Skip to main content
SpringerLink
Log in

Ensuring Cybersecurity While Leveraging Social Media as a Data Source for Internet of Things Applications

  • Conference paper
  • First Online:
Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23) (ACR 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 700))

Included in the following conference series:

Abstract

Social media and the Internet of Things (IoT) have revolutionized the way we communicate and access information. However, the integration of these technologies also poses significant cybersecurity risks. This paper explores the challenges of using social media data in IoT applications and proposes strategies to ensure the protection of sensitive information. The aim is to strike a balance between leveraging the benefits of social media data and ensuring that adequate measures are taken to secure this information. The authors outline the importance of using secure data-sharing protocols, implementing data privacy policies, and conducting regular security audits to minimize the risk of cyberattacks. In this study, we compared the performance of four popular classifier models: Multinomial Naive Bayes, Bernoulli Naive Bayes, Gaussian Naive Bayes, and Logistic Regression, on a dataset of news articles. Our results showed that the best model for fake news prediction was Logistic Regression, achieving an accuracy of 0.99%. This research provides a promising solution for the automated detection of fake news, which could potentially be used in real-world applications to combat the spread of misinformation.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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

Similar content being viewed by others

References

  1. Shammar, E.A., Zahary, A.T.: The Internet of Things (IoT): a survey of techniques, operating systems, and trends. Library Hi Tech. 38(1), 5–66 (2020). https://doi.org/10.1108/LHT-12-2018-0200

    Article  Google Scholar 

  2. Malekshahi Rad, M., Rahmani, A.M., Sahafi, A., Nasih Qader, N.: Social Internet of Things: vision, challenges, and trends. Hum.-Centric Comput. Inf. Sci. 10(1), 52 (2020). https://doi.org/10.1186/s13673-020-00254-6

  3. Tyagi, V., Kumar, A.: Internet of Things and social networks: a survey. In: 2017 International Conference on Computing, Communication and Automation (ICCCA), pp. 1268–1270 (2017)

    Google Scholar 

  4. Zimba, O., Gasparyan, A.Y.: Social media platforms: a primer for researchers. Reumatologia/Rheumatology 59(2), 68–72 (2021)

    Article  Google Scholar 

  5. Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a social network or a news media? In: Proceedings of the 19th International Conference on World Wide Web, pp. 591–600 (2010)

    Google Scholar 

  6. Sun, Y., Song, H., Jara, A.J., Bie, R.: Internet of Things and big data analytics for smart and connected communities. IEEE Access 4, 766–773 (2016)

    Article  Google Scholar 

  7. Shu, K., Sliva, A., Wang, S., Tang, J., Liu, H.: Fake news detection on social media: a data mining perspective. ACM SIGKDD Explor. Newsl. 19(1), 22–36 (2017)

    Article  Google Scholar 

  8. Tummula, M., Saha, S.: A structure-adaptive protocol for efficient data-sharing in IoT. In: 2022 18th International Conference on Network and Service Management (CNSM), pp. 100–108 (2022)

    Google Scholar 

  9. Rubí, J.N.S., de Lira Gondim, P.R.: IoT‐based platform for environment data sharing in smart cities. Int. J. Commun. Syst. 34(2), e4515 (2021)

    Google Scholar 

  10. El Rahman, S.A., AlOtaibi, F.A., AlShehri, W.A.: Sentiment analysis of twitter data. In: 2019 International Conference on Computer and Information Sciences (ICCIS), pp. 1–4 (2019)

    Google Scholar 

  11. Borgatti, S.P., Everett, M.G., Johnson, J.C.: Analyzing Social Networks. Sage (2018)

    Google Scholar 

  12. Knoke, D., Yang, S.: Social Network Analysis. SAGE Publications (2019)

    Google Scholar 

  13. Edwards, R.D., Magee, J., Bassetti, W.C.: Technical Analysis of Stock Trends. CRC Press, Boca Raton (2018)

    Book  Google Scholar 

  14. Ambler, T.: Social media analytics. Int. J. Advert. 30(5), 918–919 (2011). https://doi.org/10.2501/IJA-30-5-918-919

    Article  Google Scholar 

  15. Chen, S., Lin, L., Yuan, X.: Social media visual analytics. Comput. Graph. Forum 36(3), 563–587 (2017)

    Article  Google Scholar 

  16. Ghani, N.A., Hamid, S., Hashem, I.A.T., Ahmed, E.: Social media big data analytics: a survey. Comput. Human Behav. 101, 417–428 (2019)

    Article  Google Scholar 

  17. Kopetz, H., Steiner, W.: Internet of Things. In: Real-Time Systems, pp. 325–341. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-11992-7_13

  18. Greengard, S.: The Internet of Things. MIT Press, Cambridge (2021)

    Google Scholar 

  19. Ray, P.P.: A survey on Internet of Things architectures. J. King Saud Univ. Comp. Info. Sci. 30(3), 291–319 (2018)

    Google Scholar 

  20. DeNardis, L.: The Internet in Everything. Yale University Press, London (2020)

    Book  Google Scholar 

  21. Lueth, K.L.: State of the IoT 2020: 12 billion IoT connections, surpassing non-IoT for the first time. IoT-Analytics (2020). https://iot-analytics.com/state-of-the-iot-2020-12-billion-iot-connections-surpassing-non-iot-for-the-first-time/. Accessed 13 Feb 2023

  22. Technology, Smart Cities Market Size, Share & Trends Analysis Report by Application, by Smart Governance, by Smart Utilities, by Smart Transportation, by Region, and Segment Forecasts, 2023–2030 (2021). https://www.grandviewresearch.com/industry-analysis/smart-cities-market. Accessed 13 Feb 2023

  23. Söderström, O., Paasche, T., Klauser, F.: Smart cities as corporate storytelling. In: The Routledge Companion to Smart Cities, Routledge, pp. 283–300 (2020)

    Google Scholar 

  24. Okai, E., Feng, X., Sant, P.: Smart cities survey. In: 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pp. 1726–1730 (2018)

    Google Scholar 

  25. Kadhim, K.T., Alsahlany, A.M., Wadi, S.M., Kadhum, H.T.: An overview of patient’s health status monitoring system based on internet of things (IoT). Wirel. Pers. Commun. 114(3), 2235–2262 (2020)

    Article  Google Scholar 

  26. Roopa, M.S., Pattar, S., Buyya, R., Venugopal, K.R., Iyengar, S.S., Patnaik, L.M.: Social Internet of Things (SIoT): foundations, thrust areas, systematic review and future directions. Comput. Commun. 139, 32–57 (2019)

    Article  Google Scholar 

  27. Gupta, B.B., Quamara, M.: An overview of Internet of Things (IoT): architectural aspects, challenges, and protocols. Concurr. Comput. Pract. Exp. 32(21), e4946 (2020)

    Article  Google Scholar 

  28. andrewdeen14: 3 ways IoT is changing social media (2018). https://iot.do/iot-changing-social-media-2018-07. Accessed 13 Feb 2023

Download references

Author information

Authors and Affiliations

  1. Faculty of Science and IT, Al-Zaytoonah University of Jordan, Amman, Jordan

    Samar Hendawi & Shadi AlZu’bi

  2. Department of Information Technology, The Hashemite University, Amman, Jordan

    Ala Mughaid

  3. Department of Agricultural Systems Engineering, King Faisal University, Al Hofuf, Saudi Arabia

    Nayef Alqahtani

Authors
  1. Samar Hendawi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shadi AlZu’bi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ala Mughaid
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nayef Alqahtani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shadi AlZu’bi .

Editor information

Editors and Affiliations

  1. University of Detroit Mercy, Detroit, MI, USA

    Kevin Daimi

  2. Charles Sturt University, Sydney, NSW, Australia

    Abeer Al Sadoon

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Hendawi, S., AlZu’bi, S., Mughaid, A., Alqahtani, N. (2023). Ensuring Cybersecurity While Leveraging Social Media as a Data Source for Internet of Things Applications. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the 2023 International Conference on Advances in Computing Research (ACR’23). ACR 2023. Lecture Notes in Networks and Systems, vol 700. Springer, Cham. https://doi.org/10.1007/978-3-031-33743-7_47

Download citation

Publish with us

Policies and ethics

Search

Navigation