research-article

CAN’t track us: : Adaptable privacy for ISOBUS controller area networks

Authors:

Alexander Bothe,

Nils AschenbruckAuthors Info & Claims

Volume 66, Issue C

https://doi.org/10.1016/j.csi.2019.04.003

Published: 01 October 2019 Publication History

Highlights

•

Adaptable privacy concept for ISOBUS communication suited for collaborative Farming.

•

Modular privacy framework including hardware proxy, basic privacy filters, and GUI.

•

Low-cost prototype implementation, its performance evaluation, and feasibility study.

•

Application-specific filter evaluation using real-world traces and a CAN Simulator.

Abstract

Modern information technologies have revolutionized agriculture in many ways. Today, positioning systems along with Internet of Things technologies enable Smart Faming with site-specific applications and interconnected machinery. Current machines and implements are equipped with multiple sensors and actors that are embedded in the machine’s Controller Area Network (CAN) using ISOBUS. In operation, such components continuously produce and exchange internal and environmental sensor information. However, CAN communication is not secure and privacy issues arise whenever different actors are involved in collaborative tasks. In this paper, we present CAN’t, a modular privacy framework for collaborative Smart Farming. The core of the framework is a special proxy that allows to apply privacy filters to selected CAN/ISOBUS data streams. Moreover, it allows to agree on the accessible level of information content for each actor. We implemented a proof-of-concept prototype based on low-cost commercial off-the-shelf hardware. Its evaluation comprises technical and privacy aspects. By using real-world ISOBUS traces as well as a commercial CAN hardware simulator, the feasibility of our approach is shown.

References

[1]

S. Cox, Information technology: the global key to precision agriculture and sustainability, Comput. Electron. Agric. 36 (2–3) (2002) 93–111,.

[2]

Beecham Research Ltd., Enabling The Smart Agriculture Revolution – The Future of Farming through the IoT Perspective, Technical Report, 2016.

[3]

D. Vasisht, Z. Kapetanovic, J. Won, X. Jin, R. Chandra, A. Kapoor, S.N. Sinha, M. Sudarshan, S. Stratman, Farmbeats: an IoT platform for data-driven agriculture, Proc. of the 14th USENIX Conference on Networked Systems Design and Implementation (NSDI), Boston, MA, USA, 2017, pp. 515–528.

[4]

H. Auernhammer, Precision farming — the environmental challenge, Comput. Electron. Agric. 30 (1–3) (2001) 31–43,.

[5]

N. Zhang, M. Wang, N. Wang, Precision agriculture – a worldwide overview, Comput. Electron. Agric. 36 (2–3) (2002) 113–132,.

[6]

J.M. Lowenberg-DeBoer, The precision agriculture revolution: making the modern farmer, Foreign Aff. 94 (2015) 105–112.

[7]

D.J. Mulla, Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps, Biosyst. Eng. 114 (4) (2013) 358–371,.

[8]

A.J. Scarlett, Integrated control of agricultural tractors and implements: a review of potential opportunities relating to cultivation and crop establishment machinery, Comput. Electron. Agric. 30 (2001) 167–191,.

[9]

International Organization for Standardization, Road vehicles - controller area network (CAN) – Part 1: data link layer and physical signalling, ISO, 2015.

[10]

U. Kiencke, S. Dais, M. Litschel, Automotive Serial Controller Area Network, SAE Technical Paper, SAE Int., 1986.

[11]

International Organization for Standardization, Tractors and machinery for agriculture and forestry – Serial control and communications data network – Parts 1–14, 2007.

[12]

T. Oksanen, M. Öhman, M. Miettinen, A. Visala, ISO 11783 – Standard and its implementation, IFAC Proc. Vol. 38 (1) (2005) 69–74,.

[13]

F. Hartwich, CAN with Flexible Data-Rate, Proc. of the 13th Int. CAN Conference (iCC), Neustadt an der Weinstraße, Germany, 2012.

[14]

G. Marcon Zago, E. Pignaton de Freitas, A quantitative performance study on CAN and CAN FD vehicular networks, IEEE Trans. Ind. Electron. 65 (5) (2018) 4413–4422,.

[15]

M. Selvatici, M. Ruggeri, L. Dariz, Advanced gateway services for real-time in-vehicle Ethernet network, Proc. of the IEEE Int. Conference on Industrial Technology (ICIT), Seville, Spain, 2015, pp. 1826–1831,.

[16]

J. Bauer, N. Aschenbruck, Measuring and adapting MQTT in cellular networks for collaborative smart farming, Proc. of the 42nd IEEE Conference on Local Computer Networks (LCN), Singapore, 2017, pp. 294–302,.

[17]

P. Vogel, A. Klaus, Zulässigkeit der Verarbeitung von GPS-Daten im Arbeitsverhältnis (in German), Digivation-Sammelband (2018) 1–10.

[18]

C. Szilagyi, P. Koopman, Flexible multicast authentication for time-triggered embedded control network applications, Proc. of the IEEE/IFIP Int. Conference on Dependable Systems & Networks (DSN), 2009, pp. 165–174,.

[19]

C.W. Lin, A. Sangiovanni-Vincentelli, Cyber-security for the controller area network (CAN) communication protocol, Proc. of the Int. Conference on Cyber Security, 2012, pp. 1–7,.

Digital Library

[20]

Y. Wu, Y.-J. Kim, Z. Piao, J.G. Chung, Y.-E. Kim, Security protocol for controller area network using ECANDC compression algorithm, Proc. of the IEEE Int. Conference on Signal Processing, Communications and Computing (ICSPCC), 2016, pp. 1–4,.

[21]

P.S. Murvay, B. Groza, Source identification using signal characteristics in controller area networks, IEEE Signal Process. Lett. 21 (4) (2014) 395–399,.

[22]

N. Iglesias, P. Bulacio, E. Tapia, Enabling powerful GUIs in ISOBUS networks by transparent data compression, Comput. Stand. Interfaces 36 (5) (2014) 801–807,.

Digital Library

[23]

R. Baumann, S. Heimlicher, M. Strasser, A. Weibel, A Survey on Routing Metrics, TIK Report 262, Computer Engineering and Networks Laboratory, ETH-Zentrum, Zurich, Switzerland, 2007.

[24]

K.W. Tindell, H. Hansson, A.J. Wellings, Analysing real-time communications: controller area network (CAN), Proc. of Real-Time Systems Symposium (RTSS), San Juan, Puerto Rico, 1994, pp. 259–263,.

[25]

R.I. Davis, A. Burns, R.J. Bril, J.J. Lukkien, Controller area network (CAN) schedulability analysis: refuted, revisited and revised, Real-Time Syst. 35 (3) (2007) 239–272,.

Digital Library

[26]

R.K. Ganti, N. Pham, Y.-E. Tsai, T.F. Abdelzaher, PoolView: stream privacy for grassroots participatory sensing, Proc. of the 6th ACM Conference on Embedded Network Sensor Systems (SenSys), Raleigh, NC, USA, 2008, pp. 281–294,.

Digital Library

Cited By

Su YHou LLi SJiang Z(2022)Design of Temperature Monitoring System Using Distributed Intelligent CAN Bus NetworksArtificial Intelligence and Security10.1007/978-3-031-06794-5_11(128-141)Online publication date: 15-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-06794-5_11

Index Terms

CAN’t track us: Adaptable privacy for ISOBUS controller area networks
1. Security and privacy
  1. Human and societal aspects of security and privacy
2. Social and professional topics
  1. Computing / technology policy

Index terms have been assigned to the content through auto-classification.

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Information

Published In

cover image Computer Standards & Interfaces

Computer Standards & Interfaces Volume 66, Issue C

Oct 2019

376 pages

ISSN:0920-5489

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Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 October 2019

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Citations

Cited By

Su YHou LLi SJiang Z(2022)Design of Temperature Monitoring System Using Distributed Intelligent CAN Bus NetworksArtificial Intelligence and Security10.1007/978-3-031-06794-5_11(128-141)Online publication date: 15-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-06794-5_11

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