Skip to main content

Solving the Problem of Income Loss in the Networks of the Transport Telecommunications Operator When Providing the VPN Service

  • Conference paper
  • First Online:
VIII International Scientific Siberian Transport Forum (TransSiberia 2019)

Abstract

Intensive development of the communications industry forces operators to pay special attention to fraud control and cybersecurity issues. New technologies allow fraudsters to improve methods of gaining illegal access to transport network infrastructure and it is becoming increasingly difficult for operators to confront this problem. Significant losses from fraud and cybercrime can cause the company to lose part of its revenue and the company can suffer from the decline in investment attractiveness as well as potential brand damage. To avoid this, it is necessary to use specialized technical means that allow timely detection and prevention of illegal actions of attackers. The authors of the article analysed the points of the income loss in providing the IP VPN service within a network of a transport communications operator. A software solution is proposed that performs the tasks of monitoring the correctness of the provision and accounting of access services to a data network using L2VPN/L3VPN technologies or direct connection to an IP/MPLS network.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bernardo, G.L.: 2018’s Top Telecom Fraud Threats. https://www.thefastmode.com/services-and-innovations/11751-2018-s-top-telecom-fraud-threats

  2. Sahin, M., Francillon, A., Gupta, P., Ahamad, M.: SoK: fraud in telephony networks. In: 2017 IEEE European Symposium on Security and Privacy, pp. 235–250 (2017). https://doi.org/10.1109/eurosp.2017.40

  3. Mark, N., Suren, N.: Network Intventory Reconciliation. Telecom Fraud Management Services Software & Processes, pp. 3–6 (2015). http://www.technology-research.com/products/bizassure/bizassure_toc.php#b14

  4. Baker, D.: Telecom Fraud & Business Assurance Solutions, Services, & Strategies (2019). http://www.technology-research.com/products/fraudmgt.php

  5. McDermott, F., McDermott, J.: ARM Data Center Software’s Cloud-Based Network Inventory Links Network, Operations, Billing, Sales & CRM to One Database (2019). http://bswan.org/single_database_inventory.asp

  6. Knight, P.: Protecting Data from the Insider Threat. Veriato Closes the Security Gap with Massive Data Collection & Machine Learning (2019). http://fraudtech.net/veriato_insider_threat.asp

  7. Jans, M., Lybaert, N., Vanhoof, K.: A framework for internal fraud risk reduction at IT integrating business processes: the IFR2 framework. Int. J. Digit. Account. Res. 9, 1–29 (2009). https://doi.org/10.4192/1577-8517-v9_1

    Article  Google Scholar 

  8. Kim, H., Kwon, W.J.: Multi-line insurance fraud recognition system: a government-led approach in Korea. Risk Manag. Insur. Rev. 92, 131–147 (2006)

    Article  Google Scholar 

  9. Tsung, F., Zhou, Z., Jiang, W.: Applying manufacturing batch techniques to fraud detection with incomplete customer information. IIE Trans. 396, 671–680 (2007)

    Article  Google Scholar 

  10. Hoogs, B., Kiehl, T., Lacomb, C., Senturk, D.: A genetic algorithm approach to detecting temporal patterns indicative of financial statement fraud. Intell. Syst. Account. Finance Manag. 15, 41–56 (2007)

    Article  Google Scholar 

  11. Juszczak, P., Adams, N.M., Hand, D.J., Whitrow, C., Weston, D.J.: Off-the-peg and bespoke classifiers for fraud detection. Comput. Stat. Data Anal. 52(9), 4521–4532 (2008)

    Article  MathSciNet  Google Scholar 

  12. Baker, T.: Anti – fraud management survey results, magnify your anti fraud management (2008). http://www.bakertilly.com/cms/public/userfiles/40eb699b88a3fbd294f043905ecdb9b1e448003f/00d16e0290b6ce8f3262342142d8ed8f093ec767Antifraud%20management%20survey_2008.04.pdf

  13. de Reuver, M., Verschuur, E., Nikayin, F., Cerpa, N., Bouwman, H.: Collective action for mobile payment platforms: a case study on collaboration issues between banks and telecom operators. Electron. Commer. Res. Appl. 14(5), 331–344 (2015)

    Article  Google Scholar 

  14. Glick, W.H.: Business Process Reengineering. Wiley Encyclopedia of Management, pp. 1–2 (2015)

    Google Scholar 

  15. Van Vlasselaer, V., Eliassi-Rad, T., Akoglu, L., Snoeck, M., Baesens, B.: Afraid: fraud detection via active inference in time-evolving social networks. In: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 659–666 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Galina Kolodeznaia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Radchenko, A., Kolodeznaia, G., Karpovich, I. (2020). Solving the Problem of Income Loss in the Networks of the Transport Telecommunications Operator When Providing the VPN Service. In: Popovic, Z., Manakov, A., Breskich, V. (eds) VIII International Scientific Siberian Transport Forum. TransSiberia 2019. Advances in Intelligent Systems and Computing, vol 1115. Springer, Cham. https://doi.org/10.1007/978-3-030-37916-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37916-2_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37915-5

  • Online ISBN: 978-3-030-37916-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics