A comprehensive survey on deep learning based malware detection techniques
M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
The evolution of android malware and android analysis techniques
With the integration of mobile devices into daily life, smartphones are privy to increasing
amounts of sensitive information. Sophisticated mobile malware, particularly Android …
amounts of sensitive information. Sophisticated mobile malware, particularly Android …
[HTML][HTML] MalDozer: Automatic framework for android malware detection using deep learning
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 …
MAPAS: a practical deep learning-based android malware detection system
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …
surge of studies have been conducted to protect users from newly emerging malware by …
[PDF][PDF] Drebin: Effective and explainable detection of android malware in your pocket.
Malicious applications pose a threat to the security of the Android platform. The growing
amount and diversity of these applications render conventional defenses largely ineffective …
amount and diversity of these applications render conventional defenses largely ineffective …
Droiddetector: android malware characterization and detection using deep learning
Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android
has been the most popular mobile operating system since 2012. However, owing to the …
has been the most popular mobile operating system since 2012. However, owing to the …
Amandroid: A precise and general inter-component data flow analysis framework for security vetting of android apps
We present a new approach to static analysis for security vetting of Android apps and a
general framework called Amandroid. Amandroid determines points-to information for all …
general framework called Amandroid. Amandroid determines points-to information for all …
Iccta: Detecting inter-component privacy leaks in android apps
Shake Them All is a popular" Wallpaper" application exceeding millions of downloads on
Google Play. At installation, this application is given permission to (1) access the Internet (for …
Google Play. At installation, this application is given permission to (1) access the Internet (for …
Android security: a survey of issues, malware penetration, and defenses
Smartphones have become pervasive due to the availability of office applications, Internet,
games, vehicle guidance using location-based services apart from conventional services …
games, vehicle guidance using location-based services apart from conventional services …
Mamadroid: Detecting android malware by building markov chains of behavioral models (extended version)
As Android has become increasingly popular, so has malware targeting it, thus motivating
the research community to propose different detection techniques. However, the constant …
the research community to propose different detection techniques. However, the constant …