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