SBIR/STTR Research Award

Virtual Information Model (VIM) Secure and compressed packet network communications

Award identifier bc334d997b0654f75a39945b4f21b60043fb1cc077943a26ccfbbd7f601969b5Awarding agency Department of Defense · Navy

Award amount

$70,000

Program and phase

SBIR · Phase I

Award year

1996

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
Omni Dimensional Networks
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Multimedia packet switching communication networks are now being installed worldwide, including the Internet, ATM, the future information super-highway and wireless cellular networks. The NAVY must have access to these networks while maintaining complete internal communications security. A new lossless data compression technique, based on a new information theory known as the self-learning Autosophy networks, has recently become available. Applications already include disc file compression software, the V.42bis modem standard and lossless graphics image compression. The same methods may be adapted to compress text, audio, graphics or live television. In the new Autosophy information theory "information" is redefined to depend on data "content", such as "novelty" and "movement", only. Everything already known to the receiver is redundant and need not be transmitted. The result is great lossless data compression and a communications method especially suitable for packet switching networks. Additional benefits include: error resistance, a virtually unbreakable "codebook" encryption and complete freedom from hardware parameter, such as image size, resolution or scanning rates in television. A universal packet switching network protocol may be defined for any type of data which would remain valid for any future evolution or improvement in communications hardware. This may greatly improve all NAVY communications.

Technology keywords

Not reported

Agency intelligence

Department of Defense

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