Visible to the public Trusted Video Streams in Camera Sensor Networks

TitleTrusted Video Streams in Camera Sensor Networks
Publication TypeConference Paper
Year of Publication2020
AuthorsWöhnert, S.-J., Wöhnert, K. H., Almamedov, E., Skwarek, V.
Conference Name2020 IEEE 18th International Conference on Embedded and Ubiquitous Computing (EUC)
Date PublishedJan. 2021
PublisherIEEE
ISBN Number978-0-7381-1118-6
Keywordsblockchain, Camera Network, Cameras, composability, Data Embedding in Images, distributed ledger, Distributed Ledger Technology, Framechain, Metrics, network accountability, Object Identity, Peer-to-peer computing, pubcrawl, resilience, Resiliency, robust hashing, Robustness, security, Streaming media, Video Authentification, Video Security
Abstract

Proof of integrity in produced video data by surveillance cameras requires active forensic methods such as signatures, otherwise authenticity and integrity can be comprised and data becomes unusable e. g. for legal evidence. But a simple file- or stream-signature loses its validity when the stream is cut in parts or by separating data and signature. Using the principles of security in distributed systems similar to those of blockchain and distributed ledger technologies (BC/DLT), a chain which consists of the frames of a video which frame hash values will be distributed among a camera sensor network is presented. The backbone of this Framechain within the camera sensor network will be a camera identity concept to ensure accountability, integrity and authenticity according to the extended CIA triad security concept. Modularity by secure sequences, autarky in proof and robustness against natural modulation of data are the key parameters of this new approach. It allows the standalone data and even parts of it to be used as hard evidence.

URLhttps://ieeexplore.ieee.org/document/9343401
DOI10.1109/EUC50751.2020.00010
Citation Keywohnert_trusted_2020