Abstract: A method and apparatus utilize a peer-to-peer network of security nodes collectively adhering to a protocol for inter-node communication. The system is comprised a plurality of first security nodes, at least one second security node, and at least one third security node. The plurality of first security nodes receive at least one of pre-trained detection models and rules, monitor at least one of a blockchain and connected devices for malicious behavior based on the received at least one of pre-trained detection models and rules, and report the malicious behavior. The at least one second security node creates and communicates the at least one of pre-trained detection models and rules to the plurality of first security nodes. The at least one third security node is informed by the at least one second security node of the reported malicious behavior.

Abstract: A method and apparatus utilize a peer-to-peer network of security nodes collectively adhering to a protocol for inter-node communication. The system is comprised a plurality of first security nodes, at least one second security node, and at least one third security node. The plurality of first security nodes receive at least one of pre-trained detection models and rules, monitor at least one of a blockchain and connected devices for malicious behavior based on the received at least one of pre-trained detection models and rules, and report the malicious behavior. The at least one second security node creates and communicates the at least one of pre-trained detection models and rules to the plurality of first security nodes. The at least one third security node is informed by the at least one second security node of the reported malicious behavior.

Abstract: A method for providing a customer with information at a POS, comprising the steps of: identifying the customer at a POS terminal; requesting a bill from a cash register system and sending it together with the identification information to a personalization server; creating and/or supplementing the customer's profile within the personalization server and calculating a personalized information based on the users history as well as provided data by the merchant; sending back the personalized information to the POS terminal; and putting out the personalized information to the customer via an interface.