Abstract: Techniques for evaluating cyber assets are disclosed. A system obtains, from data sources in an experimental environment, raw data generated in response to execution of a cyber asset. The system generates, from the raw data, at least one instance model corresponding to the data sources. The at least one instance model includes instances of concepts represented in a cyber impact ontology.

Abstract: Techniques are described herein for a messaging system to allow publishers that are aware of the identities of their respective subscribers to target content at those subscribers directly. This may be accomplished by allowing users and other targets (e.g., groups) to register their identities at particular computing nodes of a system. Then publishers (e.g., applications) may send out messages targeted at particular identities, and a publishing system may forward messages to appropriate nodes based on which identities are registered at those nodes. Legacy applications that are not able to target particular identities may instead connect to application adapters that are configured to learn which identities should be targeted by each application. In addition, anonymized identities may be used for application messages that need to cross between domains having differing security levels.

Abstract: Techniques for evaluating cyber assets are disclosed. A system obtains, from data sources in an experimental environment, raw data generated in response to execution of a cyber asset. The system generates, from the raw data, at least one instance model corresponding to the data sources. The at least one instance model includes instances of concepts represented in a cyber impact ontology.

Abstract: Techniques for enforcing trust policies for payload data transmitted through a data provisioning layer include: receiving, by a node in the data provisioning layer, payload data to be delivered to a recipient; obtaining, by the node, a trust policy indicating multiple attributes used to determine trustworthiness of payloads; determining, by the node, a set of values of the attributes associated with the payload data; generating, by the node, a trustworthiness opinion based at least on the trust policy and the set of values of the attributes; transmitting, by the node, the payload data and the trustworthiness opinion via the data provisioning layer toward the recipient; computing, by the recipient, a trustworthiness metric associated with the payload data based at least on the trustworthiness opinion; and determining, by the recipient, an action to take with respect to the payload data based at least on the trustworthiness metric.

Abstract: Techniques for enforcing trust policies for payload data transmitted through a data provisioning layer include: receiving, by a node in the data provisioning layer, payload data to be delivered to a recipient; obtaining, by the node, a trust policy indicating multiple attributes used to determine trustworthiness of payloads; determining, by the node, a set of values of the attributes associated with the payload data; generating, by the node, a trustworthiness opinion based at least on the trust policy and the set of values of the attributes; transmitting, by the node, the payload data and the trustworthiness opinion via the data provisioning layer toward the recipient; computing, by the recipient, a trustworthiness metric associated with the payload data based at least on the trustworthiness opinion; and determining, by the recipient, an action to take with respect to the payload data based at least on the trustworthiness metric.

Abstract: Techniques for metadata-based information provenance are disclosed. A node in a data provisioning layer receives encrypted payload data to be delivered to a recipient. The node generates provenance metadata that describes at least one action taken by the node with respect to the encrypted payload data. The node transmits the encrypted payload data and the provenance metadata via the data provisioning layer toward the recipient.

Abstract: Techniques for metadata-based information provenance are disclosed. A node in a data provisioning layer receives encrypted payload data to be delivered to a recipient. The node generates provenance metadata that describes at least one action taken by the node with respect to the encrypted payload data. The node transmits the encrypted payload data and the provenance metadata via the data provisioning layer toward the recipient.

Abstract: Techniques for evaluating cyber assets are disclosed. A system obtains, from data sources in an experimental environment, raw data generated in response to execution of a cyber asset. The system generates, from the raw data, at least one instance model corresponding to the data sources. The at least one instance model includes instances of concepts represented in a cyber impact ontology.