On the security of machine learning in malware c&c detection: A survey

J Gardiner, S Nagaraja - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
One of the main challenges in security today is defending against malware attacks. As
trends and anecdotal evidence show, preventing these attacks, regardless of their …

An adaptive multi-layer botnet detection technique using machine learning classifiers

RU Khan, X Zhang, R Kumar, A Sharif, NA Golilarz… - Applied Sciences, 2019 - mdpi.com
In recent years, the botnets have been the most common threats to network security since it
exploits multiple malicious codes like a worm, Trojans, Rootkit, etc. The botnets have been …

A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks

M Alauthaman, N Aslam, L Zhang, R Alasem… - Neural Computing and …, 2018 - Springer
In recent years, Botnets have been adopted as a popular method to carry and spread many
malicious codes on the Internet. These malicious codes pave the way to execute many …

BoTShark: A deep learning approach for botnet traffic detection

S Homayoun, M Ahmadzadeh, S Hashemi… - Cyber Threat …, 2018 - Springer
While botnets have been extensively studied, bot malware is constantly advancing and
seeking to exploit new attack vectors and circumvent existing measures. Existing intrusion …

Early detection of Mirai-like IoT bots in large-scale networks through sub-sampled packet traffic analysis

A Kumar, TJ Lim - Future of Information and Communication Conference, 2019 - Springer
The widespread adoption of Internet of Things has led to many security issues. Recently,
there have been malware attacks on IoT devices, the most prominent one being that of Mirai …

AutoBotCatcher: blockchain-based P2P botnet detection for the internet of things

G Sagirlar, B Carminati, E Ferrari - 2018 IEEE 4th International …, 2018 - ieeexplore.ieee.org
In general, a botnet is a collection of compromised internet computers, controlled by
attackers for malicious purposes. To increase attacks' success chance and resilience …

Prioritized detection and classification of clusters of anomalous samples on high-dimensional continuous and mixed discrete/continuous feature spaces

DJ Miller, G Kesidis - US Patent 10,846,308, 2020 - Google Patents
This patent concerns novel technology for detection of zero-day data classes for domains
with high-dimensional mixed continuous/discrete feature spaces, including Internet traffic …

An effective conversation‐based botnet detection method

R Chen, W Niu, X Zhang, Z Zhuo… - … Problems in Engineering, 2017 - Wiley Online Library
A botnet is one of the most grievous threats to network security since it can evolve into many
attacks, such as Denial‐of‐Service (DoS), spam, and phishing. However, current detection …

A comprehensive study of Mozi botnet

TF Tu, JW Qin, H Zhang, M Chen, T Xu… - International Journal of …, 2022 - Wiley Online Library
With the trend of digital transformation of enterprises, the use of Internet of Things (IoT)
devices is increasing. IoT devices that are not protected by security measures have …

EBSNN: Extended byte segment neural network for network traffic classification

X **ao, W **ao, R Li, X Luo, H Zheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network traffic classification is important to intrusion detection and network management.
Most of existing methods are based on machine learning techniques and rely on the …