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SecureScan AI framework boosts malware and phishing detection accuracy to 93%

Researchers have developed SecureScan, a three-layer AI framework designed to detect sophisticated malware and phishing attempts. This system combines logistic regression for classification, heuristic analysis for initial filtering, and the VirusTotal API for external threat intelligence. SecureScan achieved 93.1% accuracy on benchmark datasets, with a focus on minimizing false positives through calibrated thresholds and gray-zone logic. AI

影响 Offers a lightweight, effective alternative to complex deep learning models for cybersecurity threat detection.

排序理由 Academic paper detailing a new AI-driven security framework.

在 arXiv cs.CV 阅读 →

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SecureScan AI framework boosts malware and phishing detection accuracy to 93%

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Rumman Firdos, Aman Dangi ·

    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…