A Resilient micro-payment infrastructure: an approach based on blockchain technology

Authors

  • Soumaya Bel Hadj Youssef School of Communication Engineering (SUP'COM),University of Carthage, Tunisia
  • Noureddine Boudriga School of Communication Engineering (SUP'COM), University of Carthage, Tunisia

DOI:

https://doi.org/10.48129/kjs.v49i1.10578

Keywords:

Blockchain technology, ecommerce, micropayment, recovery from cyber attacks

Abstract

Micro-payment systems are growing at a rapid pace despite their security weaknesses. Resilient micro-payment infrastructure is a critical asset to digital economy as it helps protecting transactions and extends micro shopping. In this paper, we present a micro payment infrastructure based on blockchain technology that is capable of reducing the complexity of transactions’ verification, reducing losses, and recovering from various cyber attacks. This infrastructure is user trust-aware, in the sense that it builds a trust function capable of providing a real time management of the user’s trust levels based on historic activity and then adapt the level of verification and risk of misconduct. Moreover, three different trust models are developed to provide different estimations of the tokens’ block size to be submitted to the blockchain network for verification and control of the user waiting time. The micropayment infrastructure provides different security services such as authentication, double-spending and double-selling prevention, tokens forging prevention, transaction traceability, and recovery from cyber attack. In addition, its efficiency is improved through the reduction of the verification delay and user waiting time. Finally, a numerical simulation is conducted to assess the performance of the infrastructure.

Author Biographies

Soumaya Bel Hadj Youssef, School of Communication Engineering (SUP'COM),University of Carthage, Tunisia

Soumaya Bel Hadj Youssef received her National Engineering Degree in Communications and Networks from the National Engineering School of GABES in 2008 and her Research Master Degree in Telecommunications from Higher School of Communications of Tunis (SUP’Com, Tunisia) in 2010. She is currently a PhD Student at SUP’Com.

Noureddine Boudriga, School of Communication Engineering (SUP'COM), University of Carthage, Tunisia

Pr. Noureddine Boudriga is an internationally known scientist/academic. He received his Doctorate in Algebraic Topology from University Paris XI (France) and his DSc (Doctorat d’Etat) in Computer Science from the University of Tunis (Tunisia). He is currently an Emeritus Professor of Telecommunications at the University of Carthage, Tunisia. He is an extraordinary professor at Western Cape University, South Africa. He has served as the General Director and founder of the Tunisian National Digital Certification Agency. He is the recipient of the Tunisian Presidential Award in Science and Research (2004). He is involved in a very active research in communication networks, cyber security and defense, and Optical and wireless communication. He authored and co-authored a large number of journal papers, books, and book chapters on communication networks and cyber security.

References

S. T. Ali, D. Clarke, and P. McCorry, “The nuts and bolts

of micropayments: a survey,” CoRR, vol. abs/1710.02964,

, arXiv:1710.02964v1 [cs.CR].

K. Zile and R. Strazdina, “Blockchain use cases and their

feasibility,” Applied Computer Systems, vol. 23, no. 1, pp.

–20, 2018.

H. Dai, H. P. Young, T. J. S. Durant, G. Gong, M. Kang,

H. M. Krumholz, W. L. Schulz, and L. Jiang, “Trialchain:

A blockchain-based platform to validate data

integrity in large, biomedical research studies,” CoRR,

vol. abs/1807.03662, 2018, arXiv:1807.03662v1 [cs.DC].

H.-N. Dai, Z. Zheng, and Y. Zhang, “Blockchain for

internet of things: A survey,” IEEE Internet of Things

J., vol. 6, no. 5, pp. 8076 – 8094, 2019.

A. Ensor, S. Schefer-Wenzl, and I. Miladinovic,

“Blockchains for iot payments: a survey,” in Proc. of

the 2018 IEEE Globecom Workshops (GC Wkshps), Abu

Dhabi, United Arab Emirates, 2018.

S. Makridakis and K. Christodoulou, “Blockchain: Current

challenges and future prospects/applications,” Future

Internet, vol. 11, no. 258, 2019, mDPI.

R. Pass and abhi shelat, “Micropayments for decentralized

currencies,” in CCS ’15 Proc. of the 22nd ACM

SIGSAC Conf. on Computer and Communications Security,

Denver, Colorado, USA, October 2015, pp. 207–218.

F. Rezaeibagha and Y. Mu, “Efficient micropayment

of cryptocurrency from blockchains,” The Computer J.,

vol. 62, no. 4, pp. 507–517, 2018.

Z.-G. Wan, R. H. Deng, D. Lee, and Y. Li, “Microbtc:

Efficient, flexible and fair micropayment for bitcoin using

hash chains,” J. OF COMPUTER SCIENCE AND TECHNOLOGY,

vol. 34, no. 2, pp. 403–415, 2019.

C. Decker and R. Wattenhofer, “A fast and scalable payment

network with bitcoin duplex micropayment channels,”

in Proc. of the Int. Symp. on Stabilization, Safety,

and Security of Distributed Systems (SSS), Edmonton,

Canada, 2015.

J. Poon and T. Dryja, “The bitcoin lightning network:

Scalable off-chain instant payments,” Tech. Rep., 2016,

https://lightning. network/lightning-network-paper. pdf.

D. Zhang, J. Le, N. Mu, and X. Liao, “An anonymous

off-blockchain micropayments scheme for cryptocurrencies

in the real world,” IEEE Transactions on Systems,

Man, and Cybernetics: Systems, pp. 1–11, 2018, dOI:

1109/TSMC.2018.2884289.

E. Heilman, F. Baldimtsi, and S. Goldberg, “Blindly

signed contracts: Anonymous on-blockchain and offblockchain

bitcoin transacations,” in the 20th Int. conf. on

financial cryptography and data security, Proc. of the FC

Int. Workshops, BITCOIN, VOTING, and WAHC,

S. B. Heidelberg, Ed., Christ Church, Barbados, 2016,

pp. 43–60, https://eprint.iacr.org/2016/056.pdf.

A. Xu, M. Li, X. Huang, N. Xue, J. Zhang, and Q. Sheng,

“A blockchain based micro payment system for smart

devices,” Signature, vol. 256, no. 4936, p. 115, 2016.

T. Lundqvist, A. de Blanche, and H. R. H. Andersson,

“Thing-to-thing electricity micro payments using

blockchain technology,” in Proc. of the 2017 Global

Internet of Things Summit (GIoTS), Geneva, Switzerland,

June 2017.

R. Radhakrishnan and B. Krishnamachari, “Streaming

data payment protocol (sdpp) for the internet of things,” in

IEEE Int. Conf. on Internet of Things (iThings) and

IEEE Green Computing and Communications (Green-

Com) and IEEE Cyber, Physical and Social Computing

(CPSCom) and IEEE Smart Data (SmartData), Halifax,

NS, Canada, 2018, pp. 1679–1684.

D. Chen, Z. Zhang, A. Krishnan, and B. Krishnamachari,

“Payflow: Micropayments for bandwidth reservations in

software defined networks,” in IEEE INFOCOM 2019

- IEEE Conf. on Computer Communications Workshops

(INFOCOM WKSHPS), Paris, France, 2019, pp. 26–31.

G. S. Ramachandran, X. Ji, P. Navaney, L. Zheng,

M. Martinez, and B. Krishnamachari, “Motive: micropayments

for trusted vehicular services,” CoRR, vol.

abs/1904.01630, 2019, arXiv:1904.01630v1 [cs.DC].

D. Strugar, R. Hussain, M. Mazzara, V. Rivera, J. Lee,

and R. Mustafin, “On m2m micropayments : A case study

of electric autonomous vehicles,” in Proc. of the 2018

IEEE International Conference on Internet of Things

(iThings) and IEEE Green Computing and Communications

(GreenCom) and IEEE Cyber, Physical and Social

Computing (CPSCom) and IEEE Smart Data (Smart-

Data), Halifax, NS, Canada, Canada, 2018, pp. 1697–

Z. Ye, T. Wen, Z. Liu, X. Song, and C. Fu, “An efficient

dynamic trust evaluation model for wireless sensor

networks,” sensors, vol. 2017, 2017.

Z. Chen, L. Tian, and C. Lin, “Trust model of wireless

sensor networks and its application in data fusion,” sensors,

vol. 17, no. 4, 2017.

J. Duan, D. Gao, C. H. Foh, and V. C. M. Leung,

“Trust and risk assessment approach for access control

in wireless sensor networks,” in Proc. of the 2013 IEEE

th Vehicular Technology Conference (VTC Fall), 2013.

J. ZHAO, J. HUANG, and N. XIONG, “An effective

exponential-based trust and reputation evaluation system

in wireless sensor networks,” Special Section on Artificial

Intelligence and Cognitive Computing for Communication

and sensors, vol. 7, pp. 33 859 – 33 869, 2019.

R. Feng, X. Han, Q. Liu, and N. Yu, “A credible bayesianbased

trust management scheme for wireless sensor networks,”

Int. J. of Distributed Sensor Networks, vol. 2015,

S. Che, R. Feng, X. Liang, and X. Wang, “A lightweight

trust management based on bayesian and entropy for

wireless sensor networks,” Security and communication

networks, vol. 8, no. 2, pp. 168–175, 2015.

Y. Yu, K. Li, W. Zhou, and P. Li, “Trust mechanisms

in wireless sensor networks: Attack analysis and countermeasures,” J. of Network and Computer Applications,

vol. 35, no. 3, pp. 867–880, 2012.

G. Sun, Z. Zhang, B. Zheng, and Y. Li, “Multi-sensor

data fusion algorithm based on trust degree and improved

genetics,” sensors, vol. 19, no. 9, 2019.

W. Alnumay, U. Ghosh, and P. Chatterjee, “A trustbased

predictive model for mobile ad hoc network

in internet of things,” sensors, vol. 19, no. 6, 2019,

doi:10.3390/s19061467.

J. Zhang, Q. Sun, A. Zhou, and J. Li, “A novel trust

update mechanism based on sliding window for trust

management system,” in Proc. of Int. Conf. on Computational

Science and Its Applications (ICCSA 2016),

Beijing, China, 2016, pp. 521–528.

E. Zupancic and B. Zalik, “Data trustworthiness evaluation

in mobile crowdsensing systems with users’ trust

dispositions’ consideration,” sensors, vol. 19, no. 6, 2019.

X. J. Yang, V. V. Unhelkar, K. Li, and J. A. Shah,

“Evaluating effects of user experience and system transtransparency on trust in automation,” in Proc. of the 2017

ACM/IEEE Int. Conf. on Human-Robot Interaction (HRI

’17), Vienna, Austria, 2017, pp. 408–416.

C. Wang, C. Zhang, and X. J. Yang, “Automation reliability

and trust: A bayesian inference approach,” Proc.

of the Human Factors and Ergonomics Society Annual

Meeting, vol. 62, no. 1, pp. 202–206, 2018.

Published

02-12-2021