Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning
Author:
Affiliation:
1. Princeton University, Princeton, NJ, USA
2. University of Chicago, Chicago, IL, USA
3. SRI International, Menlo Park, CA, USA
Funder
DARPA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3580305.3599775
Reference66 articles.
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2. C. Abdelberi , T. Chen , M. Cunche , ED. Cristofaro , A. Friedman , and M. Kâafar . 2014 . Censorship in the Wild: Analyzing Internet Filtering in Syria. IMC (2014). C. Abdelberi, T. Chen, M. Cunche, ED. Cristofaro, A. Friedman, and M. Kâafar. 2014. Censorship in the Wild: Analyzing Internet Filtering in Syria. IMC (2014).
3. Internet Censorship detection: A survey
4. Charu C Aggarwal. 2017. An introduction to outlier analysis. In Outlier analysis. Charu C Aggarwal. 2017. An introduction to outlier analysis. In Outlier analysis.
5. Ethem Alpaydin . 2020. Introduction to machine learning . MIT press . Ethem Alpaydin. 2020. Introduction to machine learning. MIT press.
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