A state-of-the-art survey of malware detection approaches using data mining techniques
A Souri, R Hosseini - Human-centric Computing and Information Sciences, 2018 - Springer
Data mining techniques have been concentrated for malware detection in the recent
decade. The battle between security analyzers and malware scholars is everlasting as …
decade. The battle between security analyzers and malware scholars is everlasting as …
A comprehensive survey on machine learning techniques for android malware detection
V Kouliaridis, G Kambourakis - Information, 2021 - mdpi.com
Year after year, mobile malware attacks grow in both sophistication and diffusion. As the
open source Android platform continues to dominate the market, malware writers consider it …
open source Android platform continues to dominate the market, malware writers consider it …
Security analysis of IoT devices by using mobile computing: a systematic literature review
Internet of Things (IoT) devices are operating in various domains like healthcare
environment, smart cities, smart homes, transportation, and smart grid system. These …
environment, smart cities, smart homes, transportation, and smart grid system. These …
Hybrid malware classification method using segmentation-based fractal texture analysis and deep convolution neural network features
As the number of internet users increases so does the number of malicious attacks using
malware. The detection of malicious code is becoming critical, and the existing approaches …
malware. The detection of malicious code is becoming critical, and the existing approaches …
A survey of android application and malware hardening
In the age of increasing mobile and smart connectivity, malware poses an ever evolving
threat to individuals, societies and nations. Anti-malware companies are often the first and …
threat to individuals, societies and nations. Anti-malware companies are often the first and …
[PDF][PDF] Efficiency of malware detection in android system: A survey
MA Omer, SR Zeebaree, MA Sadeeq… - Asian Journal of …, 2021 - academia.edu
Smart phones are becoming essential in our lives, and Android is one of the most popular
operating systems. Android OS is wide-ranging in the mobile industry today because of its …
operating systems. Android OS is wide-ranging in the mobile industry today because of its …
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 …
Classification of Android apps and malware using deep neural networks
R Nix, J Zhang - 2017 International joint conference on neural …, 2017 - ieeexplore.ieee.org
Malware targeting mobile devices is a pervasive problem in modern life. The detection of
malware is essentially a software classification problem based on information gathered from …
malware is essentially a software classification problem based on information gathered from …
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 …
Security in Internet of Things: A review
Internet of Things (IoT) is the paramount virtual network that enables remote users to access
connected multimedia devices. It has dragged the attention of the community because it …
connected multimedia devices. It has dragged the attention of the community because it …