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

TL;DR

This paper introduces an extensible lexical framework based on Lexical Conceptual Structure to enhance social engineering detection and response, demonstrating improved detection accuracy and response quality through systematic resource adaptation.

Contribution

It proposes a novel lexical organization paradigm for social engineering detection and response, improving task-specific performance via systematic resource adaptation.

Findings

Enhanced ask/framing detection accuracy

Qualitative improvement in response generation

Systematic approach to resource adaptation

Abstract

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.