Results 21 to 30 of about 2,780,368 (218)

An Analysis of Spam Email Detection Performance Assessment Using Machine Learning

JOIN: Jurnal Online Informatika, 2019
Spam email is very annoying for email account users to get relevant information. Detection of email spam has actually been applied to email services for the public with various methods.
Budi Santoso
doaj   +1 more source

Training Neural Networks by Enhance Grasshopper Optimization Algorithm for Spam Detection System

IEEE Access, 2021
A significant negative impact of spam e-mail is not limited only to the serious waste of resources, time, and efforts, but also increases communications overload and cybercrime.
Sanaa A. A. Ghaleb, Mumtazimah Mohamad, Syed Abdullah Fadzli, Waheed Ali H. M. Ghanem   +3 more
doaj   +1 more source

MMTD: A Multilingual and Multimodal Spam Detection Model Combining Text and Document Images

Applied Sciences, 2023
Spam detection has been a topic of extensive research; however, there has been limited focus on multimodal spam detection. In this study, we introduce a novel approach for multilingual multimodal spam detection, presenting the Multilingual and Multimodal
Ziqi Zhang, Zhaohong Deng, Wei Zhang, Lingchao Bu   +3 more
doaj   +1 more source

The effect of using Naive Bayes to detect spam email [PDF]

ITM Web of Conferences
The rapid growth of the Internet has made email a huge help in business, life, and education. However, it has also become a channel for spreading undesirable information, such as content from hackers, viruses, violence, pornography, and superstition ...
Sun Zehui
doaj   +1 more source

Detection of Social Network Spam Based on Improved Extreme Learning Machine

IEEE Access, 2020
With the rapid advancement of the online social network, social media like Twitter has been increasingly critical to real life and become the prime objective of spammers.
Zhijie Zhang, Rui Hou, Jin Yang
doaj   +1 more source

SMS Spam Classification–Simple Deep Learning Models With Higher Accuracy Using BUNOW And GloVe Word Embedding

Journal of Applied Science and Engineering, 2023
Unwanted text messages are called Spam SMSs. It has been proven that Machine Learning Models can categorize spam messages efficiently and with great accuracy. However, the lack of proper spam filtering software or misclassification of genuine SMS as spam
Surajit Giri, Sayak Das, Sutirtha Bharati Das, Siddhartha Banerjee   +2 more
doaj   +1 more source

Spam Detection Using BERT

CoRR, 2022
6 pages, 8 figures and 2 ...
Thaer Sahmoud, Mohammad Mikki
openaire   +2 more sources

Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering

Mathematics, 2022
Spam represents a genuine irritation for email users, since it often disturbs them during their work or free time. Machine learning approaches are commonly utilized as the engine of spam detection solutions, as they are efficient and usually exhibit a ...
Nebojsa Bacanin, Miodrag Zivkovic, Catalin Stoean, Milos Antonijevic, Stefana Janicijevic, Marko Sarac, Ivana Strumberger   +6 more
doaj   +1 more source

Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection

Sensors
The growing popularity of social media has engendered the social problem of spam proliferation through this medium. New spam types that evade existing spam detection systems are being developed continually, necessitating corresponding countermeasures ...
Jaeun Choi, Byunghwan Jeon, Chunmi Jeon
doaj   +1 more source

Multi-Type Feature Extraction and Early Fusion Framework for SMS Spam Detection

IEEE Access, 2023
SMS spam is a pervasive issue that affects millions worldwide, leading to significant inconvenience, time wastage, and potential financial scams. Given the prevalence and potential harm, accurate and real-time detection of SMS spam is crucial. This paper
Hussein Alaa Al-Kabbi, Mohammad-Reza Feizi-Derakhshi, Saeid Pashazadeh   +2 more
doaj   +1 more source