Mobile phishing attacks and defence mechanisms: State of art and open research challenges

D Goel, AK Jain - Computers & Security, 2018 - Elsevier
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 …

Intelligent phishing detection scheme using deep learning algorithms

MA Adebowale, KT Lwin, MA Hossain - Journal of Enterprise …, 2023 - emerald.com
Purpose Phishing attacks have evolved in recent years due to high-tech-enabled economic
growth worldwide. The rise in all types of fraud loss in 2019 has been attributed to the …

Advancements of SMS Spam Detection: A Comprehensive Survey of NLP and ML Techniques

MR Al Saidat, SY Yerima, K Shaalan - Procedia Computer Science, 2024 - Elsevier
In the digital age, the ubiquity of text messaging has unfortunately paved the way for SMS
phishing, or'smishing,'a deceptive practice where fraudsters dispatch fraudulent messages …

Users really do respond to smishing

ML Rahman, D Timko, H Wali, A Neupane - Proceedings of the …, 2023 - dl.acm.org
Text phish messages, referred to as Smishing (SMS+ phishing) is a type of social
engineering attack where fake text messages are created, and used to lure users into …

Commercial anti-smishing tools and their comparative effectiveness against modern threats

D Timko, ML Rahman - Proceedings of the 16th ACM Conference on …, 2023 - dl.acm.org
Smishing, also known as SMS phishing, is a type of fraudulent communication in which an
attacker disguises SMS communications to deceive a target into providing their sensitive …

Lessons in Prevention and Cure: A User Study of Recovery from Flubot Smartphone Malware

A Geers, A Ding, CH Gañán, S Parkin - Proceedings of the 2023 …, 2023 - dl.acm.org
The smishing-based malware Flubot was taken down in mid-2022, yet there is little
understanding of how it directly impacted smartphone users. We engage with customers of a …

[HTML][HTML] Principales mecanismos para el enfrentamiento al phishing en las redes de datos

A Hernández Dominguez… - Revista Cubana de …, 2021 - scielo.sld.cu
En los últimos años se han utilizado diversos mecanismos para detectar ataques de
phishing. El papel desempeñado por las técnicas de aprendizaje automático ha sido …

Experimental study to assess the impact of timers on user susceptibility to phishing attacks

AE Antonucci, Y Levy… - Journal of …, 2022 - digitalcommons.kennesaw.edu
Social engineering costs organizations billions of dollars. It exploits the weakest link of
information systems security, the users. It is well-documented in literature that users continue …

[PDF][PDF] What remains uncaught?: Characterizing sparsely detected malicious urls on twitter

SS Roy, U Karanjit, S Nilizadeh - MadWeb NDSS, 2021 - ndss-symposium.org
Twitter maintains a blackbox approach for detecting malicious URLs shared on its platform.
In this study, we evaluate the efficiency of their detection mechanism against newer phishing …

[PDF][PDF] The prevalence of cybersecurity misinformation on social media: Case studies on phishing reports and zoom's threats

M Singhal, N Kumarswamy, S Kinhekar… - arXiv preprint arXiv …, 2021 - academia.edu
Recently, threat intelligence and security tools have been augmented to use the timely and
relevant security information extracted from social media. However, both ordinary users and …