Learning to Automate Social Engineering Resistance (LASER)
Abstract
Project LASER explores and creates a suite of technologies that can radically harden enterprise security by the large scale automation of active social engineering defenses. The proposed LASER system is able to efficiently process large volume of messages, accurately detecting the attacks and the attack motives, and actively responding back to the attacker to obtain more information through well-formed high-quality response. The proposed work will shield both individuals and organization from social engineering attacks.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 2020
- Accession Number
- AD1123569
Entities
People
- Ben Y. Zhao
- Bo Li
- Christopher Ré
- Dawn Song
- Le Song
- Percy Liang
Organizations
- Georgia Tech
- Stanford University
- University of California, Berkeley
- University of Chicago
- University of Illinois Urbana–Champaign