T-mobile Usa, Inc.

Verisign, Inc.

Qi Alfred Chen

Kevin Lau

Jie Hui

Eric Osterweil

Danny McPherson

Matthew Thomas

Karthik Iyer

Kranthi Sontineni

Haokun Luo

Some embodiments provide a technique for detecting highly-vulnerable domain names and remediating associated problems. The technique can include collecting DNS data representing a requests to the DNS over a period of time and determining a subset of the DNS data representing DNS-based service discovery requests to unregistered domains over the period of time. The technique can also include, for each of the unregistered domains, determining a query ratio and a persistence ratio. The technique can also include ranking the unregistered domains according to a metric that includes the query ratios and the persistence ratios, such that a ranked list of domain names is produced and outputting an initial segment of the ranked list of domain names as the highly-vulnerable domain names. The technique can also include remediating attacks on at least one of the highly-vulnerable domain names.

Detecting and remediating highly vulnerable domain names using passive DNS measurements

Techniques described herein provide quality of experience (QoE) diagnosis and analysis for wireless communications. Implementations include generating, by a user device, a user interaction event. The user device may obtain data associated with one or more QoE metrics, and cause analysis on the data associated with the one or more metrics to identify QoE issues.

Quality of experience diagnosis and analysis in wireless communications

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Ann Arbor, MI, United States of America

Qi Alfred Chen