Provided are systems and methods for convergent error vector indexing and retransmission in wireless data verifications. An example method includes transmitting a network packet to a receiver; receiving a further network packet being a copy of the network packet as received by the receiver, determining, based on the network packet and the further network packet, an error vector and locations of errors in the further network packet; sending, to the receiver, a first indexing packet including the locations of the errors; receiving a second indexing packet being a copy of the first indexing packet as received by the receiver; determining, based on the error vector and the second indexing packet, the locations of the errors in the second indexing packet; and sending a third indexing packet including the locations of the errors to the receiver, where the receiver corrects the further network packet using the third indexing packet.

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.

Provided are systems and methods for adaptive payload extraction and retransmission in wireless data communications. An example method commences with transmitting a network packet to a receiver via a communication channel. The method further includes receiving a further network packet including a further payload. The method continues with determining, based on the payload and the further payload, an error vector. The method includes generating, based on the error vector, a plurality of indices. An index of the plurality of indices corresponds to a portion of a plurality of non-overlapping portions of the payload. The method further continues with selecting, based on the error vector, at least one index from the plurality of indices. The method includes sending, to the receiver via the communication channel, a further network packet. The further network packet includes the selected index and a portion of the payload corresponding to the selected index.

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.

A method includes: receiving a first result obtained by performing BIP check on a sent first to-be-checked bit stream; performing BIP check on a received second to-be-checked bit stream to obtain a second result, where the second to-be-checked bit stream is a bit stream received by a receiving device after the first to-be-checked bit stream is transmitted; detecting a type of a control block in the second to-be-checked bit stream, and determining a third result based on impact of the type of the control block on a BIP check result; comparing the first result, the second result, and the third result; and if the first result is different from the second result, the first result is different from the third result, and the second result is different from a predetermined result, determining that a bit error occurs when the first to-be-checked bit stream is transmitted.

Embodiments are disclosed for a sequence selective symbol checker for communication systems. An example method includes configuring a symbol checker of a receiver with first binary sequence data generated by a symbol generator of the receiver. The example method also includes comparing, using the symbol checker, second binary sequence data provided by a transmitter to the first binary sequence data to generate error count data related to a number of errors for symbols associated with the second binary sequence data. The example method also includes determining total count data related to a number of symbols associated with the first binary sequence data. The example method also includes determining error ratio data associated with the transmitter based on the error count data and the total count data.

Embodiments are disclosed for a sequence selective symbol checker for communication systems. An example method includes configuring a symbol checker of a receiver with first binary sequence data generated by a symbol generator of the receiver. The example method also includes comparing, using the symbol checker, second binary sequence data provided by a transmitter to the first binary sequence data to generate error count data related to a number of errors for symbols associated with the second binary sequence data. The example method also includes determining total count data related to a number of symbols associated with the first binary sequence data. The example method also includes determining error ratio data associated with the transmitter based on the error count data and the total count data.

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.