Mobile phishing attacks and defence mechanisms: State of art and open research challenges
Phishing is an online identity theft in which an attacker tries to steal user's personal
information, resulting in financial loss of individuals as well as organisations. Nowadays …
information, resulting in financial loss of individuals as well as organisations. Nowadays …
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 …
Text mining in cybersecurity: A systematic literature review
The growth of data volume has changed cybersecurity activities, demanding a higher level
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …
of automation. In this new cybersecurity landscape, text mining emerged as an alternative to …
A discrete hidden Markov model for SMS spam detection
T Xia, X Chen - Applied Sciences, 2020 - mdpi.com
Many machine learning methods have been applied for short messaging service (SMS)
spam detection, including traditional methods such as naïve Bayes (NB), vector space …
spam detection, including traditional methods such as naïve Bayes (NB), vector space …
The looming threat of fake and llm-generated linkedin profiles: Challenges and opportunities for detection and prevention
In this paper, we present a novel method for detecting fake and Large Language Model
(LLM)-generated profiles in the LinkedIn Online Social Network immediately upon …
(LLM)-generated profiles in the LinkedIn Online Social Network immediately upon …
Spam detection on social networks using cost-sensitive feature selection and ensemble-based regularized deep neural networks
A Barushka, P Hajek - Neural Computing and Applications, 2020 - Springer
Spam detection on social networks is increasingly important owing to the rapid growth of
social network user base. Sophisticated spam filters must be developed to deal with this …
social network user base. Sophisticated spam filters must be developed to deal with this …
A review of soft techniques for SMS spam classification: Methods, approaches and applications
O Abayomi-Alli, S Misra, A Abayomi-Alli… - … Applications of Artificial …, 2019 - Elsevier
Background: The easy accessibility and simplicity of Short Message Services (SMS) have
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …
Multi-sensor fusion based on multiple classifier systems for human activity identification
Multimodal sensors in healthcare applications have been increasingly researched because
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …
it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity …
Cybersecurity risk assessment: a systematic mapping review, proposal, and validation
ID Sánchez-García, J Mejía, T San Feliu Gilabert - Applied Sciences, 2022 - mdpi.com
Incorporating technologies across all sectors has meant that cybersecurity risk assessment
is now a critical step in cybersecurity risk management. However, risk assessment can be a …
is now a critical step in cybersecurity risk management. However, risk assessment can be a …
Spammer detection via ranking aggregation of group behavior
Z Zhang, M Zhou, J Wan, K Lu, G Chen… - Expert Systems with …, 2023 - Elsevier
Online review networks have become a popular platform for disseminating information
which attracts large numbers of spammers to influence the reputation of the online products …
which attracts large numbers of spammers to influence the reputation of the online products …