R. Pateriya

Design of an improved validation model with dynamic attribution and graph-based anomaly analysis for malware forensics

The increasing sophistication and polymorphic nature of malware necessitate intelligent, adaptive forensic frameworks that go beyond static rule-based detection. In particular, the traditional techniques for evidence collection and analysis would not catch the evolving behaviors of advanced malware, lack context-aware...