The War on Spam: Filtering Out the Noise | Vibepedia
Spam filtering has evolved significantly since the early 2000s, with the implementation of techniques such as Bayesian filtering, blacklisting, and machine…
Overview
Spam filtering has evolved significantly since the early 2000s, with the implementation of techniques such as Bayesian filtering, blacklisting, and machine learning algorithms. According to a report by Kaspersky, the global spam volume reached 85% of all email traffic in 2019, with phishing attacks accounting for 32% of all spam. The fight against spam has been marked by controversy, with some arguing that over-zealous filtering can lead to false positives and legitimate emails being lost. Companies like Google and Microsoft have developed advanced spam filtering systems, with Google's TensorFlow-based system boasting a 99.9% accuracy rate. As spam continues to adapt and evolve, the development of more sophisticated filtering techniques is crucial. With the rise of AI-powered spam, the future of spam filtering looks increasingly complex, with some experts predicting a 'cat-and-mouse' game between spammers and filter developers, with the Vibe score for spam filtering sitting at 82, indicating a highly dynamic and contested topic.
Key Facts
- Year
- 2022
- Origin
- The first spam email was sent in 1978 by Gary Thuerk, a marketing executive
- Category
- Cybersecurity
- Type
- Technology