A study of machine learning classifiers for anomaly-based mobile botnet detection

A Feizollah, NB Anuar, R Salleh… - Malaysian Journal of …, 2013 - adum.um.edu.my
In recent years, mobile devices are ubiquitous. They are employed for purposes beyond
merely making phone calls. Among the mobile operating systems, Android is the most …

Structural analysis and detection of android botnets using machine learning techniques

G Kirubavathi, R Anitha - International Journal of Information Security, 2018 - Springer
Nowadays, smartphone devices are an integral part of our lives since they enable us to
access a large variety of services from personal to banking. The worldwide popularity and …

Evaluation of machine learning classifiers for mobile malware detection

FA Narudin, A Feizollah, NB Anuar, A Gani - Soft Computing, 2016 - Springer
Mobile devices have become a significant part of people's lives, leading to an increasing
number of users involved with such technology. The rising number of users invites hackers …

[HTML][HTML] A Fuzzy Logic based feature engineering approach for Botnet detection using ANN

C Joshi, RK Ranjan, V Bharti - Journal of King Saud University-Computer …, 2022 - Elsevier
In recent years, Botnet has become one of the most dreadful type of malicious entity.
Because of the hidden and carrying capacity of Botnet, the detection task has become a real …

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 …

Botnet detection using graph-based feature clustering

S Chowdhury, M Khanzadeh, R Akula, F Zhang… - Journal of Big Data, 2017 - Springer
Detecting botnets in a network is crucial because bots impact numerous areas such as cyber
security, finance, health care, law enforcement, and more. Botnets are becoming more …

A new mobile botnet classification based on permission and API calls

M Yusof, MM Saudi, F Ridzuan - 2017 Seventh International …, 2017 - ieeexplore.ieee.org
Currently, mobile botnet attacks have shifted from computers to smartphones due to its
functionality, ease to exploit, and based on financial intention. Mostly, it attacks Android due …

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 …

SMARTbot: A behavioral analysis framework augmented with machine learning to identify mobile botnet applications

A Karim, R Salleh, MK Khan - PloS one, 2016 - journals.plos.org
Botnet phenomenon in smartphones is evolving with the proliferation in mobile phone
technologies after leaving imperative impact on personal computers. It refers to the network …

[PDF][PDF] Detecting malware families and subfamilies using machine learning algorithms: an empirical study

E Odat, B Alazzam, QM Yaseen - International Journal of …, 2022 - researchgate.net
Machine learning algorithms have proved their effectiveness in detecting malware. This
paper conducts an empirical study to demonstrate the effectiveness of selected machine …