MaDroid: A maliciousness-aware multifeatured dataset for detecting android malware

G Duan, H Liu, M Cai, J Sun, H Chen - Computers & Security, 2024 - Elsevier
Abstract System call sequences representing the runtime behavior of an application is
particularly useful for anomaly detection in mobile applications. However, one of the main …

MTDroid: A Moving Target Defense based Android Malware Detector against Evasion Attacks

Y Zhou, G Cheng, S Yu, Z Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Machine learning (ML) has been widely adopted for Android malware detection to deal with
serious threats brought by explosive malware attacks. However, it has been recently proven …

VADER-RF: a novel scheme for protecting user privacy on android devices

M Verma, P Nand - International Journal of System Assurance Engineering …, 2024 - Springer
Android protects user privacy through its permission system and explains permission usage
in privacy disclosure. Privacy disclosure often fails to predict app behavior accurately and …

A Privacy Leak Detection Mechanism based on Service Binding

B Wang, J He, Y Du, M Tang… - 2024 10th International …, 2024 - ieeexplore.ieee.org
With the development of mobile technology, users gradually store financial information and
personal privacy data on mobile terminals, which makes mobile security particularly …