Localized machine learning of user behaviors in network operating system for enhanced secure services in secure data network

Abstract

In one embodiment, a method comprises: initiating, by an executable agent within a secure executable container executed by a network device, a monitoring of a network-based service between the network device and a second network device having a two-way trusted relationship with the network device within a secure peer-to-peer data network, the network-based service based on a securely-stored secure data structure or a securely-transmitted secure data structure in the secure peer-to-peer data network; executing, by the executable agent, a secure machine learning operation based on one or more user actions associated with the network-based service, wherein the secure executable container prevents any access of any unencrypted data structure, or accessing the secure peer-to-peer data network, without authorized access via a prescribed Application Programming Interface (API); and autonomically executing, by the executable agent, an improved operation for the network-based service based on the machine learning.