AndroMD: An Android malware detection framework based on source code analysis and permission scanning

The rapid growth of Android-based mobile and IoT applications has significantly increased the attack surface for malicious actors. These adversaries often exploit apps and social engineering to deliver malware that compromises device security and user privacy. To address this ongoing threat, we pres...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Arvind Prasad, Shalini Chandra, Wael Mohammad Alenazy, Gauhar Ali, Sajid Shah, Mohammed ElAffendi
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-12-01
Serija:	Results in Engineering
Teme:	Malware analysis Machine learning Feature selection Cybersecurity Android malware dataset
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2590123025031068
Oznake:	Označite Brez oznak, prvi označite!