MEGDroid: A model-driven event generation framework for dynamic android malware analysis

Author:

Hasan Hayyan,Tork Ladani Behrouz,Zamani Bahman

Publisher

Elsevier BV

Subject

Computer Science Applications,Information Systems,Software

Reference47 articles.

1. Android Dominating Mobile Market;Research,2020

2. A study of run-time behavioral evolution of benign versus malicious apps in android;Cai;Inf. Softw. Technol.,2020

3. CANDYMAN: classifying Android malware families by modelling dynamic traces with Markov chains;Martín;Eng. Appl. Artif. Intell.,2018

4. DynaLog : an automated dynamic analysis framework for characterizing Android applications;Alzaylaee,2017

5. MADAM : effective and Efficient Behavior-based Android Malware Detection and Prevention;Saracino;IEEE Trans. Dependable Secure Comput.,2016

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