Tracking Data Trajectories in IoT

Chiara Bodei; Letterio Galletta

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Paper

Tracking Data Trajectories in IoT

Topics: Data and Software Security; Security and Privacy in Cloud and Pervasive Computing

In Proceedings of the 5th International Conference on Information Systems Security and Privacy ICISSP - Volume 1, 572-579, 2019 , Prague, Czech Republic

Authors: Chiara Bodei ¹ and Letterio Galletta ²

Affiliations: ¹ Dipartimento di Informatica, Università di Pisa and Italy ; ² IMT Institute for Advanced Studies Lucca and Italy

Keyword(s): IoT, Static Analysis.

Abstract: The Internet of Things (IoT) devices access and process large amounts of data. Some of them are sensitive and can become a target for security attacks. As a consequence, it is crucial being able to trace data and to identify their paths. We start from the specification language IoT-LySa, and propose a Control Flow Analysis for statically predicting possible trajectories of data communicated in an IoT system and, consequently, for checking whether sensitive data can pass through possibly dangerous nodes. Paths are also interesting from an architectural point of view for deciding which are the points where data are collected, processed, communicated and stored and which are the suitable security mechanisms for guaranteeing a reliable transport from the raw data collected by the sensors to the aggregation nodes and to servers that decide actuations.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Bodei, C. and Galletta, L. (2019). Tracking Data Trajectories in IoT. In Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-359-9; ISSN 2184-4356, SciTePress, pages 572-579. DOI: 10.5220/0007578305720579

@conference{icissp19,
author={Chiara Bodei. and Letterio Galletta.},
title={Tracking Data Trajectories in IoT},
booktitle={Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP},
year={2019},
pages={572-579},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007578305720579},
isbn={978-989-758-359-9},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP
TI - Tracking Data Trajectories in IoT
SN - 978-989-758-359-9
IS - 2184-4356
AU - Bodei, C.
AU - Galletta, L.
PY - 2019
SP - 572
EP - 579
DO - 10.5220/0007578305720579
PB - SciTePress