Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to build privacy preserving models. An example apparatus disclosed herein includes processor circuitry to initialize a local model with tokenized parameters associated with server telemetry data, the tokenized parameters included in a first modeling plan retrieved from a server, cause the local model to train based on trigger parameters from the first modeling plan, the local model to train with (a) the tokenized parameters associated with the server telemetry data and (b) client telemetry data, calculate an accuracy metric of the local model based on client-side ground truth data, and label the local model as one of valid or invalid based on a comparison between the accuracy metric and an accuracy threshold.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to build privacy preserving models. An example apparatus disclosed herein includes a training manager to generate a first modeling plan for client-side resources, and transmit the first modeling plan to the client-side resources. The example apparatus also includes a data aggregator to search for a primary validation flag in response to retrieving client-side model parameters, and an accuracy calculator to, in response to detecting the primary validation flag, perform a secondary validation corresponding to the client-side model parameters using a server-side ground truth data set, and determine whether to update the global model with the client-side model parameters based on a comparison of results of the secondary validation and a validation threshold.

Abstract: Methods, systems, and media for dynamically separating Internet of Things (IoT) devices in a network are provided. In accordance with some embodiments of the disclosed subject matter, a method for dynamically separating IoT devices in a network is provided, the method comprising: detecting a first IoT device in the network; monitoring network communication of the first IoT device; determining device information of the first IoT device based on the monitored network communication; and causing the first IoT device to communicate on a first subnet of a plurality of subnets in the network based on the device information.

Abstract: Methods, systems, and media for dynamically separating Internet of Things (IoT) devices in a network are provided. In accordance with some embodiments of the disclosed subject matter, a method for dynamically separating IoT devices in a network is provided, the method comprising: detecting a first IoT device in the network; monitoring network communication of the first IoT device; determining device information of the first IoT device based on the monitored network communication; and causing the first IoT device to communicate on a first subnet of a plurality of subnets in the network based on the device information.

Abstract: Methods, systems, and media for dynamically separating Internet of Things (IoT) devices in a network are provided. In accordance with some embodiments of the disclosed subject matter, a method for dynamically separating IoT devices in a network is provided, the method comprising: detecting a first IoT device in the network; monitoring network communication of the first IoT device; determining device information of the first IoT device based on the monitored network communication; and causing the first IoT device to communicate on a first subnet of a plurality of subnets in the network based on the device information.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to build privacy preserving models. An example apparatus disclosed herein includes a training manager to generate a first modeling plan for client-side resources, and transmit the first modeling plan to the client-side resources. The example apparatus also includes a data aggregator to search for a primary validation flag in response to retrieving client-side model parameters, and an accuracy calculator to, in response to detecting the primary validation flag, perform a secondary validation corresponding to the client-side model parameters using a server-side ground truth data set, and determine whether to update the global model with the client-side model parameters based on a comparison of results of the secondary validation and a validation threshold.

Abstract: Sharing IoT device (IoTd) profile data is provided, comprising: generating at least one access control rule to protect an IoTd; publishing first IoTd profile data in a first new block (FNB) of a blockchain of a blockchain network (BN), wherein the first IoTd profile data comprises the at least one access control rule; and committing the FNB to the blockchain based on a consensus algorithm by: a manufacturer of the IoTd committing the FNB to the blockchain; a security vendor (SV) participating in the BN committing the FNB to the blockchain when the SV is a sole SV participating in the BN; or the SV committing the FNB to the blockchain based on consensus among at least the SV and a plurality of security vendors when the SV and the plurality of security vendors are participating in the BN.

Abstract: Methods, systems, and media for dynamically separating Internet of Things (IoT) devices in a network are provided. In accordance with some embodiments of the disclosed subject matter, a method for dynamically separating IoT devices in a network is provided, the method comprising: detecting a first IoT device in the network; monitoring network communication of the first IoT device; determining device information of the first IoT device based on the monitored network communication; and causing the first IoT device to communicate on a first subnet of a plurality of subnets in the network based on the device information.