Systems, methods, and computer-readable media for identifying bogon addresses. A system can obtain an indication of address spaces in a network. The indication can be based on route advertisements transmitted by routers associated with the network. The system can receive a report generated by a capturing agent deployed on a host. The report can identify a flow captured by the capturing agent at the host. The system can identify a network address associated with the flow and, based on the indication of address spaces, the system can determine whether the network address is within the address spaces in the network. When the network address is not within the address spaces in the network, the system can determine that the network address is a bogon address. When the network address is within the address spaces in the network, the system can determine that the network address is not a bogon address.

Systems, methods, and computer-readable media for identifying bogon addresses. A system can obtain an indication of address spaces in a network. The indication can be based on route advertisements transmitted by routers associated with the network. The system can receive a report generated by a capturing agent deployed on a host. The report can identify a flow captured by the capturing agent at the host. The system can identify a network address associated with the flow and, based on the indication of address spaces, the system can determine whether the network address is within the address spaces in the network. When the network address is not within the address spaces in the network, the system can determine that the network address is a bogon address. When the network address is within the address spaces in the network, the system can determine that the network address is not a bogon address.

A communication system includes a data manager unit, a private interface, and an open interface. The data manager unit is configured to be disposed onboard a vehicle and to manage a transmission of data from a control system of the vehicle to a plurality of applications. The private interface is configured to communicably couple the data manager unit to the control system of the vehicle, and to limit communication with the control system via a connection protocol, wherein the connection protocol is configured to prevent direct communication between the data manager unit and an application that does not use the connection protocol. The open interface is configured to communicably couple the data manager unit and the plurality of applications.

This disclosure generally relate to a method and system for mapping application dependency information. The present technology relates techniques that enable user-adjustable application dependency mapping of a network system. By collecting internal network data using various sensors in conjunction with external user inputs, the present technology can provide optimized application dependency mapping using user inputs.

A network analytics system can receive first sensor data, including first network activity and a first timestamp associated with a first clock of a first node, and second sensor data, including second network activity and a second timestamp associated with a second clock of a second node. The system can determine a first delta between the first clock and a third clock based on the first timestamp, and a second delta between the second clock and the third clock. The system can determine a first communication latency associated with a first sensor of the first node, and a second communication latency associated with a second sensor of the second node. The system can generate a report that synchronizes one or more data flows between the first node and the second node based on the first delta, the second delta, the first communication latency, and the second communication latency.

Methods, systems, and devices for server-initiated secure sessions are described. A browser application may connect to a portal, where the portal may transmit a command to a server agent to initiate a secure session with an endpoint device. The server agent may be housed in a destination server, and may establish a secure connection with an intermediary server using a secure communication protocol. The secure connection may be made by directing the destination server to open an out-bound connection through a firewall of the destination server. A browser session may be redirected to the intermediary server from the browser application, and the intermediary server may route the browser session traffic to the secure connection.

This disclosure generally relate to a method and system for mapping application dependency information. The present technology relates techniques that enable user-adjustable application dependency mapping of a network system. By collecting internal network data using various sensors in conjunction with external user inputs, the present technology can provide optimized application dependency mapping using user inputs.

A network analytics system can receive first sensor data, including first network activity and a first timestamp associated with a first clock of a first node, and second sensor data, including second network activity and a second timestamp associated with a second clock of a second node. The system can determine a first delta between the first clock and a third clock based on the first timestamp, and a second delta between the second clock and the third clock. The system can determine a first communication latency associated with a first sensor of the first node, and a second communication latency associated with a second sensor of the second node. The system can generate a report that synchronizes one or more data flows between the first node and the second node based on the first delta, the second delta, the first communication latency, and the second communication latency.

This disclosure describes techniques for device to device authentication. For instance, a first device may detect a second device, such as when a user physically attaches the second device to the first device or when the second device wireless communicates with the first device. A component of the first device and/or an authentication entity may then determine to authenticate the second device. In some instances, the component determines to authenticate the second device using information associated with an environment of the second device. To authenticate the second device, the authentication entity may send a request to a user, receive a response from the user, and then verify the response. After the authentication, the first device may determine that the second device includes a trusted device and establish a connection with the second device.

Typical implementations of anomaly detection algorithms as means to detect failure of elements of the network are based on excessive processing due to AI and machine learning techniques adopted for big data analysis. Contrary to such approach, careful study of a network, particularly sensor and actuator rich network, allow for an efficient implementation—lower processing requirements and achieving better ratio of Probability-of-Detection (PD) to False-Alarm-Rate (FAR)—by segmentation of the data layers (grouping) and implement processing on smaller groups of data, eliminating unnecessary data values that add to the “noise”. Two different anomaly detection algorithm are employed: one detects anomaly of system and the other identifies defected programs, particularly by malware.