SIENNEA (BBN): Active Social Engineering Defense (ASED)

Project funded by DARPA (ASED)
PI: Jordan Boyd-Graber

The Active Social Engineering Defense (ASED) program aims to develop the core technology to enable the capability to automatically elicit information from a malicious adversary in order to identify, disrupt, and investigate social engineering attacks. If successful, the ASED technology will do this by mediating communications between users and potential attackers, actively detecting attacks and coordinating investigations to discover the identity of the attacker.

The UMD team is working to build datasets that are annotated for deception in online conversations.

	Jordan Boyd-Graber Associate Professor, Computer Science (UMD)
	Ahmed Elgohary PhD Student, Computer Science (UMD)
	Shi Feng PhD Student, Computer Science (UMD)
	Denis Peskov PhD Student, Computer Science (UMD)

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~~Pubs:ASED~~

Acknowledgments

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the researchers and do not necessarily reflect the views of the sponsor.