Abstract: A computing system may automatically determine if data traffic of an individual network cell, or other relatively small portion of a network, is sufficiently complex so as to desirably maintain privacy of individual users of the network. Data traffic, which may include phone calls, text messaging, Internet browsing, and so on, of a network cell in a rural area may experience a relatively low volume of data traffic. On the other hand, a cell tower in a city may experience data traffic of hundreds or so individual users during a one-day period. Data traffic of such relatively high volume may be sufficiently complex and may be aggregated and used for data analytics.

Abstract: A computing system may automatically anonymize network transaction data of a network transaction by removing a portion of the uniform resource locator (URL) associated with the network transaction. Such anonymization may be beneficial by allowing for the network transaction data to be used (e.g., by third parties) for data analytics, for example, while securing user identities by removing personal information or the identities of individual users engaged in such network transactions. In some examples, network transactions may include phone calls and conversations, video conferencing, text messaging, Internet ac (e.g., file sharing and streaming), and so on.

Abstract: A computing system may automatically determine if data traffic of an individual network cell, or other relatively small portion of a network, is sufficiently complex so as to desirably maintain privacy of individual users of the network. Data traffic, which may include phone calls, text messaging, Internet browsing, and so on, of a network cell in a rural area may experience a relatively low volume of data traffic. On the other hand, a cell tower in a city may experience data traffic of hundreds or so individual users during a one-day period. Data traffic of such relatively high volume may be sufficiently complex and may be aggregated and used for data analytics.