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Automation Technologies

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May 20, 2017,
Smithsonian National Museum of American History
On May 20, DARPA is taking part in Military Invention Day at the Smithsonian National Museum of American History, an event produced by the Lemelson Center for the Study of Invention and Innovation. The event will showcase examples of today’s leading-edge military inventions alongside historical technologies from the Museum’s collections.
07/29/2016
Throughout game day, DARPA is roaming around the Paris Las Vegas Convention Center to capture attendees’ reflections on the historic experiment in cyber security unfolding before them.
The current standard method for validating a user’s identity for authentication on an information system requires humans to do something that is inherently unnatural: create, remember, and manage long, complex passwords. Moreover, as long as the session remains active, typical systems incorporate no mechanisms to verify that the user originally authenticated is the user still in control of the keyboard. Thus unauthorized individuals may improperly obtain extended access to information system resources if a password is compromised or if a user does not exercise adequate vigilance after initially authenticating at the console.
To be effective, Department of Defense (DoD) cybersecurity solutions require rapid development times. The shelf life of systems and capabilities is sometimes measured in days. Thus, to a greater degree than in other areas of defense, cybersecurity solutions require that DoD develops the ability to build quickly, at scale and over a broad range of capabilities.
Some of the systems that matter most to the Defense Department are very complicated. Ecosystems, brains and economic and social systems have many parts and processes, but they are studied piecewise, and their literatures and data are fragmented, distributed and inconsistent. It is difficult to build complete, explanatory models of complicated systems, and so effects in these systems that are brought about by many interacting factors are poorly understood.
| AI | Automation | Data |