On the Path Towards Standardisation of a Sensor API for Forensics Investigations

Marco Manso, Bárbara Guerra, Fernando Freire, Roberto Chirico, Nicola Liberatore, René Linder, Ulrike Schröder, Yusuf Yilmaz

2023

Abstract

Forensics investigations need to be conducted efficiently and accurately especially in situations where time is a scarce resource. Novel technologies, like forensic sensors, can aid investigators in trace detection, visualisation, identification and interpretation on site. Arising from the need to connect different sensors to a remote digital management software, a network-enabled Sensor API is proposed to enable any compliant CBRNe Sensor to connect and exchange information in a harmonised and interoperable way. As a result, a Standardisation Workshop agreement, on CBRNe SENSOR API - Network Protocols, Data Formats and Interfaces, was initiated to promote standardisation of the Sensor API. The new proposed standard will allow sensor manufacturers to focus on sensor development work, benefitting from already defined interfaces and data models. Moreover, forensic investigators, acting as end-users, can better understand and analyse (well defined) sensor outputs, thus improving their work efficiency and facilitating technology acceptance.

Paper Citation

in Harvard Style

Manso M., Guerra B., Freire F., Chirico R., Liberatore N., Linder R., Schröder U. and Yilmaz Y. (2023). On the Path Towards Standardisation of a Sensor API for Forensics Investigations. In Proceedings of the 12th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-635-4, pages 15-22. DOI: 10.5220/0011688300003399

in Bibtex Style

@conference{sensornets23,
author={Marco Manso and Bárbara Guerra and Fernando Freire and Roberto Chirico and Nicola Liberatore and René Linder and Ulrike Schröder and Yusuf Yilmaz},
title={On the Path Towards Standardisation of a Sensor API for Forensics Investigations},
booktitle={Proceedings of the 12th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2023},
pages={15-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011688300003399},
isbn={978-989-758-635-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - On the Path Towards Standardisation of a Sensor API for Forensics Investigations
SN - 978-989-758-635-4
AU - Manso M.
AU - Guerra B.
AU - Freire F.
AU - Chirico R.
AU - Liberatore N.
AU - Linder R.
AU - Schröder U.
AU - Yilmaz Y.
PY - 2023
SP - 15
EP - 22
DO - 10.5220/0011688300003399