By extending the traditional store-and-forward mechanism, network coding has the
capability to improve a network's throughput, robustness, and security. Given the …

The applications in the critical infrastructure systems pose simultaneous resilience and
performance requirements to the underlying computer network. To meet such requirements …

By allowing intermediate nodes to perform non-trivial operations on packets, such as mixing
data from multiple streams, network coding breaks with the ruling store and forward …

Network coding is a well-known technique used to enhance network throughput and
reliability by applying special coding to data packets. One critical problem in practice, when …

We introduce Fulcrum, a network coding framework that achieves three seemingly
conflicting objectives: 1) to reduce the coding coefficient overhead down to nearly n bits per …

This paper presents and analyzes novel hardware designs for high-speed network coding.
Our designs provide efficient methods to perform Galois field (GF) dot products and matrix …

Linear network coding requires arithmetic operations over Galois fields, more specifically
over finite extension fields. While coding over GF (2) reduces to simple XOR operations, this …

State of the art Random Linear Network Coding (RLNC) schemes assume that data streams
generate packets with equal sizes. This is an assumption that results in the highest efficiency …

The exponential growth of the mobile devices market, not only smartphones but also tablets,
laptops or wearables, poses a serious challenge for 5G communications. Random linear …

By allowing intermediate nodes in a communications network to perform non-trivial
operations on packets and thus mix data from multiple streams, network coding breaks with …