Spammer.py

: Researchers at TU Wien utilize Python-based tools like CCgen. v2 to simulate "spam-like" or clandestine traffic to test the detectability of covert timing channels (CTCs).

: Tag accounts or comments where the percentage of unique words is exceptionally low (e.g., < 30%), a common indicator of automated spam. spammer.py

: Calculate metrics like word density, character counts, and punctuation frequency to distinguish between legitimate users and bots. : Researchers at TU Wien utilize Python-based tools