Live Video Streaming Authentication for Vehicle Multimedia based on Merkle Tree

DOI

10.2991/ncce-18.2018.84How to use a DOI?

Keywords

vehicle streaming media system; Merkle tree; P2P-streaming; integrity authentication; perceptual hash algorithm

Abstract

Merkle tree has been widely applied in the field of P2P transmission. In this paper, an efficient authentication scheme is proposed in the integrity check module for vehicle live video streaming system by optimizing the construction and verification of the Merkle tree. It can create and check nodes at the same time in a shorter time without trusted channel. At the same time, in order to prevent the oversensitivity of hash algorithm, this paper uses the perceptual hash algorithm to generate the hash value of nodes in the Merkle tree. After performance evaluation and analysis, our algorithm can build a Merkle tree with 2N-1 nodes only after the N+log2N times hash calculation. It has better time performance than the traditional tree, whether receiving attacks or not. And it is proved that the scheme is secure under the condition that the vehicle live video streaming system is safe.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dongqi Han
AU  - Jindong Zhang
AU  - Yang Liu
AU  - Peibin Wu
AU  - Yiding Sun
PY  - 2018/05
DA  - 2018/05
TI  - Live Video Streaming Authentication for Vehicle Multimedia based on Merkle Tree
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 530
EP  - 534
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.84
DO  - 10.2991/ncce-18.2018.84
ID  - Han2018/05
ER  -