D Li, Q Li, Y Ye, S Xu - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Malicious software (malware) is a major cyber threat that has to be tackled with Machine Learning (ML) techniques because millions of new malware examples are injected into …
This research paper presents MLDroid—a web-based framework—which helps to detect malware from Android devices. Due to increase in the popularity of Android devices …
Abstract Network-based Intrusion Detection Systems (NIDSs) identify malicious activities by analyzing network traffic. NIDSs are trained with the samples of benign and intrusive …
N Zhang, Y Tan, C Yang, Y Li - Applied Soft Computing, 2021 - Elsevier
Android mobile devices and applications are widely deployed and used in industry and smart city. Malware detection is one of the most powerful and effective approaches to …
SK Sasidharan, C Thomas - Pervasive and Mobile Computing, 2021 - Elsevier
Popularity and openness have made the Android platform a potential target of malware attacks. The hackers continuously evolve and improve attacking strategies to identify …
V Syrris, D Geneiatakis - Journal of Information Security and Applications, 2021 - Elsevier
Although various security mechanisms have been introduced in Android operating system in order to enhance its robustness, sheer protection remains an open issue: malicious …
With the recognition of free apps, Android has become the most widely used smartphone operating system these days and it naturally invited cyber-criminals to build malware …
The rapid advancement of technologies has enabled businesses to carryout their activities seamlessly and revolutionised communications across the globe. There is a significant …
Malicious software (“malware”) has become one of the serious cybersecurity issues in Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …