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Statistical Analysis of DNS Abuse in gTLDs Final Report (view source)
Revision as of 13:49, 13 March 2018
, 6 years ago→The main contributions can be summarized as follows:
The results of the study indicate that abuse counts primarily correlate with stricter registration policies, and that the introduction of gTLDs have lowered span counts in legacy gTLDs.
The results of the study indicate that abuse counts primarily correlate with stricter registration policies, and that the introduction of gTLDs have lowered span counts in legacy gTLDs.
==== The main contributions can be summarized as follows: ====
==== Main contributions: ====
* A comprehensive descriptive statistical comparison of rates of DNS abuse in new and legacy gTLDs as they pertain to spam, phishing, and malware distribution.
* A comprehensive descriptive statistical comparison of rates of DNS abuse in new and legacy gTLDs as they pertain to spam, phishing, and malware distribution.
* Using regression modelling, the performance of inferential statistical analysis testing the correlation between passively and actively measured properties of new gTLDs as predictors of rates of abuse.
* Using regression modelling, the performance of inferential statistical analysis testing the correlation between passively and actively measured properties of new gTLDs as predictors of rates of abuse.
* Analyzing proportions of abusive domains across other relevant to abusive practices players, i.e. registrars and privacy/proxy service providers.
* Analyzing proportions of abusive domains across other relevant to abusive practices players, i.e. registrars and privacy/proxy service providers.