Performance comparison and current challenges of using machine learning techniques in cybersecurity
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …
world is becoming more and more dependent on the internet for everyday living. The …
Data-driven cyber security in perspective—Intelligent traffic analysis
Social and Internet traffic analysis is fundamental in detecting and defending cyber attacks.
Traditional approaches resorting to manually defined rules are gradually replaced by …
Traditional approaches resorting to manually defined rules are gradually replaced by …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Cyber threat detection using machine learning techniques: A performance evaluation perspective
The present-day world has become all dependent on cyberspace for every aspect of daily
living. The use of cyberspace is rising with each passing day. The world is spending more …
living. The use of cyberspace is rising with each passing day. The world is spending more …
Twitter spam detection: Survey of new approaches and comparative study
Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have proposed many detection and defence methods in order to protect Twitter …
researchers have proposed many detection and defence methods in order to protect Twitter …
[HTML][HTML] A pipeline and comparative study of 12 machine learning models for text classification
A Occhipinti, L Rogers, C Angione - Expert systems with applications, 2022 - Elsevier
Text-based communication is highly favoured as a communication mean, especially in
business environments. As a result, it is often abused by sending malicious messages, eg …
business environments. As a result, it is often abused by sending malicious messages, eg …
A neural network-based ensemble approach for spam detection in Twitter
S Madisetty, MS Desarkar - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
As the social networking sites get more popular, spammers target these sites to spread
spam posts. Twitter is one of the most popular online social networking sites where users …
spam posts. Twitter is one of the most popular online social networking sites where users …
Twitter spam detection based on deep learning
Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have developed a series of machine learning-based methods and blacklisting …
researchers have developed a series of machine learning-based methods and blacklisting …
Semi-supervised spam detection in Twitter stream
Most existing techniques for spam detection on Twitter aim to identify and block users who
post spam tweets. In this paper, we propose a semi-supervised spam detection (S3D) …
post spam tweets. In this paper, we propose a semi-supervised spam detection (S3D) …
Spammer detection and fake user identification on social networks
Social networking sites engage millions of users around the world. The users' interactions
with these social sites, such as Twitter and Facebook have a tremendous impact and …
with these social sites, such as Twitter and Facebook have a tremendous impact and …