From intrusion detection to an intrusion response system: fundamentals, requirements, and future directions
In the past few decades, the rise in attacks on communication devices in networks has
resulted in a reduction of network functionality, throughput, and performance. To detect and …
resulted in a reduction of network functionality, throughput, and performance. To detect and …
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 …
Artificial intelligence algorithms for malware detection in android-operated mobile devices
H Alkahtani, THH Aldhyani - Sensors, 2022 - mdpi.com
With the rapid expansion of the use of smartphone devices, malicious attacks against
Android mobile devices have increased. The Android system adopted a wide range of …
Android mobile devices have increased. The Android system adopted a wide range of …
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 …
Machine learning approach for detecting and combating bring your own device (BYOD) security threats and attacks: a systematic mapping review
Bring your own device (BYOD) paradigm that permits employees to come with their own
mobile devices to join the organizational network is rapidly changing the organizational …
mobile devices to join the organizational network is rapidly changing the organizational …
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 …
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 …
Mobile botnet detection: a comprehensive survey
The number of people using mobile devices is increasing as mobile devices offer different
features and services. Many mobile users install various applications on their mobile …
features and services. Many mobile users install various applications on their mobile …
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 …
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 …