Abstract: Text messaging (SMS) remains widely used due to its simplicity and accessibility. However, its popularity has led to a rise in spam messages, including ads, scams, and phishing links.

The disruption began Saturday (5am Pacific time, Jan .24) affecting approximately 1.8 billion Gmail users worldwide with widespread email misclassification. Image generated by Google Gemini Gmail’s ...

This project implements a context-aware spam detection system using Python. Unlike naive filters, it does not assume unknown senders are scammers. Decisions are made using behavior-based scoring and ...

P. aeruginosa is a highly adaptable bacterium and a major cause of hospital-acquired pneumonia (HAP) or ventilator-associated pneumonia (VAP) cases, which can lead to further spread of infection, ...

Circle to Search Update Adds Spam Detection; Google Brings Urgent Call Notes, New Emoji to Android Google's Circle to Search tool will now display an AI Overview with details sourced from the Web.

One of Python’s most persistent limitations is how unnecessarily difficult it is to take a Python program and give it to another user as a self-contained click-to-run package. The design of the Python ...

Threat actors with ties to the Democratic People's Republic of Korea (aka DPRK or North Korea) have been observed leveraging ClickFix-style lures to deliver a known malware called BeaverTail and ...

This project implements a machine learning model to classify SMS messages as "spam" or "ham" (not spam) using Decision Trees and TF-IDF vectorization. CS_Project_II/ ├── dataset/ │ └── spam.csv # SMS ...