FinTechs increasing connectivity, rapid innovation, and reliance on global digital infrastructures present significant cybersecurity challenges. Traditional cybersecurity frameworks often struggle to identify and prioritize sector-specific vulnerabilities or adapt to evolving adversary tactics, particularly in highly targeted sectors such as FinTech. To address these gaps, we propose ISADM (Integrated STRIDE-ATTACK-D3FEND Threat Model), a novel hybrid methodology applied to FinTech security that integrates STRIDE's asset-centric threat classification with MITRE ATTACK's catalog of real-world adversary behaviors and D3FEND's structured knowledge of countermeasures. ISADM employs a frequency-based scoring mechanism to quantify the prevalence of adversarial Tactics, Techniques, and Procedures (TTPs), enabling a proactive, score-driven risk assessment and prioritization framework. This proactive approach contributes to shifting organizations from reactive defense strategies toward the strategic fortification of critical assets. We validate ISADM through industry-relevant case study analyses, demonstrating how the approach replicates actual attack patterns and strengthens proactive threat modeling, guiding risk prioritization and resource allocation to the most critical vulnerabilities. Overall, ISADM offers a comprehensive hybrid threat modeling methodology that bridges asset-centric and adversary-centric analysis, providing FinTech systems with stronger defenses. The emphasis on real-world validation highlights its practical significance in enhancing the sector's cybersecurity posture through a frequency-informed, impact-aware prioritization scheme that combines empirical attacker data with contextual risk analysis.
翻译:金融科技日益增长的互联性、快速创新以及对全球数字基础设施的依赖带来了重大的网络安全挑战。传统的网络安全框架往往难以识别和优先处理特定行业的漏洞,或适应不断演变的攻击者策略,尤其是在金融科技等高度针对性行业。为弥补这些不足,我们提出ISADM(集成STRIDE-ATT&CK-D3FEND威胁模型),这是一种应用于金融科技安全的新型混合方法。它整合了STRIDE以资产为中心的威胁分类、MITRE ATT&CK的现实世界攻击者行为目录以及D3FEND的结构化防御对策知识。ISADM采用基于频率的评分机制来量化对抗性战术、技术与程序(TTPs)的普遍性,从而构建一个主动的、评分驱动的风险评估与优先级排序框架。这种主动方法有助于推动组织从被动防御策略转向对关键资产的战略性加固。我们通过行业相关案例分析验证了ISADM,展示了该方法如何复现实际攻击模式并强化主动威胁建模,从而指导风险优先级排序和资源分配,以应对最关键的漏洞。总体而言,ISADM提供了一种全面的混合威胁建模方法,桥接了以资产为中心和以攻击者为中心的分析,为金融科技系统提供了更强的防御能力。对现实世界验证的强调凸显了其实践意义:通过结合经验性攻击者数据与情境化风险分析,采用频率感知、影响感知的优先级排序方案,提升该行业的网络安全态势。