On the security of machine learning in malware c&c detection: A survey
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 …
trends and anecdotal evidence show, preventing these attacks, regardless of their …
An adaptive multi-layer botnet detection technique using machine learning classifiers
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 …
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
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 …
malicious codes on the Internet. These malicious codes pave the way to execute many …
BoTShark: A deep learning approach for botnet traffic detection
While botnets have been extensively studied, bot malware is constantly advancing and
seeking to exploit new attack vectors and circumvent existing measures. Existing intrusion …
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
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 …
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
In general, a botnet is a collection of compromised internet computers, controlled by
attackers for malicious purposes. To increase attacks' success chance and resilience …
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
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 …
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 …
attacks, such as Denial‐of‐Service (DoS), spam, and phishing. However, current detection …
A comprehensive study of Mozi botnet
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 …
devices is increasing. IoT devices that are not protected by security measures have …
EBSNN: Extended byte segment neural network for network traffic classification
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 …
Most of existing methods are based on machine learning techniques and rely on the …