Ioc-Mldroid: a Hybrid Approach for Detection of Android Based Malicious Applications Using Indicators of Compromise (Iocs) and Machine Learning
The work provides an expandable and explainable android malware detection architecture that can be used in academic research, enterprise security operations, and advanced digital forensic investigation, and which may be extended in the future to the scale of validation and on-device detection.