Applications of artificial intelligence to detect android botnets: a survey
AM Almuhaideb, DY Alynanbaawi - IEEE Access, 2022 - ieeexplore.ieee.org
From the growing popularity of Android smart devices, and especially with the recent
advances brought on by the COVID-19 pandemic on digital adoption and transformation, the …
advances brought on by the COVID-19 pandemic on digital adoption and transformation, the …
Android botnet detection using convolutional neural networks
S Hojjatinia, S Hamzenejadi… - 2020 28th Iranian …, 2020 - ieeexplore.ieee.org
Today, Android devices are capable of providing various services. They support applications
for different purposes, such as entertainment, business, health, education, and banking …
for different purposes, such as entertainment, business, health, education, and banking …
Mobile botnet detection: A deep learning approach using convolutional neural networks
SY Yerima, MK Alzaylaee - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Android, being the most widespread mobile operating systems is increasingly becoming a
target for malware. Malicious apps designed to turn mobile devices into bots that may form …
target for malware. Malicious apps designed to turn mobile devices into bots that may form …
Deep learning techniques for android botnet detection
Android is increasingly being targeted by malware since it has become the most popular
mobile operating system worldwide. Evasive malware families, such as Chamois, designed …
mobile operating system worldwide. Evasive malware families, such as Chamois, designed …
[PDF][PDF] Android botnets: a serious threat to android devices.
Android devices have gained a lot of attention in the last few decades due to several
reasons including ease of use, effectiveness, availability and games, among others. To take …
reasons including ease of use, effectiveness, availability and games, among others. To take …
ABC: android botnet classification using feature selection and classification algorithms
Smartphones have become an important part of human lives, and this led to an increase
number of smartphone users. However, this also attracts hackers to develop malicious …
number of smartphone users. However, this also attracts hackers to develop malicious …
Android botnet detection using machine learning models based on a comprehensive static analysis approach
Today, Android stands out amongst the most well-known and far reaching smartphones'
operating systems. It has millions of applications that are distributed at either accredited or …
operating systems. It has millions of applications that are distributed at either accredited or …
Android botnets: a proof-of-concept using hybrid analysis approach
Mobile botnets are gaining popularity with the expressive demand of smartphone
technologies. Similarly, the majority of mobile botnets are built on a popular open source …
technologies. Similarly, the majority of mobile botnets are built on a popular open source …
A novel android botnet detection system using image-based and manifest file features
Malicious botnet applications have become a serious threat and are increasingly
incorporating sophisticated detection avoidance techniques. Hence, there is a need for more …
incorporating sophisticated detection avoidance techniques. Hence, there is a need for more …
A deep learning-enhanced botnet detection system based on Android manifest text mining
SY Yerima, YM To - … on Digital Forensics and Security (ISDFS), 2022 - ieeexplore.ieee.org
Android botnets remain a significant threat to mobile and IoT systems and networks as they
continue to infect millions of devices worldwide. Therefore, there is a need to develop more …
continue to infect millions of devices worldwide. Therefore, there is a need to develop more …