Editing FlavioD. Garcia

Title: FlavioD. Garcia

Research Question: How effective are different spam filtering techniques and technologies?

Methodology: The researchers simulated email traffic under various conditions to analyze the effectiveness of several spam filtering techniques and technologies. They investigated negative Bayesian filters, genetic algorithms, and other techniques.

Results: They found that genetic algorithm-based spam filters performed best at server level, while negative Bayesian filters were most appropriate for user level.

Implications: The study suggests that genetic algorithm-based spam filters are more effective at an ISP level, while negative Bayesian filters are better suited for user-level filtering. This information can help organizations and individuals make informed decisions about which spam filtering techniques to use.

Link to Article: https://arxiv.org/abs/0402046v1
Authors: 
arXiv ID: 0402046v1

[[Category:Computer Science]]
[[Category:Spam]]
[[Category:Filters]]
[[Category:Filtering]]
[[Category:Techniques]]
[[Category:Level]]