An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles

Dragos Strugar; Rasheed Hussain; Manuel Mazzara; Victor Rivera; Ilya Afanasyev; Joo Young Lee

doi:10.1007/978-3-030-15035-8_11

An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles

Dragos Strugar^*, Rasheed Hussain, Manuel Mazzara, Victor Rivera, Ilya Afanasyev, Joo Young Lee

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

6 Citations (Scopus)

42 Downloads (Pure)

Abstract

Electric Autonomous Vehicles (EAVs) promise to be an effective way to solve transportation issues such as accidents, emissions and congestion, and aim at establishing the foundation of Machine-to-Machine (M2M) economy. For this to be possible, the market should be able to offer appropriate charging services without involving humans. The state-of-the-art mechanisms of charging and billing do not meet this requirement, and often impose service fees for value transactions that may also endanger users and their location privacy. This paper aims at filling this gap and envisions a new charging architecture and a billing framework for EAV which would enable M2M transactions via the use of Distributed Ledger Technology (DLT).

Original language	English
Title of host publication	Web, Artificial Intelligence and Network Applications
Subtitle of host publication	Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)
Editors	Leonard Barolli, Fatos Xhafa, Makoto Takizawa, Tomoya Enokido
Publisher	Springer Verlag
Pages	116-128
Number of pages	13
ISBN (Electronic)	978-3-030-15035-8
ISBN (Print)	978-3-030-15034-1
DOIs	https://doi.org/10.1007/978-3-030-15035-8_11
Publication status	Published - 15 Mar 2019
Event	33rd International Conference on Advanced Information Networking and Applications, AINA 2019 - Matsue, Japan Duration: 27 Mar 2019 → 29 Mar 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	927
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	33rd International Conference on Advanced Information Networking and Applications, AINA 2019
Country/Territory	Japan
City	Matsue
Period	27/03/19 → 29/03/19

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

cs.CY

Access to Document

10.1007/978-3-030-15035-8_11

Full-text PDF (accepted author manuscript)
This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Springer at https://link.springer.com/chapter/10.1007/978-3-030-15035-8_11. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 709 KB

Handle.net

Persistent link

Cite this

Strugar, D., Hussain, R., Mazzara, M., Rivera, V., Afanasyev, I., & Lee, J. Y. (2019). An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles. In L. Barolli, F. Xhafa, M. Takizawa, & T. Enokido (Eds.), Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019) (pp. 116-128). (Advances in Intelligent Systems and Computing; Vol. 927). Springer Verlag. https://doi.org/10.1007/978-3-030-15035-8_11

Strugar, Dragos ; Hussain, Rasheed ; Mazzara, Manuel et al. / An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles. Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). editor / Leonard Barolli ; Fatos Xhafa ; Makoto Takizawa ; Tomoya Enokido. Springer Verlag, 2019. pp. 116-128 (Advances in Intelligent Systems and Computing).

@inproceedings{5014f7ceb43b488aa4543cc05c0f456d,

title = "An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles",

abstract = "Electric Autonomous Vehicles (EAVs) promise to be an effective way to solve transportation issues such as accidents, emissions and congestion, and aim at establishing the foundation of Machine-to-Machine (M2M) economy. For this to be possible, the market should be able to offer appropriate charging services without involving humans. The state-of-the-art mechanisms of charging and billing do not meet this requirement, and often impose service fees for value transactions that may also endanger users and their location privacy. This paper aims at filling this gap and envisions a new charging architecture and a billing framework for EAV which would enable M2M transactions via the use of Distributed Ledger Technology (DLT).",

keywords = "cs.CY",

author = "Dragos Strugar and Rasheed Hussain and Manuel Mazzara and Victor Rivera and Ilya Afanasyev and Lee, \{Joo Young\}",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 33rd International Conference on Advanced Information Networking and Applications, AINA 2019 ; Conference date: 27-03-2019 Through 29-03-2019",

year = "2019",

month = mar,

day = "15",

doi = "10.1007/978-3-030-15035-8\_11",

language = "English",

isbn = "978-3-030-15034-1",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "116--128",

editor = "Leonard Barolli and Fatos Xhafa and Makoto Takizawa and Tomoya Enokido",

booktitle = "Web, Artificial Intelligence and Network Applications",

address = "Germany",

}

Strugar, D, Hussain, R, Mazzara, M, Rivera, V, Afanasyev, I & Lee, JY 2019, An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles. in L Barolli, F Xhafa, M Takizawa & T Enokido (eds), Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). Advances in Intelligent Systems and Computing, vol. 927, Springer Verlag, pp. 116-128, 33rd International Conference on Advanced Information Networking and Applications, AINA 2019, Matsue, Japan, 27/03/19. https://doi.org/10.1007/978-3-030-15035-8_11

An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles. / Strugar, Dragos; Hussain, Rasheed; Mazzara, Manuel et al.
Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). ed. / Leonard Barolli; Fatos Xhafa; Makoto Takizawa; Tomoya Enokido. Springer Verlag, 2019. p. 116-128 (Advances in Intelligent Systems and Computing; Vol. 927).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles

AU - Strugar, Dragos

AU - Hussain, Rasheed

AU - Mazzara, Manuel

AU - Rivera, Victor

AU - Afanasyev, Ilya

AU - Lee, Joo Young

PY - 2019/3/15

Y1 - 2019/3/15

N2 - Electric Autonomous Vehicles (EAVs) promise to be an effective way to solve transportation issues such as accidents, emissions and congestion, and aim at establishing the foundation of Machine-to-Machine (M2M) economy. For this to be possible, the market should be able to offer appropriate charging services without involving humans. The state-of-the-art mechanisms of charging and billing do not meet this requirement, and often impose service fees for value transactions that may also endanger users and their location privacy. This paper aims at filling this gap and envisions a new charging architecture and a billing framework for EAV which would enable M2M transactions via the use of Distributed Ledger Technology (DLT).

AB - Electric Autonomous Vehicles (EAVs) promise to be an effective way to solve transportation issues such as accidents, emissions and congestion, and aim at establishing the foundation of Machine-to-Machine (M2M) economy. For this to be possible, the market should be able to offer appropriate charging services without involving humans. The state-of-the-art mechanisms of charging and billing do not meet this requirement, and often impose service fees for value transactions that may also endanger users and their location privacy. This paper aims at filling this gap and envisions a new charging architecture and a billing framework for EAV which would enable M2M transactions via the use of Distributed Ledger Technology (DLT).

KW - cs.CY

UR - https://www.scopus.com/pages/publications/85064865863

U2 - 10.1007/978-3-030-15035-8_11

DO - 10.1007/978-3-030-15035-8_11

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:85064865863

SN - 978-3-030-15034-1

T3 - Advances in Intelligent Systems and Computing

SP - 116

EP - 128

BT - Web, Artificial Intelligence and Network Applications

A2 - Barolli, Leonard

A2 - Xhafa, Fatos

A2 - Takizawa, Makoto

A2 - Enokido, Tomoya

PB - Springer Verlag

T2 - 33rd International Conference on Advanced Information Networking and Applications, AINA 2019

Y2 - 27 March 2019 through 29 March 2019

ER -

Strugar D, Hussain R, Mazzara M, Rivera V, Afanasyev I, Lee JY. An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles. In Barolli L, Xhafa F, Takizawa M, Enokido T, editors, Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019). Springer Verlag. 2019. p. 116-128. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-15035-8_11

An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this