A review on feature selection in mobile malware detection
The widespread use of mobile devices in comparison to personal computers has led to a
new era of information exchange. The purchase trends of personal computers have started …
new era of information exchange. The purchase trends of personal computers have started …
Malicious application detection in android—a systematic literature review
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …
gadgets became an essential necessity of day-to-day life. People are using new …
A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software
In parallel with the meteoric rise of mobile software, we are witnessing an alarming
escalation in the number and sophistication of the security threats targeted at mobile …
escalation in the number and sophistication of the security threats targeted at mobile …
Constructing features for detecting android malicious applications: issues, taxonomy and directions
The number of applications (apps) available for smart devices or Android based IoT (Internet
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …
Machine learning-assisted signature and heuristic-based detection of malwares in Android devices
ZU Rehman, SN Khan, K Muhammad, JW Lee… - Computers & Electrical …, 2018 - Elsevier
Malware detection is an important factor in the security of the smart devices. However,
currently utilized signature-based methods cannot provide accurate detection of zero-day …
currently utilized signature-based methods cannot provide accurate detection of zero-day …
A detection method for android application security based on TF-IDF and machine learning
H Yuan, Y Tang, W Sun, L Liu - Plos one, 2020 - journals.plos.org
Android is the most widely used mobile operating system (OS). A large number of third-party
Android application (app) markets have emerged. The absence of third-party market …
Android application (app) markets have emerged. The absence of third-party market …
Android malware detection using deep learning on api method sequences
Android OS experiences a blazing popularity since the last few years. This predominant
platform has established itself not only in the mobile world but also in the Internet of Things …
platform has established itself not only in the mobile world but also in the Internet of Things …
Comparative study of term-weighting schemes for environmental big data using machine learning
Widely-used term-weighting schemes and machine learning (ML) classifiers with default
parameter settings were assessed for their performance when applied to environmental big …
parameter settings were assessed for their performance when applied to environmental big …
Identifying major research areas and minor research themes of android malware analysis and detection field using LSA
Contemporary technologies have ensured the availability of high‐quality research data
shared over the Internet. This has resulted in a tremendous availability of research literature …
shared over the Internet. This has resulted in a tremendous availability of research literature …
Securank: Starving permission-hungry apps using contextual permission analysis
VF Taylor, I Martinovic - Proceedings of the 6th Workshop on Security …, 2016 - dl.acm.org
Competition among app developers has caused app stores to be permeated with many
groups of general-purpose apps that are functionally-similar. Examples are the many …
groups of general-purpose apps that are functionally-similar. Examples are the many …