This research paper presents a novel approach for spam detection using natural language processing. The proposed strategy utilizes a least-squares model to modify themes and incorporates gradient ...

The full source code for the Email Spam Detection project is uploaded in this repository. You can choose from two options: ...

Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little attention ...

Several malicious packages have been uncovered across the npm, Python, and Ruby package repositories that drain funds from cryptocurrency wallets, erase entire codebases after installation, and ...

Spammers used OpenAI to generate messages that were unique to each recipient, allowing them to bypass spam-detection filters and blast unwanted messages to more than 80,000 websites in four months ...

Spam Email Detector using Naive Bayes, C4.5 Decision Tree, and K Nearest Neighbor algorithms. We found Naive Bayes to be the most accurate at classifying spam. SpamGuard Pro: A foundational reference ...

The detection of Xeon Sender presents challenges for cybersecurity teams, as it primarily relies on provider-specific Python libraries, making it difficult to track and stop the misuse of these ...