Research and Design of Electronic Evidence Preservation Platform based on Block Chain and Merkle Tree
- DOI
- 10.2991/tlicsc-18.2018.60How to use a DOI?
- Keywords
- Electronic Evidence; Block Chain; Merkle Tree; Consensus Algorithm.
- Abstract
After a thorough study of the characteristics of electronic evidence, an electronic evidence preservation scheme based on block chain and Merkle Tree is proposed. In this scheme, a P2P network technology is used to realize the decentralization of the system, an encryption algorithm is used to ensure the security of user data, Merkle tree technology is used to ensure non tampering and traceability of data, an improved consensus algorithm is designed to ensure data consistency between computing nodes, timestamp technology is used to ensure the existence of data in a specific time period or before a certain time, and block chain data structure is used to store electronic evidence. An electronic evidence preservation platform based on block chain and Merkle Tree is designed and constructed. This platform can achieve the decentralized electronic evidence preservation in the cloud computing environment, and prevent any involved participants, including evidence investigators, cloud service providers, users and so on, from colluding to tamper with the digital evidence. Experiments show that the scheme can effectively preserve and verify the electronic evidence, and guarantee the integrity and timeliness of the evidence data.
- 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/).
Cite this article
TY - CONF AU - Zhongyun Jiang PY - 2018/12 DA - 2018/12 TI - Research and Design of Electronic Evidence Preservation Platform based on Block Chain and Merkle Tree BT - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018) PB - Atlantis Press SP - 375 EP - 381 SN - 1951-6851 UR - https://doi.org/10.2991/tlicsc-18.2018.60 DO - 10.2991/tlicsc-18.2018.60 ID - Jiang2018/12 ER -