English(EN) SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration

SecureScan AI框架将恶意软件和网络钓鱼检测准确率提升至93%

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-29 04:00

研究人员开发了SecureScan，一个三层AI框架，旨在检测复杂的恶意软件和网络钓鱼尝试。该系统结合了用于分类的逻辑回归、用于初步过滤的启发式分析以及用于外部威胁情报的VirusTotal API。SecureScan在基准数据集上达到了93.1%的准确率，重点是通过校准阈值和灰色区域逻辑来最大限度地减少误报。 AI

影响为网络安全威胁检测提供了比复杂深度学习模型更轻量级、更有效的替代方案。

排序理由详细介绍新的人工智能驱动的安全框架的学术论文。

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arXiv cs.CV TIER_1 English(EN) · Rumman Firdos, Aman Dangi · 2026-04-29 04:00

SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration

arXiv:2602.10750v2 Announce Type: replace-cross Abstract: The growing sophistication of modern malware and phishing campaigns has diminished the effectiveness of traditional signature-based intrusion detection systems. This work presents SecureScan, an AI-driven, triple-layer det…

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SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration

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