IoT and Edge Computing Technologies as Security Option for Train Service in Nigeria

  • Eli Adama Jiya Federal University Dutsinma, Nigeria
  • Faith Titobiloluwa Akinyemi University of Ibadan, Nigeria
  • Uriah A Nwocha Federal College of Education, Nigeria
Keywords: train security, iot in train security, edge computing, train security in nigeria

Abstract

The revival of rail transport service in Nigeria in recent years came at a critical moment of insecurity in Nigeria, it promised not only to serve as an alternative to overloaded vehicles on the roads but was also thought to be a safer means of transportation. Due to kidnapping on many roads, both high and low-class Nigerians patronized rail transport.  However, train attacks and terrorism are major challenges that have impacted the sector negatively. Though the government has tried to improve surveillance along train routes, however, the result has not been impressive. The current level of insecurity in Nigeria is beyond the use of traditional surveillance and monitoring systems. It requires the adoption of technology to fight attacks and to monitor the health of train facilities. While the insecurity challenges that have overwhelmed the security forces will not permit the assignment of more personnel to the rail tracks that stretch several kilometres across the country, the incorporation of IoT and edge computing can be an optimal solution to the challenges of constant security problems. Among the trending technologies, IoT is a viable option that the country can adopt to improve security in the sector. It will increase the confidence of passengers and improve revenue and growth in rail transport.

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References

P. C. Chukwuma, T. Republic, and Y. S. Kim, “Analysis and Design of Smart Transportation System with 4th Industrial Revolution in Nigeria,” vol. 14, no. 4, pp. 39–50, 2018.

N. Nurain, S. Tairin, T. A. Khan, S. Ishraq, and A. B. M. A. Al Islam, “Power attack : An imminent security threat in a real-time system for detecting missing rail blocks Novia Nurain a, d , ∗ , Suraiya Tairin b , Taslim Arefin Khan c , Shahad Ishraq d ,” Comput. Secur., vol. 84, pp. 35–52, 2019, doi: 10.1016/j.cose.2019.03.012.

S. Salvi and S. Shetty, “Rail-Rakshak : A Solar Powered Railway Track Crack Detection and Notification System with Chatbot Support,” in IoT in Social, Mobile, Analytics and Cloud, 2020. doi: 10.1109/I-SMAC47947.2019.9032670.

D. Bombarda and G. M. Vitetta, “Rail Diagnostics Based on Ultrasonic Guided Waves : An Overview,” Appl. Sci., pp. 1–42, 2021, doi: 10.3390/app11031071.

V. J. Hodge, S. O. Keefe, M. Weeks, and A. Moulds, “Wireless Sensor Networks for Condition Monitoring in the Railway Industry : A Survey,” IEEE Trans. Intell. Transp. Syst., vol. 16, no. 3, pp. 1088–1106, 2015, doi: 10.1109/TITS.2014.2366512.

J. Ponto, “Understanding and Evaluating Survey Research,” J. Adv. Pract. Oncol., vol. 6, no. 2, pp. 168–171, 2015.

A. P. Siddaway, A. M. Wood, and L. V Hedges, “How to Do a Systematic Review : A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Syntheses”, Annu Rev Psychol, vol. 1, no. 4, pp. 747-770, 2019, doi: 10.1146/annurev-psych-010418-102803.

B. T. Johnson and E. A. Hennessy, “Systematic reviews and meta-analyses in the health sciences: Best practice methods for research syntheses,” Soc Sci Med, vol. 5, no. july, pp. 237–251, 2021, doi: 10.1016/j.socscimed.2019.05.035.Systematic.

Vanguard, “Insecurity: FG’s negligence, poor planning, reasons for recurring train attacks — Investigation,” Jan. 15, 2023. [Online]. Available: https://www.vanguardngr.com

S. Aborisade, “Encroachment: NRC begins nationwide fencing of rail lines,” Punch, 2018. [Online]. Available: https://punchng.com

B. Mazon Olivo and A. Pan, “Internet of Things: State-of-the-art, Computing Paradigms and Reference Architectures,” Ieee Lat. Am. Trans., vol. 20, no. 1, pp. 49–63, 2021, doi: 10.1109/TLA.2022.9662173.

K. Rose, S. Eldridge, and L. Chapin, “The Internet of Things (IoT): An Overview,” Int. J. Eng. Res. Appl., vol. 5, no. 12, pp. 71–82, 2015.

A. D. Kadam, N. D. Pachupate, and N. D. Kudale, “IoT Based Railway Track Monitoring System Using,” open Acess Int. J. Sci. Eng., vol. 3, no. 1, pp. 79–82, 2018.

M. He, L. Feng, and D. Zhao, “Optik Application of distributed acoustic sensor technology in train running condition monitoring of the heavy-haul railway,” Opt. - Int. J. Light Electron Opt., vol. 181, no. December 2018, pp. 343–350, 2019, doi: 10.1016/j.ijleo.2018.12.074.

C. Du, S. Dutta, P. Kurup, T. Yu, and X. Wang, “A Review of Railway Infrastructure Monitoring using Fiber Optic Sensors,” Sensors Actuators A. Phys., p. 111728, 2019, doi: 10.1016/j.sna.2019.111728.

H. Li, T. Yao, M. Ren, J. Rong, C. Liu, and L. Jia, “Physical topology optimization of infrastructure health monitoring sensor network for high-speed rail,” MEASUREMENT, vol. 79, pp. 83–93, 2016, doi: 10.1016/j.measurement.2015.10.035.

Y. Zhao, X. Yu, M. Chen, M. Zhang, Y. Chen, and X. Niu, “Continuous Monitoring of Train Parameters Using IoT Sensor and Edge Computing,” no. October, 2020, doi: 10.1109/JSEN.2020.3026643.

H. Wijaya, P. Rajeev, and E. Gad, “Optical Fiber Technology Distributed optical fibre sensor for infrastructure monitoring : Field applications,” Opt. Fiber Technol., vol. 64, no. April, p. 102577, 2021, doi: 10.1016/j.yofte.2021.102577.

J. A. G. Ibáñez, S. Zeadally, and J. Contreras-Castillo, “Integration Challenges of Connected Vehicle, Cloud Computing, and Intelligent Transportation Systems with Internet of Things Technologies,” IEEE Wirel. Commun., vol. 22, no. 6, pp. 122–128, 2016.

C. Chellaswamy, T. S. Geetha, A. Vanathi, and K. Venkatachalam, “An IoT based rail track condition monitoring and derailment prevention system,” Int. J. RF Technol. Res. Appl., vol. 11, no. 2, pp. 81–107, 2020, doi: 10.3233/RFT-190210.

A. Thaduri, D. Galar, and U. Kumar, “Railway assets : A potential domain for big data analytics,” Procedia - Procedia Comput. Sci., vol. 53, pp. 457–467, 2015, doi: 10.1016/j.procs.2015.07.323.

W. Yu et al., “A Survey on the Edge Computing for the Internet of Things,” IEEE Access, vol. 6, pp. 6900–6919, 2017, doi: 10.1109/ACCESS.2017.2778504.

S. M. Patel, K. K., & Patel, “Internet of things-IOT: definition, characteristics, architecture, enabling technologies, application & future challenges,” Int. J. Eng. Sci. Comput., vol. 6, no. 5, 2016.

Q. Lin, “Dynamic Resource Allocation Strategy in Mobile Edge Cloud,” Hindawi Mob. Inf. Syst., vol. 2021, pp. 1–10, 2021, doi: 10.1155/2021/8381998.

B. B. Bista, J. Wang, and T. Takata, “Probabilistic computation offloading for mobile edge computing in dynamic network environment,” Internet of Things, vol. 11, p. 100225, 2020, doi: 10.1016/j.iot.2020.100225.

C. Hsu, S. Wang, Y. Zhang, and A. Kobusinska, “Mobile Edge Computing,” Wirel. Commun. Mob. Comput., vol. 2018, pp. 1–3, 2018, doi: 10.1155/2018/7291954.

P. Bellavista, J. Berrocal, A. Corradi, S. K. Das, L. Foschini, and A. Zanni, “A survey on fog computing for the Internet of Things,” Pervasive Mob. Comput., vol. 52, pp. 71–99, 2019, doi: 10.1016/j.pmcj.2018.12.007.

I. A. Elgendy, A. Muthanna, and M. Hammoudeh, “Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing,” vol. 9, no. 4, pp. 265–279, 2021, doi: 10.1089/big.2020.0284.

N. Soni, R. Malekian, and A. Thakur, “Edge Computing in Transportation : Security Issues and Challenges”.

E. A. Jiya, O. M. Olanrewaju, and F. O. Echobu, “Edge Computing Paradigm for Affordable and Efficient Implementation of Intelligent Transport System in Nigeria,” in Transport Technology and Innovation in Nigeria: Policy Guide to a Sustainable Future, B. S. Farah and J. A. Odeleye, Eds., Zaria: NITT, 2022, pp. 37–56.

M. Eylence, M. Yücel, M. M. Özmen, and B. Aksoy, “Railway Security System Design Using Unmanned Aerial Vehicle Image Processing and Deep Learning Methods İnsansız Hava Aracı ile Görüntü İşleme ve Derin Öğrenme Yöntemleri Kullanılarak Demiryolu Güvenlik Sistemi Tasarımı,” Tr. J. Nat. Sci., vol. 11, no. 3, pp. 150–154, 2022.

A. Kampczyk and K. Dybe, “Integrating surveying railway special grid pins with terrestrial laser scanning targets for monitoring rail transport infrastructure,” vol. 170, no. October 2020, 2021, doi: 10.1016/j.measurement.2020.108729.

R. Tang et al., “A literature review of Artificial Intelligence applications in railway systems,” vol. 140, no. May, 2022, doi: 10.1016/j.trc.2022.103679.

M. Sajjad, H. Talpur, R. Sarwar, A. Oad, H. Buriro, and A. H. Soomro, “Smart Railway Track and Crossing Gate Security System Based on IoT,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 10, no. 2, pp. 1346–1355, 2021, doi: 10.30534/ijatcse/2021/1221022021.

A. Ji, W. L. Woo, E. Wai, L. Wong, and Y. T. Quek, “Rail track condition monitoring : a review on deep learning approaches,” vol. 1, no. 2, pp. 151–175, 2021, doi: 10.20517/ir.2021.14.

A. Konikov and L. Surkova, “Monitoring of the transport movement zone using UAV and geostationary satellite,” Transp. Res. Procedia, vol. 63, pp. 1589–1594, 2022, doi: 10.1016/j.trpro.2022.06.172.

E. Agba, “Train crushes Army Sergeant in Lagos,” Daily Trust, Lagos, Nigeria, Jun. 09, 2023. [Online]. Available: https://dailytrust.com/train-crushes-army-sergeant-on-motorcycle-in-lagos

S. Wang, “A Review of Current Research on IoT Applications in Railway Equipment Maintenance.,” J. Adv. Transp., vol. 2019, no. 2457631., 2019.

Published
2023-09-06
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How to Cite
Jiya, E., Akinyemi, F., & Nwocha, U. (2023). IoT and Edge Computing Technologies as Security Option for Train Service in Nigeria. Journal of Information Systems and Informatics, 5(3), 1086-1098. https://doi.org/10.51519/journalisi.v5i3.560