SCVI: Bridging Social and Cyber Dimensions for Comprehensive Vulnerability Assessment

Fuente: arXiv

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Bibliographic Details
Main Authors:	Mitra, Shutonu, Neguyen, Tomas, Zhang, Qi, Kim, Hyungmin, Salemi, Hossein, Chang, Chen-Wei, Zhang, Fengxiu, Hong, Michin, Lu, Chang-Tien, Purohit, Hemant, Cho, Jin-Hee
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Computers and Society
Online Access:	Acceder al recurso
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_version_	1866909554316410880
author	Mitra, Shutonu Neguyen, Tomas Zhang, Qi Kim, Hyungmin Salemi, Hossein Chang, Chen-Wei Zhang, Fengxiu Hong, Michin Lu, Chang-Tien Purohit, Hemant Cho, Jin-Hee
author_facet	Mitra, Shutonu Neguyen, Tomas Zhang, Qi Kim, Hyungmin Salemi, Hossein Chang, Chen-Wei Zhang, Fengxiu Hong, Michin Lu, Chang-Tien Purohit, Hemant Cho, Jin-Hee
contents	The rise of cyber threats on social media platforms necessitates advanced metrics to assess and mitigate social cyber vulnerabilities. This paper presents the Social Cyber Vulnerability Index (SCVI), a novel framework integrating individual-level factors (e.g., awareness, behavioral traits, psychological attributes) and attack-level characteristics (e.g., frequency, consequence, sophistication) for comprehensive socio-cyber vulnerability assessment. SCVI is validated using survey data (iPoll) and textual data (Reddit scam reports), demonstrating adaptability across modalities while revealing demographic disparities and regional vulnerabilities. Comparative analyses with the Common Vulnerability Scoring System (CVSS) and the Social Vulnerability Index (SVI) show the superior ability of SCVI to capture nuanced socio-technical risks. Monte Carlo-based weight variability analysis confirms SCVI is robust and highlights its utility in identifying high-risk groups. By addressing gaps in traditional metrics, SCVI offers actionable insights for policymakers and practitioners, advancing inclusive strategies to mitigate emerging threats such as AI-powered phishing and deepfake scams.
format	Preprint
id	arxiv_https___arxiv_org_abs_2503_20806
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	SCVI: Bridging Social and Cyber Dimensions for Comprehensive Vulnerability Assessment Mitra, Shutonu Neguyen, Tomas Zhang, Qi Kim, Hyungmin Salemi, Hossein Chang, Chen-Wei Zhang, Fengxiu Hong, Michin Lu, Chang-Tien Purohit, Hemant Cho, Jin-Hee Cryptography and Security Computers and Society The rise of cyber threats on social media platforms necessitates advanced metrics to assess and mitigate social cyber vulnerabilities. This paper presents the Social Cyber Vulnerability Index (SCVI), a novel framework integrating individual-level factors (e.g., awareness, behavioral traits, psychological attributes) and attack-level characteristics (e.g., frequency, consequence, sophistication) for comprehensive socio-cyber vulnerability assessment. SCVI is validated using survey data (iPoll) and textual data (Reddit scam reports), demonstrating adaptability across modalities while revealing demographic disparities and regional vulnerabilities. Comparative analyses with the Common Vulnerability Scoring System (CVSS) and the Social Vulnerability Index (SVI) show the superior ability of SCVI to capture nuanced socio-technical risks. Monte Carlo-based weight variability analysis confirms SCVI is robust and highlights its utility in identifying high-risk groups. By addressing gaps in traditional metrics, SCVI offers actionable insights for policymakers and practitioners, advancing inclusive strategies to mitigate emerging threats such as AI-powered phishing and deepfake scams.
title	SCVI: Bridging Social and Cyber Dimensions for Comprehensive Vulnerability Assessment
topic	Cryptography and Security Computers and Society
url	https://arxiv.org/abs/2503.20806