Exploring Statistical Measures to Predict URLs as Legitimate or Intrusive [Guest Diary], (Wed, Apr 2nd)
2 Articles
2 Articles


Exploring Statistical Measures to Predict URLs as Legitimate or Intrusive [Guest Diary], (Wed, Apr 2nd)
Gregory Weber, an ISC intern, monitored DShield sensors as part of his BACS internship. He analyzed web server attacks, particularly rapid-fire URL submissions targeting WordPress servers. He experimented with frequency analysis to classify URLs as legitimate or intrusive, using dictionaries of words and phrases. The model showed promise but had limitations, especially with incomplete data.
Coverage Details
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
To view factuality data please Upgrade to Premium
Ownership
To view ownership data please Upgrade to Vantage