Results 111 to 120 of about 2,780,368 (218)

Improving Digest-Based Collaborative Spam Detection [PDF]

Spam is usually sent in bulk. A bulk mailing consists of many copies of the same original spam message, each sent to a different recipient. The copies are usually obfuscated, i.e. modified a bit in order to look different from each other.
Le Boudec, Jean-Yves, Sarafijanovic, Slavisa, Perez, Sabrina   +2 more
core   +1 more source

Spam

, 2016
Educação Profissional::Informação e ComunicaçãoProduzido para abranger uma parte da história da internet de forma simples e divertida, informa e esclarece sobre os perigos aos quais os usuários estão expostos, explica o que é Spam e dá dicas de como ...
Comitê Gestor da Internet no Brasil (CGI.br)
core   +2 more sources

ExplainableDetector: Exploring transformer-based language modeling approach for SMS spam detection with explainability analysis

Digital Communications and Networks
Short Message Service (SMS) is a widely used and cost-effective communication medium that has unfortunately become a frequent target for unsolicited messages - commonly known as SMS spam.
Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras, Helge Janicke, Iqbal H. Sarker   +4 more
doaj   +1 more source

Spam

, 2013
Educação Profissional::Informação e ComunicaçãoProduzido para abranger uma parte da história da internet de forma simples e divertida, informa e esclarece sobre os perigos aos quais os usuários estão expostos, explica o que é Spam e dá dicas de como ...
Comitê Gestor da Internet no Brasil (CGI.br)
core   +2 more sources

Singleton spam review detection using classification techniques

, 2014
In recent years, we have witnessed that online reviews are the most important resource of customers’ opinion. They are progressively more used by individuals and organizations to make purchase and business decisions.
Heydari, Atefeh
core  

Federated Learning Spam Detection Based on FedProx and Multi-Level Multi-Feature Fusion

Informatics
Traditional spam detection methodologies often neglect user privacy preservation, potentially incurring data leakage risks. Furthermore, current federated learning models for spam detection face several critical challenges: (1) data heterogeneity and ...
Yunpeng Xiong, Junkuo Cao, Guolian Chen
doaj   +1 more source

Zone Similarity-Based Multimodal Spam Filter for Context-Sensitive Spam Detection

IEEE Access
As Internet usage continues to grow, the incidence of spam transmission has surged correspondingly. Even though numerous spam detection methods have been developed, most primarily rely on unimodal data such as text, and often overlook external factors ...
Hye-Gyoung Park, Assem Utaliyeva, Yoon-Ho Choi   +2 more
doaj   +1 more source

Analysis of Robustness and Interpretability of Multinomial Naïve Bayes and Tiny Text CNN Models for SMS Spam Detection Under Adversarial Attacks

Information
The growing complexity of unwanted messages, especially SMS spam, presents a serious challenge to the security of digital communication and user experience.
Murad A. Rassam, Redhwan Shaddad
doaj   +1 more source

Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques.

Comput Intell Neurosci, 2022
Rodrigues AP, Fernandes R, A A, B A, Shetty A, K A, Lakshmanna K, Shafi RM.   +7 more
europepmc   +1 more source

Spam

, 2014
Educação Profissional::Informação e ComunicaçãoProduzido para abranger uma parte da história da internet de forma simples e divertida, informa e esclarece sobre os perigos aos quais os usuários estão expostos, explica o que é Spam e dá dicas de como ...
Comitê Gestor da Internet no Brasil (CGI.br)
core