An Idea: Spam Detection using DNA
I have an idea of Spam detection using DNA (Hybridization or Sequence Alignment). Like represent each English alphabet by a codon. Lets say we represent ‘a’ by AUG and ‘@’ by AUT. Now we can convert the incoming message into a DNA sequence and search for patterns such as ‘V-i-a-g-r-a’ or ‘C@sin0′ via standard principles of sequence alignment or Hybridization.
There are 3 factors:
1. No of words recognized
2. If hybridization is used, Temperature at which words are recognized
3. How good is a match
Then using the combination of these 3 factors, we can determine if a message should be classified as spam or not.
Any comments, suggestions or questions?
Possibly related posts (automagically generated):
- Protein Structure Prediction using Neural Networks
- How to do research on a new idea/target industry using Twitter
- Mnemonic Dictionary: A Quick Review
- More Answers than Questions…

Twitter