Social network analysis using deep learning: applications and schemes
AM Abbas - Social Network Analysis and Mining, 2021 - Springer
Online social networks (OSNs) are part of daily life of human beings. Millions of users are
connected through online social networks. Due to very large number of users and huge …
connected through online social networks. Due to very large number of users and huge …
A comprehensive analysis of privacy-preserving solutions developed for online social networks
Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …
tools, the use of various online social networks (OSNs) has significantly increased. On the …
SybilFlyover: Heterogeneous graph-based fake account detection model on social networks
Organized social robot accounts can launch Sybil attacks on online social networks (OSNs)
for various malicious purposes, thus significantly affecting the user experience of online …
for various malicious purposes, thus significantly affecting the user experience of online …
Belief-DDoS: step** up DDoS attack detection model using DBN algorithm
Abstract Distributed Denial of Services (DDoS) attacks severely impact various systems.
Traditional approaches like signature-based and scrubbing methods remain shortcomings …
Traditional approaches like signature-based and scrubbing methods remain shortcomings …
RunMax: fake profile classification using novel nonlinear activation in CNN
P Wanda - Social Network Analysis and Mining, 2022 - Springer
Online social networks (OSN) are well-known platforms for exchanging various information.
However, one of the existing OSN challenges is the issue of fake accounts. The attacker …
However, one of the existing OSN challenges is the issue of fake accounts. The attacker …
[HTML][HTML] A graph attention network for road marking classification from mobile LiDAR point clouds
The category of road marking is a crucial element in Mobile laser scanning systems'(MLSs)
applications such as intelligent traffic systems, high-definition maps, location and navigation …
applications such as intelligent traffic systems, high-definition maps, location and navigation …
[BOOK][B] Machine Learning: Concepts, Techniques and Applications
TV Geetha, S Sendhilkumar - 2023 - taylorfrancis.com
Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level
of explaining machine learning and goes on to explain the basis of machine learning …
of explaining machine learning and goes on to explain the basis of machine learning …
DeepNews: enhancing fake news detection using generative round network (GRN)
Fake news is a crucial issue in social media that spreads intentionally crafted false content
designed to mislead the public over the digital platform. Many communities have proposed …
designed to mislead the public over the digital platform. Many communities have proposed …
Role-aware information spread in online social networks
Understanding the complex process of information spread in online social networks (OSNs)
enables the efficient maximization/minimization of the spread of useful/harmful information …
enables the efficient maximization/minimization of the spread of useful/harmful information …
GRUSpam: robust e-mail spam detection using gated recurrent unit (GRU) algorithm
P Wanda - International Journal of Information Technology, 2023 - Springer
Email is one of the most popular communication tools for delivering messages online.
However, tremendously delivered email has harmed users through various attacks …
However, tremendously delivered email has harmed users through various attacks …