Impact Factor
Call For Paper
Volume 12 Issue 07
July 2026
Author(s)
Abstract
Email Attachments Remain A Primary Vector For Phishing And Malware Attacks, With Traditional Signature-based Defences Struggling Against Zero-day Threats. This Paper Introduces Opaline, A Proactive Defence System That Leverages Deep Learning Models Like RoBERTa To Analyse Textual Semantics And Structural Features In Attachments Such As PDFs And Documents, Achieving Early Detection Before User Interaction. By Integrating Sandbox Isolation And Automated Sanitization—converting Suspicious Files Into Safe Static Previews—Opaline Minimizes Risks While Preserving Workflow Usability, Offering A Practical Advancement Over Resource-heavy Existing Solutions.
Keywords
Paper ID
IJSARTV12I3104617
Publication Date
March 1, 2026
Research Area
Information Technology