A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges

M Bhattacharya, S Roy, S Chattopadhyay… - Security and …, 2023 - Wiley Online Library
Over the past few years, online social networks (OSNs) have become an inseparable part of
people's daily lives. Instead of being passive readers, people are now enjoying their role as …

A fuzzy-based ensemble model for improving malicious web domain identification

R Chiong, Z Wang, Z Fan, S Dhakal - Expert Systems with Applications, 2022 - Elsevier
Accurate identification of malicious web domains is crucial for protecting users from the risks
of theft of private information, malware attack, and monetary loss. Various methods …

MFBFST: Building a stable ensemble learning model using multivariate filter-based feature selection technique for detection of suspicious URL

S Mohanty, AA Acharya - Procedia Computer Science, 2023 - Elsevier
The overwhelming growth and popularity of web motivated the cyber attackers to develop
fraudulent web sites and execute numerous attacking strategies to trick the user revealing …

[HTML][HTML] Building and evaluating an annotated corpus for automated recognition of chat-based social engineering attacks

N Tsinganos, I Mavridis - Applied Sciences, 2021 - mdpi.com
Featured Application Methods and techniques demonstrated in this work can be used to
increase chat-based social engineering attack detection algorithms. Abstract Chat-based …

CSE-ARS: Deep learning-based late fusion of multimodal information for chat-based social engineering attack recognition

N Tsinganos, P Fouliras, I Mavridis, D Gritzalis - IEEE Access, 2024 - ieeexplore.ieee.org
With the increasing prevalence of chat-based social engineering (CSE) attacks targeting
unsuspecting users, the need for robust defenses has never been more critical. In this paper …

[HTML][HTML] Lightweight approach for malicious domain detection using machine learning

G Pradeepa, R Devi - Научно-технический вестник …, 2022 - cyberleninka.ru
The web-based attacks use the vulnerabilities of the end users and their system and perform
malicious activities such as stealing sensitive information, injecting malwares, redirecting to …

Utilizing deep learning and natural language processing to recognise chat-based social engineering attacks for cyber security situational awareness

Ν Τσίγγανος - 2023 - dspace.lib.uom.gr
In an era dominated by digital communication, the escalating threat of chat-based social
engineering (CSE) attacks looms large. These attacks, characterized by manipulation …

Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation

AS Rafsanjani, NB Kamaruddin, M Behjati… - IEEE …, 2024 - ieeexplore.ieee.org
Malicious Uniform Resource Locators (URLs) pose a significant cybersecurity threat by
carrying out attacks such as phishing and malware propagation. Conventional malicious …

Detecting malicious URLs using lexical analysis and network activities

A Kumar, S Maity - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
The majority of unlawful actions have utilised web URLs. This behaviour has a significant
financial impact on businesses, as well as a loss of intellectual or copyright property and a …

An Efficient Hybrid Feature Selection Technique towards Prediction of Suspicious URLs in IoT Environment

S Mohanty, AA Acharya, T Gaber, N Panda… - IEEE …, 2024 - ieeexplore.ieee.org
With the growth of IoT, a vast number of devices are connected to the web. Consequently,
both users and devices are susceptible to deception by intruders through malicious links …