Vishing: Detecting social engineering in spoken communication — A first survey & urgent roadmap to address an emerging societal challenge

Vishing – the use of voice calls for phishing – is a form of Social Engineering (SE) attacks. The latter have become a pervasive challenge in modern societies, with over 300,000 yearly victims in the US alone. An increasing number of those attacks is conducted via voice communication, be it through machine-generated ‘robocalls’ or human actors. The goals of ‘social engineers’ can be manifold, from outright fraud to more subtle forms of persuasion. Accordingly, social engineers adopt multi-faceted strategies for voice-based attacks, utilising a variety of ‘tricks’ to exert influence and achieve their goals. Importantly, while organisations have set in place a series of guardrails against other types of SE attacks, voice calls still remain ‘open ground’ for potential bad actors. In the present contribution, we provide an overview of the existing speech technology subfields that need to coalesce into a protective net against one of the major challenges to societies worldwide. Given the dearth of speech science and technology works targeting this issue, we have opted for a narrative review that bridges the gap between the existing psychological literature on the topic and research that has been pursued in parallel by the speech community on some of the constituent constructs. Our review reveals that very little literature exists on addressing this very important topic from a speech technology perspective, an omission further exacerbated by the lack of available data. Thus, our main goal is to highlight this gap and sketch out a roadmap to mitigate it, beginning with the psychological underpinnings of vishing, which primarily include deception and persuasion strategies, continuing with the speech-based approaches that can be used to detect those, as well as the generation and detection of AI-based vishing attempts, and close with a discussion of ethical and legal considerations. • Vishing is an emerging security problem. • Generative artificial intelligence will exacerbate the issue. • Speech-based detection is urgently needed. • Beyond detection performance, effective interventions are warranted.

Authors

Publication Details

Journal
Computer Speech & Language
Published
2025-04-15
DOI
https://doi.org/10.1016/j.csl.2025.101802
Citations
5
Primary Topic
Deception detection and forensic psychology
Type
article
Field-Weighted Citation Impact
12.19

Funders

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article

Vishing: Detecting social engineering in spoken communication — A first survey & urgent roadmap to address an emerging societal challenge

Andreas Triantafyllopoulos, Björn W. Schuller, Verena Distler, Xin Jing et al.
5 citations
Computer Speech & Language
Deception detection and forensic psychology
12.19
article

Vishing: Detecting social engineering in spoken communication — A first survey & urgent roadmap to address an emerging societal challenge

Andreas Triantafyllopoulos, Björn W. Schuller, Verena Distler, Xin Jing, Florian Alt, Felix Dietz, Anika A. Spiesberger, Iosif Tsangko
article en
5 citations

Abstract

Vishing – the use of voice calls for phishing – is a form of Social Engineering (SE) attacks. The latter have become a pervasive challenge in modern societies, with over 300,000 yearly victims in the US alone. An increasing number of those attacks is conducted via voice communication, be it through machine-generated ‘robocalls’ or human actors. The goals of ‘social engineers’ can be manifold, from outright fraud to more subtle forms of persuasion. Accordingly, social engineers adopt multi-faceted strategies for voice-based attacks, utilising a variety of ‘tricks’ to exert influence and achieve their goals. Importantly, while organisations have set in place a series of guardrails against other types of SE attacks, voice calls still remain ‘open ground’ for potential bad actors. In the present contribution, we provide an overview of the existing speech technology subfields that need to coalesce into a protective net against one of the major challenges to societies worldwide. Given the dearth of speech science and technology works targeting this issue, we have opted for a narrative review that bridges the gap between the existing psychological literature on the topic and research that has been pursued in parallel by the speech community on some of the constituent constructs. Our review reveals that very little literature exists on addressing this very important topic from a speech technology perspective, an omission further exacerbated by the lack of available data. Thus, our main goal is to highlight this gap and sketch out a roadmap to mitigate it, beginning with the psychological underpinnings of vishing, which primarily include deception and persuasion strategies, continuing with the speech-based approaches that can be used to detect those, as well as the generation and detection of AI-based vishing attempts, and close with a discussion of ethical and legal considerations. • Vishing is an emerging security problem. • Generative artificial intelligence will exacerbate the issue. • Speech-based detection is urgently needed. • Beyond detection performance, effective interventions are warranted.

Computer Speech & LanguageVol. 94
Horizon 2020 Framework Programme
Reduced inequalities
Openalex Percentile: Top 2%
Deception detection and forensic psychology
12.19
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