Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

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.

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 ...

Spam traffic distorts your analytics data, which can lead to poor marketing decisions based on false performance signals. It’s become more visible in Google Analytics 4. Compared to Universal ...

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.

After previewing last year and sharing more details in May, Key Verifier is “now available to all Android 10+ users” to protect against impersonators and fraudsters. This system uses QR codes to ...

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 ...

Abstract: We propose a new spam detection technique using the text clustering based on vector space model. Our method computes disjoint clusters automatically using a spherical k-means algorithm for ...