Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview
IH Sarker - Security and Privacy, 2023 - Wiley Online Library
Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …
prominent field of research and application that typically focuses on securing devices …
[HTML][HTML] Session-based cyberbullying detection in social media: A survey
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim
through a social media session. By investigating cyberbullying perpetrated through social …
through a social media session. By investigating cyberbullying perpetrated through social …
Nature‐Inspired‐Based Approach for Automated Cyberbullying Classification on Multimedia Social Networking
N Yuvaraj, K Srihari, G Dhiman… - Mathematical …, 2021 - Wiley Online Library
In the modern era, the cyberbullying (CB) is an intentional and aggressive action of an
individual or a group against a victim via electronic media. The consequence of CB is …
individual or a group against a victim via electronic media. The consequence of CB is …
DEA-RNN: A hybrid deep learning approach for cyberbullying detection in Twitter social media platform
Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the
popularity and widespread use of social media by individuals of all ages, it is vital to make …
popularity and widespread use of social media by individuals of all ages, it is vital to make …
Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification
N Yuvaraj, V Chang, B Gobinathan… - Computers & Electrical …, 2021 - Elsevier
Recent studies have shown that cyberbullying is a rising youth epidemic. In this paper, we
develop a novel automated classification model that identifies the cyberbullying texts without …
develop a novel automated classification model that identifies the cyberbullying texts without …
CyberBERT: BERT for cyberbullying identification: BERT for cyberbullying identification
Cyberbullying can be delineated as a purposive and recurrent act, which is aggressive in
nature, done via different social media platforms such as Facebook, Twitter, Instagram, and …
nature, done via different social media platforms such as Facebook, Twitter, Instagram, and …
Cyberbullying detection on social networks using machine learning approaches
The use of social media has grown exponentially over time with the growth of the Internet
and has become the most influential networking platform in the 21st century. However, the …
and has become the most influential networking platform in the 21st century. However, the …
A multichannel deep learning framework for cyberbullying detection on social media
Online social networks (OSNs) play an integral role in facilitating social interaction; however,
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
Longitudinal associations among neuroticism, depression, and cyberbullying in early adolescents
D Zhang, ES Huebner, L Tian - Computers in human behavior, 2020 - Elsevier
The role of personality characteristics in cyberbullying has attracted increasing attention in
the research literature, but the temporal sequences and possible psychological mechanisms …
the research literature, but the temporal sequences and possible psychological mechanisms …
Fake profile detection on social networking websites: a comprehensive review
This article aims to summarize the recent advancement in the fake account detection
methodology on social networking websites. Over the past decade, social networking …
methodology on social networking websites. Over the past decade, social networking …