Adaptation of a Lexical Organization for Social Engineering Detection and Response Generation

We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation. We leverage the central notions of ask (elicitation of behaviors such as providing access to money) and framing (risk/reward implied by the...

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Bibliographic Details
Published inarXiv.org
Main Authors Bhatia, Archna, Dalton, Adam, Mather, Brodie, Santhanam, Sashank, Shaikh, Samira, Zemel, Alan, Strzalkowski, Tomek, Dorr, Bonnie J
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 20.04.2020
Subjects
Adaptation
Framing
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Summary:We present a paradigm for extensible lexicon development based on Lexical Conceptual Structure to support social engineering detection and response generation. We leverage the central notions of ask (elicitation of behaviors such as providing access to money) and framing (risk/reward implied by the ask). We demonstrate improvements in ask/framing detection through refinements to our lexical organization and show that response generation qualitatively improves as ask/framing detection performance improves. The paradigm presents a systematic and efficient approach to resource adaptation for improved task-specific performance.
ISSN:2331-8422