A review of android malware detection approaches based on machine learning
K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …
malware is also emerging in an endless stream. Many researchers have studied the …
Security and privacy in cloud computing: technical review
YS Abdulsalam, M Hedabou - Future Internet, 2021 - mdpi.com
Advances in the usage of information and communication technologies (ICT) has given rise
to the popularity and success of cloud computing. Cloud computing offers advantages and …
to the popularity and success of cloud computing. Cloud computing offers advantages and …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
On the effectiveness of machine and deep learning for cyber security
Machine learning is adopted in a wide range of domains where it shows its superiority over
traditional rule-based algorithms. These methods are being integrated in cyber detection …
traditional rule-based algorithms. These methods are being integrated in cyber detection …
Performance evaluation of Botnet DDoS attack detection using machine learning
Botnet is regarded as one of the most sophisticated vulnerability threats nowadays. A large
portion of network traffic is dominated by Botnets. Botnets are conglomeration of trade PCs …
portion of network traffic is dominated by Botnets. Botnets are conglomeration of trade PCs …
Mobile malware attacks: Review, taxonomy & future directions
A pervasive increase in the adoption rate of smartphones with Android OS is noted in recent
years. Android's popular and attractive environment not only captured the attention of users …
years. Android's popular and attractive environment not only captured the attention of users …
Androdialysis: Analysis of android intent effectiveness in malware detection
The wide popularity of Android systems has been accompanied by increase in the number
of malware targeting these systems. This is largely due to the open nature of the Android …
of malware targeting these systems. This is largely due to the open nature of the Android …
Machine learning techniques applied to cybersecurity
J Martínez Torres, C Iglesias Comesaña… - International Journal of …, 2019 - Springer
Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …
linearity problems of different topics: prediction, classification, data association, data …
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 …
Machine learning based mobile malware detection using highly imbalanced network traffic
In recent years, the number and variety of malicious mobile apps have increased drastically,
especially on Android platform, which brings insurmountable challenges for malicious app …
especially on Android platform, which brings insurmountable challenges for malicious app …