English(EN) Hybrid LSTM-Graph Neural Framework for Robust Financial Fraud Detection and Adversarial Resilience

新AI框架FraudShield AI增强金融欺诈检测能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-23 04:00

研究人员开发了FraudShield AI，一个旨在打击洗钱等复杂金融欺诈的新型框架。该系统结合了长短期记忆（LSTM）网络和图神经网络，以分析交易的时间序列和关系网络结构。通过整合PageRank中心性和流量比等特征，FraudShield AI旨在检测传统方法可能忽略的细微网络级欺诈活动。在PaySim数据集上的实验表明，这种混合方法在识别微交易欺诈方面显著优于逻辑回归和XGBoost等基线模型。 AI

影响该框架可以提高金融欺诈检测系统在对抗不断演变的对抗性策略方面的准确性和韧性。

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arXiv cs.AI TIER_1 English(EN) · Mariam Zakaria Moussa Ali · 2026-07-23 04:00

用于稳健金融欺诈检测和对抗性韧性的混合 LSTM-图神经网络框架

arXiv:2607.19350v1 Announce Type: new Abstract: Financial institutions face significant challenges in detecting sophisticated money laundering patterns, such as smurfing and layering, due to extreme data imbalance (0.13% fraud rate) and evolving adversarial evasion tactics. This …

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用于稳健金融欺诈检测和对抗性韧性的混合 LSTM-图神经网络框架

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