Defense Advanced Research Projects AgencyTagged Content List

Technologies for Trustworthy Computing and Information

Confidence in the integrity of information and systems

Showing 35 results for Trust RSS
08/09/2018
Today, the expeditious delivery of electronic documents, messages, and other data is relied on for everything from communications to navigation. As the near instantaneous exchange of information has increased in volume, so has the variety of electronic data formats–from images and videos to text and maps. Verifying the trustworthiness and provenance of this mountain of electronic information is an exceedingly difficult task as individuals and organizations routinely engage with data shared by unauthenticated and potentially compromised sources.
August 24, 2018, 2:00 PM ET,
DARPA Conference Center
DARPA’s Information Innovation Office is hosting a Proposers Day to provide information to potential applicants on the structure and objectives of the Safe Documents (SafeDocs) program. The aim of SafeDocs is to restore trust in electronic documents and messages by mitigating one of the root causes of the Internet insecurity epidemic: exploitation of software's input-handling weaknesses via complex, maliciously crafted data inputs. The program will research methods to create technological assurance that an electronic document or message automatically checked and found well-formed is safe to open, as well as generate safer document formats that are subsets of the current untrustworthy ones, preserve existing information, and are also safe to open.
| Cyber | Trust |
June 8, 2018,
Executive Conference Center
DARPA’s Defense Sciences Office (DSO) is hosting a Proposers Day to provide information to potential proposers on the objectives of the Systematizing Confidence in Open Research and Evidence (SCORE) program. SCORE aims to develop and deploy automated tools to assign "confidence scores" to different social and behavioral science (SBS) research results and claims. Confidence scores are quantitative measures that should enable a DoD consumer of SBS research to understand the degree to which a particular claim or result is likely to be reproducible or replicable. The event will be available via a live webcast for those who would like to participate remotely.
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.
The Anomaly Detection at Multiple Scales (ADAMS) program creates, adapts and applies technology to anomaly characterization and detection in massive data sets. Anomalies in data cue the collection of additional, actionable information in a wide variety of real world contexts. The initial application domain is insider threat detection in which malevolent (or possibly inadvertent) actions by a trusted individual are detected against a background of everyday network activity.