Fighting Spam Over the Years
After several years of running different solutions, I think I’ve finally found a good balance in the fight against spam. The battle is ongoing, but at least things are now much more manageable.
The Approaches I’ve Tried
Over time, I’ve experimented with multiple methods to reduce spam:
- Basic Filters: Initial attempts with simple keyword-based filtering.
- Blacklists & Blocklists: Trying to block known spam sources.
- More Advanced Solutions: Using Bayesian filtering and other adaptive systems.
Each approach had its strengths and weaknesses, but none were foolproof on their own.
What Works Best?
The solution that has given me the best results so far is a combination of multiple layers:
- Greylisting – Temporarily rejecting first-time senders to deter spambots.
- Bayesian Filtering – Learning from previous spam and legitimate messages.
- Manual Whitelisting & Blacklisting – Ensuring trusted senders get through while keeping bad actors out.
This approach significantly reduces spam without blocking legitimate messages.
The Bottom Line
Spam isn’t going away anytime soon, but with the right setup, it becomes far less of a problem. If you’re struggling with spam, consider layered filtering rather than relying on just one method.