Abstract: Systems and methods for processing and transmission of encrypted data are provided. The method includes: encrypting a first data set; encapsulating the encrypted first data set in a protective layer; and transmitting the encapsulated encrypted first data set to a destination over one or more communication channels. The encrypting is performed by using a homomorphic encryption (HE) technique. The encapsulating is performed by using a quantum key distribution (QKD) encapsulation technique to generate a QKD-protected layer. The communication channels may include a classical/non-quantum channel over which the QKD-encapsulated encrypted first set of data is transmitted and a quantum channel over which a quantum key distribution is conducted, or a single communication channel to conduct both.

Abstract: Systems and methods for processing and transmission of encrypted data are provided. The method includes: encrypting a first data set; encapsulating the encrypted first data set in a protective layer; and transmitting the encapsulated encrypted first data set to a destination over one or more communication channels. The encrypting is performed by using a homomorphic encryption (HE) technique. The encapsulating is performed by using a quantum key distribution (QKD) encapsulation technique to generate a QKD-protected layer. The communication channels may include a classical/non-quantum channel over which the QKD-encapsulated encrypted first set of data is transmitted and a quantum channel over which a quantum key distribution is conducted, or a single communication channel to conduct both.

Abstract: According to an embodiment of the present invention, an automated computer implemented method and system for network analysis for endpoint deployment comprises determining whether a Quality of Service (“QoS”) analysis based on a QoS allocation data meets a first predetermined threshold for the location; if the QoS analysis does not meet the first predetermined threshold, calculating a minimum required bandwidth and increasing link capacity to at least the minimum required bandwidth or modifying an operation mode; determining whether a bandwidth analysis meets a second predetermined threshold for the location; if the bandwidth analysis does not meet the second predetermined threshold, calculating a minimum required bandwidth and increasing link capacity to at least the minimum required bandwidth; and providing analysis results to a user interface.

Abstract: According to an embodiment of the present invention, an automated computer implemented method and system for network analysis for endpoint deployment comprises determining whether a Quality of Service (“QoS”) analysis based on a QoS allocation data meets a first predetermined threshold for the location; if the QoS analysis does not meet the first predetermined threshold, calculating a minimum required bandwidth and increasing link capacity to at least the minimum required bandwidth or modifying an operation mode; determining whether a bandwidth analysis meets a second predetermined threshold for the location; if the bandwidth analysis does not meet the second predetermined threshold, calculating a minimum required bandwidth and increasing link capacity to at least the minimum required bandwidth; and providing analysis results to a user interface.

Abstract: Self converging communication fair rate control systems and methods of the present invention facilitate fair utilization of node buffers and optimized utilization of available bandwidth. A self converging communication fair rate control method provides a fair rate that is utilized to determine a connection rate for communicating information from a plurality of virtual connection queues to a class of service buffer (COSB). The self converging communication fair rate control method includes establishing a self-convergence factor, determining a buffer flow ratio, and adjusting a fair rate value based upon the buffer flow ratio and the self-convergence factor. The buffer is divided into buffer fill regions designated by fair rate convergence-adaptation thresholds and are associated with self-convergence factors. The fair rate self-convergence factors dynamically decrease fair rate values that result in a buffer filling up and increase fair rate values that result in a buffer emptying out.