Results 111 to 120 of about 2,863,518 (175)

Meta-learner-based frameworks for interpretable email spam detection. [PDF]

Front Artif Intell
Kshirsagar M, Rathi V, Ryan C.
europepmc   +1 more source

Proactive detection of voice phishing networks using call log analysis and machine learning. [PDF]

Sci Rep
Kim K, Kim L.
europepmc   +1 more source

Cloud-based email phishing attack using machine and deep learning algorithm. [PDF]

Complex Intell Systems, 2023
Butt UA, Amin R, Aldabbas H, Mohan S, Alouffi B, Ahmadian A.   +5 more
europepmc   +1 more source

SpaLLM-Guard: Pairing SMS Spam Detection Using Open-source and Commercial LLMs [PDF]

The increasing threat of SMS spam, driven by evolving adversarial techniques and concept drift, calls for more robust and adaptive detection methods.
Salman, Muhammad, Ikram, Muhammad, Basta, Nardine, Kaafar, Mohamed Ali   +3 more
core  

Heuristic machine learning approaches for identifying phishing threats across web and email platforms. [PDF]

Front Artif Intell
Jayaprakash R, Natarajan K, Daniel JA, Chinnappan CV, Giri J, Qin H, Mallik S.   +6 more
europepmc   +1 more source

A Compression-Based Method for Detecting Anomalies in Textual Data. [PDF]

Entropy (Basel), 2021
de la Torre-Abaitua G, Lago-Fernández LF, Arroyo D.   +2 more
europepmc   +1 more source

Domain-independent deception: a new taxonomy and linguistic analysis. [PDF]

Front Big Data
Verma RM, Dershowitz N, Zeng V, Boumber D, Liu X.   +4 more
europepmc   +1 more source

Image-Based Telecom Fraud Detection Method Using an Attention Convolutional Neural Network. [PDF]

Entropy (Basel)
Li J, Dang J, Wang Y, Yang J.
europepmc   +1 more source

A Systematic Literature Review on Biometric Authentication in Mobile Banking. [PDF]

F1000Res
Naji Ali H, Salim Mahmood Al-Dabbagh S.
europepmc   +1 more source

The current state and future of mobile security in the light of the recent mobile security threat reports. [PDF]

Multimed Tools Appl, 2023
Cinar AC, Kara TB.
europepmc   +1 more source