Skip to main content
SpringerLink
Log in

Using Fuzzy Cognitive Map Approach for Assessing Cybersecurity for Telehealth Scenario

  • Conference paper
  • First Online:
Trends and Innovations in Information Systems and Technologies (WorldCIST 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1160))

Included in the following conference series:

Abstract

Health organizations are investing in the development of telehealth systems to expand advances in health care to the homes of the Brazilian population. The adoption of telehealth aims to broaden basic monitoring and promote access to health services. Telehealth systems present a confidential data set containing patient health history, medication prescriptions, and medical diagnostics. However, in Brazil, there are no cybersecurity studies to address factors that impact patient manipulation and data transfer. Understanding cybersecurity impacts is critical for telehealth development strategies. The research reported here used several factors related to cyberattacks and cybersecurity vulnerabilities, combined with the approach to Fuzzy Cognitive Maps (FCMs), to identify the links between these elements. An evaluation using FCMs has proven to be able to describe the complexity of the system by providing an appropriate visual tool for staff to develop planning. The experimental results of the study contributed to supporting cybersecurity improvements in telehealth.

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

Access this chapter

Log in via an institution
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. Bernardes, A.C.F., Coimbra, L.C., Serra, H.O.: Use of Maranhão Telehealth Program as a tool to support continuing health education. Rev. Panam. Salud Pública 42, 1–9 (2018)

    Article  Google Scholar 

  2. Brazil: Telehealth Core Costs - Instruction Manual, National Telehealth Brazil Network Program. Ministry of Health (2015)

    Google Scholar 

  3. Kruse, C.S., Krowski, N., Rodriguez, B., Tran, L., Vela, J., Brooks, M.: Telehealth and patient satisfaction: a systematic review and narrative analysis. BMJ Open 7(8), 1–12 (2017)

    Article  Google Scholar 

  4. Ahmed, Y., Naqvi, S., Josephs, M.: Cybersecurity metrics for enhanced protection of healthcare IT systems. In: 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT), Oslo, Norway, pp 1–9 (2019)

    Google Scholar 

  5. KPMG: Health Care and Cyber Security: Increasing Threats Require Increased Capabilities, kpmg.com (2018)

    Google Scholar 

  6. Zhou, L., Thieret, R., Watzlaf, V., Dealmeida, D., Parmanto, B.: A telehealth privacy and security self-assessment questionnaire for telehealth providers: development and validation. Int. J. Telerehabilitation 11(1), 3–14 (2019)

    Article  Google Scholar 

  7. Arbelaez, A.: Securing Telehealth Remote Patient Monitoring Ecosystem Cybersecurity for the Healthcare Sector. National Institute of Standards and Technology (NIST), November 2018

    Google Scholar 

  8. de Gusmão, A.P.H., Silva, M.M., Poleto, T., e Silva, L.C., Costa, A.P.C.S.: Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory. Int. J. Inf. Manag. 43, 248–260 (2018)

    Article  Google Scholar 

  9. Montero-Canela, R., Zambrano-Serrano, E., Tamariz-Flores, E.I., Muñoz-Pacheco, J.M., Torrealba-Meléndez, R.: Fractional chaos based-cryptosystem for generating encryption keys in Ad Hoc networks. Ad Hoc Netw. 97, 102005 (2019)

    Article  Google Scholar 

  10. Andriole, K.P.: Security of electronic medical information and patient privacy: what you need to know. J. Am. Coll. Radiol. 11(12), 1212–1216 (2014)

    Article  Google Scholar 

  11. Nagasubramanian, G., Sakthivel, R.K., Patan, R., et al.: Securing e-health records using keyless signature infrastructure blockchain technology in the cloud. Neural Comput. Appl. 32, 639–647 (2020). https://doi.org/10.1007/s00521-018-3915-1

    Article  Google Scholar 

  12. Davidson, E., Simpson, C.R., Demiris, G., Sheikh, A., McKinstry, B.: Integrating telehealth care-generated data with the family practice electronic medical record: qualitative exploration of the views of primary care staff. Interact. J. Med. Res. 26, e29 (2013)

    Article  Google Scholar 

  13. Li, Y., Fuller, B., Stafford, T., Ellis, S.: Information securing in organizations: a dialectic perspective. In: SIGMIS-CPR 2019 – Proceedings of the 2019 Computer and People Research Conference, pp 125–130 (2019)

    Google Scholar 

  14. Jennett, P.A., Andruchuk, K.: Telehealth: ‘real life’ implementation issues. Comput. Methods Programs Biomed. 64(3), 169–174 (2001)

    Article  Google Scholar 

  15. Tweneboah-Koduah, S., Skouby, K.E., Tadayoni, R.: Cyber security threats to IoT applications and service domains. Wirel. Pers. Commun. 95(1), 169–185 (2017)

    Article  Google Scholar 

  16. Nesbitt, T.S., Cole, S.L., Pellegrino, L., Keast, P.: Rural outreach in home telehealth: assessing challenges and reviewing successes. Telemed. J. E Health 12, 2 (2006)

    Article  Google Scholar 

  17. Makhdoom, I., Abolhasan, M., Lipman, J., Liu, R.P., Ni, W.: Anatomy of threats to the internet of things. IEEE Commun. Surv. Tutor. 21(2), 1636–1675 (2019). Secondquarter

    Article  Google Scholar 

  18. Dondossola, G., Garrone, F., Szanto, J.: Cyber risk assessment of power control systems - a metrics weighed by attack experiments. In: IEEE Power and Energy Society General Meeting, pp 1–9 (2011)

    Google Scholar 

  19. Zheng,Y., Zhang, X.: Path sensitive static analysis of web applications for remote code execution vulnerability detection, In: Proceedings of the International Conference on Software Engineering, pp 652–661 (2013)

    Google Scholar 

  20. Rebollo, O., Mellado, D., Fernández-Medina, E.: A systematic review of information security governance frameworks in the cloud computing environment. J. Univers. Comput. Sci. 18(6), 798–815 (2012)

    Google Scholar 

  21. Raoof, A. Matrawy, A.: The effect of buffer management strategies on 6LoWPAN’s response to buffer reservation attacks. In: IEEE International Conference on Communication, pp 1–7 (2017)

    Google Scholar 

  22. Liu, M., Li, K., Chen, T.: Security testing of web applications: a search-based approach for detecting SQL injection vulnerabilities. In: Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion (GECCO 2019), pp 417–418 (2019)

    Google Scholar 

  23. Krishnan, S., Anjana, M.S., Rao, S.N.: Security considerations for IoT in smart buildings. In: IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2017), Coimbatore, pp. 1–4 (2017)

    Google Scholar 

  24. Iglesias, F., Zseby, T.: Analysis of network traffic features for anomaly detection. Mach. Learn. 101(1–3), 59–84 (2015)

    Article  MathSciNet  Google Scholar 

  25. Qin, F., Lu, S., Zhou, Y.: SafeMem: exploiting ECC-memory for detecting memory leaks and memory corruption during production runs. In: Proceedings of the International Symposium on High-Performance Computer Architecture, pp 291–302 (2005)

    Google Scholar 

  26. Falcarin, P., Scandariato, R., Baldi, M.: Remote trust with aspect-oriented programming. In: Proceedings of the International Conference on Advanced Information Networking and Applications (AINA 2006), vol. 1, pp 451–456 (2006)

    Google Scholar 

  27. Arjunkar, M.R., Sambare, A.S., Jain, S.R.: A survey on: detection & prevention of energy draining attacks (vampire attacks). Int. J. Comput. Sci. Appl. 8(1), 13–16 (2015)

    Google Scholar 

  28. Fournaris, A.P., Fraile, L.P., Koufopavlou, O.: Exploiting hardware vulnerabilities to attack embedded system devices: a survey of potent microarchitectural attacks. Electronics 6, 3 (2017)

    Article  Google Scholar 

  29. Kosko, B.: Fuzzy cognitive maps. Int. J. Man Mach. Stud. 24(1), 65–75 (1986)

    Article  Google Scholar 

  30. Stylios, C.D., Groumpos, P.P.: Fuzzy cognitive maps multi-model for complex. Manufact. Syst. 34, 8 (2001)

    Google Scholar 

  31. Papageorgiou, E.I., Hatwágner, M.F., Buruzs, A., Kóczy, L.T.: A concept reduction approach for fuzzy cognitive map models in decision making and management. Neurocomputing 232, 16–33 (2017)

    Article  Google Scholar 

  32. Papageorgiou, E.I., Subramanian, J., Karmegam, A., Papandrianos, N.: A risk management model for familial breast cancer: a new application using Fuzzy Cognitive Map method. Comput. Methods Programs Biomed. 122(2), 123–135 (2015)

    Article  Google Scholar 

  33. Chandrasekaran, A.D., Ramkumar, C., Siva E.P., Balaji, N.: Average maps model of super fuzzy cognitive to analyze middle class family problem. In: AIP Conference Proceedings, vol. 2112(1) (2019)

    Google Scholar 

  34. Mirghafoori, S.H., Sharifabadi, A.M., Takalo, S.K.: Development of causal model of sustainable hospital supply chain management using the intuitionistic fuzzy cognitive map (IFCM) method. J. Ind. Eng. Manag. 11(3), 588–605 (2018)

    Google Scholar 

  35. López, C., Ishizaka, A.: A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience. J. Bus. Res. 103(2017), 495–507 (2017)

    Google Scholar 

  36. Anninou, A.P., Groumpos, P.P., Polychronopoulos, P.: Modeling health diseases using competitive fuzzy cognitive maps. In: IFIP Advances in Information and Communication Technology (2013)

    Google Scholar 

  37. Karagiannis, I.E. Groumpos, P.P.: Modeling and analysis of a hybrid-energy system using fuzzy cognitive maps. In: 2013 21st Mediterranean Conference on Control and Automation (MED 2013) - Conference Proceedings (2013)

    Google Scholar 

Download references

Acknowledgments

This research was partially supported by a foundation affiliated with the Ministry of Education in Brazil, and the Brazilian National Research Council (CNPq). The authors would like to acknowledge PROPESP/UFPA.

Author information

Authors and Affiliations

  1. Universidade Federal Do Pará, Belém, Brazil

    Thiago Poleto, Rodrigo Cleiton Paiva de Oliveira & Ayara Letícia Bentes da Silva

  2. Universidade Federal Alagoas, Delmiro Gouveia, Brazil

    Victor Diogho Heuer de Carvalho

Authors
  1. Thiago Poleto
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rodrigo Cleiton Paiva de Oliveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ayara Letícia Bentes da Silva
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Victor Diogho Heuer de Carvalho
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thiago Poleto .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. FEUP, Universidade do Porto, Porto, Portugal

    Luís Paulo Reis

  4. DIMES, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  5. Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro

    Irena Orovic

  6. Universidade Portucalense, Porto, Portugal

    Fernando Moreira

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Poleto, T., de Oliveira, R.C.P., da Silva, A.L.B., de Carvalho, V.D.H. (2020). Using Fuzzy Cognitive Map Approach for Assessing Cybersecurity for Telehealth Scenario. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1160. Springer, Cham. https://doi.org/10.1007/978-3-030-45691-7_78

Download citation

Publish with us

Policies and ethics

Search

Navigation