Survey on botnet detection techniques: Classification, methods, and evaluation

Y Xing, H Shu, H Zhao, D Li… - Mathematical Problems in …, 2021 - Wiley Online Library
With the continuous evolution of the Internet, as well as the development of the Internet of
Things, smart terminals, cloud platforms, and social platforms, botnets showing the …

Hybrid approaches to optimization and machine learning methods: a systematic literature review

BF Azevedo, AMAC Rocha, AI Pereira - Machine Learning, 2024 - Springer
Notably, real problems are increasingly complex and require sophisticated models and
algorithms capable of quickly dealing with large data sets and finding optimal solutions …

A hybrid intelligent approach to detect android botnet using smart self-adaptive learning-based PSO-SVM

M Moodi, M Ghazvini, H Moodi - Knowledge-Based Systems, 2021 - Elsevier
In recent years, extensive research has been conducted in the field of detecting Android
botnet, but most of the approaches introduced can provide a good answer to a limited …

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 …

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 …

BotDefender: A collaborative defense framework against botnet attacks using network traffic analysis and machine learning

A Prasad, S Chandra - Arabian Journal for Science and Engineering, 2024 - Springer
Botnets, an army of remotely controlled compromised devices called bots, routinely cause
severe damage to infrastructures and organizations. Since the attacker uses millions of …

ACNN-BOT: An ant colony inspired feature selection approach for ANN based botnet detection

C Joshi, RK Ranjan, V Bharti - Wireless Personal Communications, 2023 - Springer
With the growth and development of Internet and wireless communication, Internet-of-Things
(IoT) has become a prominent technology for smart devices. In general, IoT systems are …

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 …

TriDroid: a triage and classification framework for fast detection of mobile threats in android markets

A Amira, A Derhab, EMB Karbab, O Nouali… - Journal of Ambient …, 2021 - Springer
The Android platform is highly targeted by malware developers, which aim to infect the
maximum number of mobile devices by uploading their malicious applications to different …