Handbook of Applied Cryptography
Handbook of Applied Cryptography
On the Practical and Security Issues of Batch Content Distribution Via Network Coding
ICNP '06 Proceedings of the Proceedings of the 2006 IEEE International Conference on Network Protocols
Optimization principles and application performance evaluation of a multithreaded GPU using CUDA
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
Larrabee: a many-core x86 architecture for visual computing
ACM SIGGRAPH 2008 papers
R2: Random Push with Random Network Coding in Live Peer-to-Peer Streaming
IEEE Journal on Selected Areas in Communications
Tsunami: massively parallel homomorphic hashing on many-core GPUs
Concurrency and Computation: Practice & Experience
On the practicality of cryptographic defences against pollution attacks in wireless network coding
ACM Computing Surveys (CSUR)
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Homomorphic hash functions (HHFs) have been applied into peer-to-peer networks with erasure coding or network coding to defend against pollution attacks. Unfortunately HHFs are computationally expensive for contemporary CPUs. This paper proposes to exploit the computing power of Graphic Processing Units (GPUs) for homomorphic hashing. Specifically, we demonstrate how to use NVIDIA GPUs and the Computer Unified Device Architecture (CUDA) programming model to achieve 38 times of speedup over the CPU counterpart. We also develop a multi-precision modular arithmetic library on CUDA platform, which is not only key to our specific application, but also very useful for a large number of cryptographic applications.