Cyber security program launched
at DARPA to safeguard private
and proprietary information
March 12, 2015
ARLINGTON, Va., 12 March 2015.U.S. military researchers are
kicking off a cyber security program to develop ways to keep private
and proprietary information private, as well as to understand how
to build information systems that ensure private data can be used
only for its intended purpose and no other.
Officials of the U.S. Defense Advanced Research Projects Agency
(DARPA) in Arlington, Va., issued a solicitation Wednesday
(DARPA-BAA-15-29) for the Brandeis program, which aims to
develop ways of protecting the private and proprietary information
of individuals and enterprises.
DARPA cyber security experts are briefing industry about the Brandeis
program today in Arlington, Va.
Privacy is critical to a free society, DARPA researchers say. As Louis
Brandeis said in 1890, the right to privacy is a consequence of
understanding that harm comes in more ways than just the physical.
He was reacting to the ability of the new “instantaneous camera” to
record personal information in new ways.
Since then, the ability of technology to collect and share information has
grown beyond all expectation. DARPA researchers are reaching out to
industry for ways to continue the benefits of information sharing, while
safeguarding the private information of individuals and businesses.
The White House has made cyber security a priority and has launched
initiatives to enable the safe and effective sharing of information to
increase the nation’s ability to protect itself and to thwart any adversary’s
ability to shut down our networks, steal trade secrets, or invade the
privacy of Americans, researchers say.
The Brandeis program seeks to develop the technical means to protect
the private and proprietary information of individuals and enterprises.
Government experts today typically must choose between maintaining
privacy and tapping into huge reservoirs of important data. The Brandeis
program seeks to find a third option: finding a safe and predictable way
to share data that preserves privacy.
Potential benefits are great, DARPA researchers point out. Assured data
privacy could lead the way to personal medicine that capitalizes on
cross-linked genotype and phenotype data; smart cities that optimize
buildings, energy use, and traffic controls minute by minute; compiling
detailed global data where every car gathers data on the environment,
weather, and emergency situations; and fine-grain Internet awareness
where every company and device shares network and cyber-attack data.
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The Brandeis program has four technical areas:
privacy-preserving computation; human data interaction; experimental
systems; and metrics and analysis.
privacy-preserving computation; human data interaction; experimental
systems; and metrics and analysis.
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Ultimately DARPA could award several contracts in each of these four
technical areas, worth a cumulative total of as much as $60 million.
The program will last for 4.5 years and will have three 18-month phases.
technical areas, worth a cumulative total of as much as $60 million.
The program will last for 4.5 years and will have three 18-month phases.
Privacy-preserving computation seeks to enable privacy-preserving
computation techniques that future system designers can use as
building blocks, with mechanisms to leverage a small amount of
private computation for a large computational effect.
computation techniques that future system designers can use as
building blocks, with mechanisms to leverage a small amount of
private computation for a large computational effect.
Human data interaction involves enabling humans to control their data
by expressing high-level intentions, like “I don’t want my data to be used
against me," with new interfaces that capture privacy intentions. This
technical area also may involve machine learning and automated agents
across distributed devices.
by expressing high-level intentions, like “I don’t want my data to be used
against me," with new interfaces that capture privacy intentions. This
technical area also may involve machine learning and automated agents
across distributed devices.
Experimental systems involves new ways to build privacy-aware systems
to protect data at source, and ways to test these ideas in practice. Metrics
and analysis, meanwhile, involves ways to quantify the privacy benefits and
costs of a system, developing analysis tools to assess privacy technologies
as they are used.
to protect data at source, and ways to test these ideas in practice. Metrics
and analysis, meanwhile, involves ways to quantify the privacy benefits and
costs of a system, developing analysis tools to assess privacy technologies
as they are used.
Companies interested should upload proposals no later than 29 April 2015
to DARPA at https://baa.darpa.mil. Email questions or concerns to John
Launchbury, the DARPA Brandeis program manager, at Brandeis@darpa.mil.
to DARPA at https://baa.darpa.mil. Email questions or concerns to John
Launchbury, the DARPA Brandeis program manager, at Brandeis@darpa.mil.
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