论文标题

适应社会工程检测和响应生成的词汇组织

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

论文作者

Bhatia, Archna, Dalton, Adam, Mather, Brodie, Santhanam, Sashank, Shaikh, Samira, Zemel, Alan, Strzalkowski, Tomek, Dorr, Bonnie J.

论文摘要

我们提出了一种基于词汇概念结构的可扩展词典发展的范式,以支持社会工程检测和响应产生。我们利用询问的中心概念(启发了诸如提供货币获取的行为)和框架(询问所隐含的风险/回报)。我们通过对我们的词汇组织的改进来证明问答/框架检测的改进,并表明随着问答/框架检测性能的改善,响应产生在定性上有所改善。该范式提出了一种系统,高效的资源适应方法,以提高特定于任务的性能。

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.

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