[HTML][HTML] Detecting malicious activity in Twitter using deep learning techniques
L Ilias, I Roussaki - Applied Soft Computing, 2021 - Elsevier
Undoubtedly, social media, such as Facebook and Twitter, constitute a major part of our
everyday life due to the incredible possibilities they offer to their users. However, Twitter and …
everyday life due to the incredible possibilities they offer to their users. However, Twitter and …
Coordinated Amplification, Coordinated Inauthentic Behaviour, Orchestrated Campaigns: A Systematic Literature Review of Coordinated Inauthentic Content on …
The internet and online social networks have resulted in dramatic changes in the information
landscape. Pessimistic views fear that networks and algorithms can limit exposure to various …
landscape. Pessimistic views fear that networks and algorithms can limit exposure to various …
Spade: Multi-stage spam account detection for online social networks
In recent years, Online Social Networks (OSNs) have radically changed the way people
communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram …
communicate. The most widely used platforms, such as Facebook, Youtube, and Instagram …
Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques
AA Akinyelu - Journal of Computer Security, 2021 - content.iospress.com
Despite the great advances in spam detection, spam remains a major problem that has
affected the global economy enormously. Spam attacks are popularly perpetrated through …
affected the global economy enormously. Spam attacks are popularly perpetrated through …
A hybrid framework for bot detection on twitter: Fusing digital DNA with BERT
V Chawla, Y Kapoor - Multimedia Tools and Applications, 2023 - Springer
With the recognition and influence of Twitter on modern society, an enormous amount of
multimedia information is regularly generated and rapidly disseminated on the platform …
multimedia information is regularly generated and rapidly disseminated on the platform …
A weak-region enhanced Bayesian classification for spam content-based filtering
This article proposes an improved Bayesian scheme by focusing on the region in which
Bayesian may fail to correctly identify labels and improve classification performance by …
Bayesian may fail to correctly identify labels and improve classification performance by …
[PDF][PDF] An intelligent ensemble classification method for spam diagnosis in social networks
A Ahraminezhad, M Mojarad… - International Journal of …, 2022 - mecs-press.org
In recent years, the destructive behavior of social networks spammers has seriously
threatened the information security of ordinary users. To reduce this threat, many …
threatened the information security of ordinary users. To reduce this threat, many …
A collaborative abstraction based email spam filtering with fingerprints
Spam detection in emails tends to be an endless research interest among many researchers
and academicians. Even though email communication has become a major role in day to …
and academicians. Even though email communication has become a major role in day to …
A drift aware hierarchical test based approach for combating social spammers in online social networks
Spam detection in online social networks (OSNs) have become an immensely challenging
task with the nature and the use of online social networks. The spammers tend to change …
task with the nature and the use of online social networks. The spammers tend to change …
Detection and analysis of cryptocurrency scams on twitter
KK Chandra, K Kalla, J Bhatia, M Jayaprakash… - … on Algorithmic Aspects …, 2024 - Springer
With the increasing adoption of cryptocurrencies in finance, financial fraud has surged,
resulting in significant monetary losses. This paper presents a novel approach leveraging …
resulting in significant monetary losses. This paper presents a novel approach leveraging …