A high speed intelligent network recorder for recording a plurality of flows of network data packets into and out of a computer network over a relevant data time window is disclosed. The high speed intelligent network recorder includes a printed circuit board; a high speed network switching device mounted to the printed circuit board; and an X column by Y row array of a plurality of intelligent hard drives with micro-computers mounted to the printed circuit board and coupled in parallel with the high speed network switching device.

A method for network recording is disclosed. In one embodiment, the method includes the following: receiving a plurality of incoming packets, wherein each incoming packet belongs to a conversation flow; forming a capture stream of packet records for the incoming packets; and performing intelligent load balancing on the capture stream of packet records, the load balancing including reading the metadata for each packet record, determining a packet record is part of either a hot flow or a cold flow, selecting a destination node for each packet record based on the flow hash, and steering the packet record to one of a plurality of encapsulation buffers based on the destination node, wherein a cold flow tends to be maintained in a flow coherency at a node. The method may further include operations that include querying and back-testing in order to enable distributed analytics by using low cost, low band width nodes.

A system including a guest virtual machine with one or more virtual machine measurement points configured to collect virtual machine operating characteristics metadata and a hypervisor control point configured to receive virtual machine operating characteristics metadata from the virtual machine measurement points. The hypervisor control point is further configured to send the virtual machine operating characteristics metadata to a hypervisor associated with the guest virtual machine. The system further includes the hypervisor configured to receive the virtual machine operating characteristics metadata and to forward the virtual machine operating characteristics metadata to a hypervisor device driver in a virtual vault machine. The system further includes the virtual vault machine configured to determine a classification for the guest virtual machine based on the virtual machine operating characteristics metadata and to send the determined classification to a vault management console.

Systems and methods for identifying and remediating malware-compromised mobile devices are disclosed. A computer-implemented method includes accessing, by a computing device, malware risk data; determining, by the computing device, a mobile device is at risk from malware based on the malware risk data; identifying, by the computing device, a set of connections of a user of the mobile device, wherein each connection in the set of connections is associated with a user computer device; identifying, by the computing device, at least one user computer device from the set of connections at risk from the malware; and outputting, by the computer device, a malware notification for the mobile device at risk and at least one user computer device at risk.

Examples relate to model-based computer attack analytics orchestration. In one example, a computing device may: generate, using an attack model that specifies behavior of a particular attack on a computing system, a hypothesis for the particular attack, the hypothesis specifying, for a particular state of the particular attack, at least one attack action; identify, using the hypothesis, at least one analytics function for determining whether the at least one attack action specified by the hypothesis occurred on the computing system; provide an analytics device with instructions to execute the at least one analytics function on the computing system; receive analytics results from the analytics device; and update a state of the attack model based on the analytics results.

Systems and methods for detection of attacks on a communication authentication layer of an in-vehicle network, including determining, by at least one network node, at least one attack attempt on the communication authentication layer of the in-vehicle network, wherein the determination is carried out by identifying anomalies in at least one of messages, data and metadata directed to the communication authentication layer, and selecting, by the at least one network node, a response corresponding to the determined attack attempt from at least one of modification of parameter values corresponding to a security protocol, a failsafe response, and rejection of messages identified as anomalies.

An in-flight entertainment and communications (IFEC) system is configured to interconnect an avionics data bus to a local area network. An avionics interface is connectable to the avionics data bus, and receptive to avionics data transmitted on the avionics data bus by one or more avionics nodes over a predetermined protocol. A local network interface establishes the local area network, and portable electronic devices may be connectable to the local network interface over the local area network to establish a data communications link thereon. A data processor is connected to the avionics interface and the local network interface, and relays the avionics data from the avionics interface to the local network interface for transmission to the one or more portable electronics devices. This transmission is according to the predetermined protocol over the data communications link established on the local area network.

Security system for protecting a vehicle electronic system by selectively intervening in the communications path in order to prevent the arrival of malicious messages at ECUs, in particular at the safety critical ECUs. The security system includes a filter which prevents illegal messages sent by any system or device communicating over a vehicle communications bus from reaching their destination. The filter may, at its discretion according to preconfigured rules, send messages as is, block messages, change the content of the messages, request authentication or limit the rate such messages can be delivered, by buffering the messages and sending them only in preconfigured intervals.

Techniques described and suggested herein include various systems and methods for determining risk levels associated with transiting data, and routing portions of the data in accordance with the determined risk levels. For example, a risk analyzer may apply risk classifiers to transiting data to determine overall risk levels of some or all of the transiting data. A traffic router may route transiting data according to determined risk profiles for the data. A sandbox may be implemented to compare, for a given input, expected and observed outputs for a subset of transiting data, so as to determine risk profiles associated with at least the subset.

A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

Concepts and technologies disclosed herein are directed to modes of policy participation for feedback instances. According to one aspect, a system can receive an event associated with an active feedback instance operating in a runtime. The system can map the event to a policy participation level policy. The system can determine a new policy participation level for the active feedback instance according to the policy participation level policy.