A survey for user behavior analysis based on machine learning techniques: current models and applications
Significant research has been carried out in the field of User Behavior Analysis, focused on
understanding, modeling and predicting past, present and future behaviors of users …
understanding, modeling and predicting past, present and future behaviors of users …
[HTML][HTML] User behaviour analysis using data analytics and machine learning to predict malicious user versus legitimate user
R Ranjan, SS Kumar - High-Confidence Computing, 2022 - Elsevier
Research-based on user behavior analysis for authentication is the motivation for this
research. We move ahead using a behavioral approach to identify malicious users and …
research. We move ahead using a behavioral approach to identify malicious users and …
A Neuro-fuzzy approach for user behaviour classification and prediction
Big data and cloud computing technology appeared on the scene as new trends due to the
rapid growth of social media usage over the last decade. Big data represent the immense …
rapid growth of social media usage over the last decade. Big data represent the immense …
A survey on user profiling model for anomaly detection in cyberspace
AH Lashkari, M Chen… - Journal of Cyber …, 2019 - journals.riverpublishers.com
In the face of escalating global Cybersecurity threats, having an automated forewarning
system that can find suspicious user profiles is paramount. It can work as a prevention …
system that can find suspicious user profiles is paramount. It can work as a prevention …
Mapping human–computer interaction research themes and trends from its existence to today: A topic modeling-based review of past 60 years
As it covers a wide spectrum, the research literature of human-computer interaction (HCI)
studies has a rich and multi-disciplinary content where there are limited studies …
studies has a rich and multi-disciplinary content where there are limited studies …
Identification of cyber harassment and intention of target users on social media platforms
S Abarna, JI Sheeba, S Jayasrilakshmi… - … applications of artificial …, 2022 - Elsevier
Due to Coronavirus diseases in 2020, all the countries departed into lockdown to combat the
spread of the pandemic situation. Schools and institutions remain closed and students' …
spread of the pandemic situation. Schools and institutions remain closed and students' …
[HTML][HTML] Online classification of user activities using machine learning on network traffic
The daily deployment of new applications, along with the exponential increase in network
traffic, entails a growth in the complexity of network analysis and monitoring. Conversely, the …
traffic, entails a growth in the complexity of network analysis and monitoring. Conversely, the …
Vasabi: Hierarchical user profiles for interactive visual user behaviour analytics
User behaviour analytics (UBA) systems offer sophisticated models that capture users'
behaviour over time with an aim to identify fraudulent activities that do not match their …
behaviour over time with an aim to identify fraudulent activities that do not match their …
Identifying suspicious user behavior with neural networks
The number of attacks that use sophisticated and complex methods increased lately. The
main objective of these attacks is to largely infiltrate the target network and to stay …
main objective of these attacks is to largely infiltrate the target network and to stay …
Behavdt: a behavioral decision tree learning to build user-centric context-aware predictive model
This paper formulates the problem of building a context-aware predictive model based on
user diverse behavioral activities with smartphones. In the area of machine learning and …
user diverse behavioral activities with smartphones. In the area of machine learning and …