. Bandwidth is always a precious resource in data communication systems with more and more information to transmit, and security is critical to data networks. The proposed technology will find numerous applications incurrent and future data communication systems to enhance data security and the efficiency of bandwidth usage. The SAAC technology will be perfectly suited to e-commerce systems in which large volumes of sensitive data are transmitted. Boston ConsultingGroup (BCG) estimates that U.S. B2B e-commerce will grow from $1.2 trillion in 2000 to $4.8 trillion in transaction value by 2004.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

1,933 SBIR/STTR records share this UEI (1986–2021). Reported award amounts total $549,686,800. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Energy, National Aeronautics and Space Administration, Department of Health and Human Services, National Science Foundation, Department of Homeland Security

Contractor profile

PHYSICAL OPTICS CORPORATION

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

NAICS intelligence

This classification comes from the contractor profile, not from the SBIR award record.

Contractor industry classification NAICS 541512

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.