Method of Increasing the Security of Smart Parking System

Authors

  • Tetiana Hovorushchenko Department of Computer Engineering & Information Systems, Khmelnytskyi National University, Khmelnytskyi, Ukraine
  • Olga Pavlova Department of Computer Engineering & Information Systems, Khmelnytskyi National University, Khmelnytskyi, Ukraine
  • Mariia Kostiuk Department of Applied Mechanics, Khmelnytskyi National University, Khmelnytskyi, Ukraine

DOI:

https://doi.org/10.13052/jcsm2245-1439.123.3

Keywords:

Smart Parking System security, external threats, client-server architecture, API, middleware

Abstract

Currently, the urgent task is developing the methods and tools for increasing Smart Parking software system security. The purpose of this study is conducting analysis of requirements for Smart Parking System software security in order to find the bottlenecks and parts of the software that are most vulnerable to external threats and develop the methods and tools for increasing their security. The paper proposes the method of increasing Smart Parking software system security based on integrating the middleware in Smart Parking System software architecture. The proposed method takes into account all the criteria for Smart Parking System software security, i.e. parameters of safe access to the database, client program security, server security and API security and provides a complex solution for increasing the safety of Smart Parking software system. The proposed method differs from the known ones in that it allows taking into account all the criteria for increasing the Smart Parking System software security in complex using security middleware.

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Author Biographies

Tetiana Hovorushchenko, Department of Computer Engineering & Information Systems, Khmelnytskyi National University, Khmelnytskyi, Ukraine

Tetiana Hovorushchenko received the master’s degree in Computer Engineering Department from Khmelnytskyi National University in 2017 and the doctor of sciences degree in Engineering Science in 2018. She is currently working as a Head of the Department of Computer Engineering and Information Systems, Faculty of Information Technology, Khmelnytskyi National University. Her research areas: quality and safety assurance of software, smart city technologies.

Olga Pavlova, Department of Computer Engineering & Information Systems, Khmelnytskyi National University, Khmelnytskyi, Ukraine

Olga Pavlova received the master’s degree in Computer Engineering and System Programming Department from Khmelnytskyi National University in 2017 and the philosophy of doctorate degree in Computer Science from Khmelnytskyi National University in 2021. She is currently working as a Senior Lecturer at the Department of Computer Engineering and Information Systems, Faculty of Information Technology, Khmelnytskyi National University. Her research areas include quality and safety assurance of software, smart city technologies, machine learning and augmented reality.

Mariia Kostiuk, Department of Applied Mechanics, Khmelnytskyi National University, Khmelnytskyi, Ukraine

Mariia Kostiuk received the master’s degree in Applied Mechanics and Systems of Computer-Aided Design of Processes from Khmelnytskyi National University in 2019 and currently is a postgraduate student in Applied Mechanics at Khmelnytskyi National University. She is currently working as a junior researcher at the research department of the Khmelnytskyi National University. Her research areas include industrial IoT, application programming interfaces for hardware and computer-integrated technologies.

References

P. Radiuk, O. Pavlova, H. El Bouhissi, V. Avsiyevych, V. Kovalenko. Convolutional Neural Network for Parking Slots Detection. CEUR Workshop Proceedings, 2022, 3156, pp. 284–293.

T. Hovorushchenko, A. Boyarchuk, O. Pavlova, K. Bobrovnikova. Agent-Oriented Information Technology for Assessing the Initial Stages of the Software Life Cycle. ICTERI Workshops, 2019. pp. 617–632.

Understanding OWASP Mobile Top 10 Risks with Real-world Cases. URL: https://appinventiv.com/blog/owasp-mobile-top-10-real-world-cases/amp (last accessed October 21, 2022).

The top API security risks and how to mitigate them. URL: https://appinventiv.com/blog/how-to-mitigate-api-security-risks/ (last accessed October 21, 2022).

I. Lopatto, T. Hovorushchenko, P. Popov, O. Pavlova. Intelligent Multi-Agent System for Improving the Quality of Software by Taking into Account the Information of the Subject Area at All Stages of its Development. Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2021, 2021, 1, pp. 548–551.

W. A. Amiri, M. Baza, K. Banawan, M. Mahmoud, W. Alasmary and K. Akkaya. Towards Secure Smart Parking System Using Blockchain Technology, 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), 2020, pp. 1–2, doi: 10.1109/CCNC46108.2020.9045674.

A. Waheed and P.V. Krishna. Comparing Biometric and Blockchain Security Mechanisms in Smart Parking System, 2020 International Conference on Inventive Computation Technologies (ICICT), 2020, pp. 634–638, doi: 10.1109/ICICT48043.2020.9112483.

L. Kumar, M. H. Khan and M. S. Umar. Smart parking system using RFID and GSM technology. 2017 International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), 2017, pp. 180–184, doi: 10.1109/MSPCT.2017.8364000.

CP. Lee, FTJ. Leng, RAA. Habeeb, MAA. Amanullah, M. Rehman. Edge computing-enabled secure and energy-efficient smart parking: A review, Microprocessors and Microsystems, Volume 93, 2022.

S. Ahmed, Soaibuzzaman, M. S. Rahman and M. S. Rahaman. A Blockchain-Based Architecture for Integrated Smart Parking Systems. 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2019, pp. 177–182, doi: 10.1109/PERCOMW.2019.8730772.

C. Biyik, Z. Allam, G. Pieri, G. Moroni, M. O’Fraifer, M. O’Connell, S. Olariu, M. Khalid. Smart Parking Systems: Reviewing the Literature, Architecture and Ways Forward. Smart Cities. 2021; 4(2), pp. 623–642.

G.B. Imbugwa, M. Mazzara. (2021). Towards a Secure Smart Parking Solution for Business Entities. Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol. 227. Springer, pp. 469–478.

O. Abdulkader, A. M. Bamhdi, V. Thayananthan, K. Jambi and M. Alrasheedi. A novel and secure smart parking management system (SPMS) based on integration of WSN, RFID, and IoT, 2018 15th Learning and Technology Conference (L&T), 2018, pp. 102–106, doi: 10.1109/LT.2018.8368492.

SK. Singh, Y. Pan, J. Hyuk Park. Blockchain-enabled Secure Framework for Energy-Efficient Smart Parking in Sustainable City Environment, Sustainable Cities and Society, Volume 76, 2022.

M. Garcia, P. Rose, R. Sung and S. El-Tawab. Secure Smart Parking at James Madison University via the Cloud Environment (SPACE). 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS), 2016, pp. 271–276, doi: 10.1109/SIEDS.2016.7489313.

A. Anwar, Ijaz-ul-Haq, N. Saeed and P. Saadati. Smart Parking: Novel Framework of Secure Smart Parking Solution using 5G Technology. 2021 IEEE International Smart Cities Conference (ISC2), 2021, pp. 1–4, doi: 10.1109/ISC253183.2021.9562776.

T. Hovorushchenko, O. Pavlova, V. Avsiyevych. Method of Assessing the Impact of External Factors on Geopositioning System Operation Using Android GPS API. 2021 International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 2021, 1, pp. 295–298.

A. Waheed, P. V. Krishna, J. Gitanjali, B. Sadoun, M. Obaidat. Learning automata and reservation based secure smart parking system: Methodology and simulation analysis, Simulation Modelling Practice and Theory, Volume 106, 2021.

Y. Atif, J. Ding, MA. Jeusfeld, Internet of Things Approach to Cloud-based Smart Car Parking, Procedia Computer Science, Volume 98, 2016.

I.M. Hakim, M. Christover, A.M. Jaya Marindra. Implementation of an image processing based smart parking system using Haar-Cascade method. 2019 IEEE 9th Symposium on Computer Applications Industrial Electronics (ISCAIE-2019). pp. 222–227. IEEE Inc., Penang, Malaysia, 27–28 April 2019. DOI: 10.1109/ISCAIE.2019.8743906.

G. Manjula, G.G. Rajulu, Anand, J.T. Thirukrishna. Implementation of smart parking application using IoT and machine learning algorithms. Computer Networks and Inventive Communication Technologies. Springer Singapore, Singapore, 2022. pp. 247–257 doi: 10.1007/978-981-16-3728-5_18.

D. Vakula, Y.K. Kolli. Low cost smart parking system for smart cities. 2017 International Conference on Intelligent Sustainable Systems, 2017. DOI: 10.1109/ISS1.2017.8389415.

R. Tkachenko, I. Izonin, I. Dronyuk, M. Logoyda, P. Tkachenko. Recovery of missing sensor data with grnn-based cascade scheme. International Journal of Sensors, Wireless Communications and Control, 2021, 11(5), pp. 531–541.

Zaitseva E., Levashenko V., Construction of a reliability structure function based onuncertain data, IEEE Transactions on Reliability, vol. 65, no. 4, 2016, pp. 1710–1723.

Zaitseva E., Levashenko V., Reliability analysis of multi-state system with application of multiple-valued logic, International Journal of Quality and Reliability Management, vol. 34, no. 6, 2017, pp. 862–878.

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Published

2023-05-18

How to Cite

1.
Hovorushchenko T, Pavlova O, Kostiuk M. Method of Increasing the Security of Smart Parking System. JCSANDM [Internet]. 2023 May 18 [cited 2024 Apr. 25];12(03):297-314. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/18839

Issue

2023: Vol 12 Iss 3

Section

Assurance of Information Systems’ Quality and Security

License

Copyright (c) 2023 Journal of Cyber Security and Mobility

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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