Botnet in DDoS attacks: trends and challenges

N Hoque, DK Bhattacharyya… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
Threats of distributed denial of service (DDoS) attacks have been increasing day-by-day due
to rapid development of computer networks and associated infrastructure, and millions of …

[HTML][HTML] Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

F Nawshin, R Gad, D Unal, AK Al-Ali… - Computers and Electrical …, 2024 - Elsevier
Mobile devices have become an essential element in our day-to-day lives. The chances of
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …

A review on feature selection in mobile malware detection

A Feizollah, NB Anuar, R Salleh, AWA Wahab - Digital investigation, 2015 - Elsevier
The widespread use of mobile devices in comparison to personal computers has led to a
new era of information exchange. The purchase trends of personal computers have started …

A survey of deep learning techniques for cybersecurity in mobile networks

E Rodriguez, B Otero, N Gutierrez… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The widespread use of mobile devices, as well as the increasing popularity of mobile
services has raised serious cybersecurity challenges. In the last years, the number of …

[HTML][HTML] A survey on botnets: Incentives, evolution, detection and current trends

SN Thanh Vu, M Stege, PI El-Habr, J Bang, N Dragoni - Future Internet, 2021 - mdpi.com
Botnets, groups of malware-infected hosts controlled by malicious actors, have gained
prominence in an era of pervasive computing and the Internet of Things. Botnets have …

An ensemble approach based on fuzzy logic using machine learning classifiers for android malware detection

İ Atacak - Applied Sciences, 2023 - mdpi.com
In this study, a fuzzy logic-based dynamic ensemble (FL-BDE) model was proposed to
detect malware exposed to the Android operating system. The FL-BDE model contains a …

BYOD: Current state and security challenges

M Eslahi, MV Naseri, H Hashim… - … IEEE Symposium on …, 2014 - ieeexplore.ieee.org
Recently, BYOD or Bring Your own Device has become one of the most popular models for
enterprises to provide mobility and flexibility in workplaces. The emergence of new …

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 …

New facets of mobile botnet: architecture and evaluation

M Anagnostopoulos, G Kambourakis… - International Journal of …, 2016 - Springer
It is without a doubt that botnets pose a growing threat to the Internet, with DDoS attacks of
any kind carried out by botnets to be on the rise. Nowadays, botmasters rely on advanced …

From zeus to zitmo: Trends in banking malware

N Etaher, GRS Weir, M Alazab - 2015 IEEE Trustcom …, 2015 - ieeexplore.ieee.org
In the crimeware world, financial botnets are a global threat to banking organizations. Such
malware purposely performs financial fraud and steals critical information from clients' …