From intrusion detection to an intrusion response system: fundamentals, requirements, and future directions

S Anwar, J Mohamad Zain, MF Zolkipli, Z Inayat… - algorithms, 2017 - mdpi.com
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 …

Malicious application detection in android—a systematic literature review

T Sharma, D Rattan - Computer Science Review, 2021 - Elsevier
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 …

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 …

Deep learning techniques for android botnet detection

SY Yerima, MK Alzaylaee, A Shajan, VP - Electronics, 2021 - mdpi.com
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 …

Machine learning approach for detecting and combating bring your own device (BYOD) security threats and attacks: a systematic mapping review

CI Eke, AA Norman, M Mulenga - Artificial Intelligence Review, 2023 - Springer
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 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 …

A novel android botnet detection system using image-based and manifest file features

SY Yerima, A Bashar - Electronics, 2022 - mdpi.com
Malicious botnet applications have become a serious threat and are increasingly
incorporating sophisticated detection avoidance techniques. Hence, there is a need for more …

Mobile botnet detection: a comprehensive survey

S Hamzenejadi, M Ghazvini, S Hosseini - International Journal of …, 2023 - Springer
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 …

Android botnet detection using machine learning models based on a comprehensive static analysis approach

J Alqatawna, AZ Ala'M, MA Hassonah, H Faris - Journal of Information …, 2021 - Elsevier
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 …

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 …