Skip to main content
View expanded cover

ITNG 2021 18th International Conference on Information Technology-New Generations pp 427–434Cite as

Disruptive Technologies for Disruptive Innovations: Challenges and Opportunities

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1346)

Abstract

Disruptive technologies continuously and significantly alter the way people communicate and collaborate as well as the way industries operate today and in the future. To create new business models and opportunities, several combinations of disruptive technologies are being introduced nowadays. Among these technologies, cloud computing, IoT, Blockchain, artificial intelligence, social networks and media, big data, and 5G are mostly used. For instance, Blockchain technology made distributed solutions feasible and popular. On the other hand, big data and the social media are two contemporary technologies which lament significant impact on business and society. This paper presents a holistic approach to integration perspectives of these technologies considering many challenges like security and privacy. This paper also surveys the most relevant work in order to analyze how some of these technologies could potentially improve each other.

Keywords

  • Cloud computing
  • Social media
  • IoT
  • Blockchain
  • AI
  • Services
  • Next generation networks

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-70416-2_55
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   189.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-70416-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   249.99
Price excludes VAT (USA)
Hardcover Book
USD   249.99
Price excludes VAT (USA)
Learn about institutional subscriptions
Fig. 55.1
Fig. 55.2
Fig. 55.3
Fig. 55.4
Fig. 55.5

References

  1. S. Nižetić, P. Šolić, D. López-de-Ipiña González-de, L. Patrono et al., Internet of things (IoT): opportunities, issues and challenges towards a smart and sustainable future. J. Clean. Prod. 274, 122877 (2020)

    CrossRef  Google Scholar 

  2. J. Manyika, M. Chui, J. Bughin, R. Dobbs, P. Bisson, A. Marrs, Disruptive Technologies: Advances that will Transform Life, Business, and the Global Economy, vol. 180 (McKinsey Global Institute, San Francisco, CA, 2013)

    Google Scholar 

  3. T. Kolajo, O. Daramola, A. Adebiyi, Big data stream analysis: a systematic literature review. J. Big Data 6(1), 47 (2019)

    Google Scholar 

  4. G. Aceto, V. Persico, A. Pescapé, Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. J. Ind. Inf. Integr. 18, 100129 (2020)

    Google Scholar 

  5. Z. Zheng, S. Xie, H. Dai, X. Chen, H. Wang, An overview of blockchain technology: architecture, consensus, and future trends, in 2017 IEEE International Congress on Big Data (BigData Congress) (IEEE, New York, 2017), pp. 557–564

    CrossRef  Google Scholar 

  6. Gartner LLC, The Gartner Hype Cycle for Emerging Technologies. https://www.gartner.com/. Accessed 12 December 2020

  7. K. Panetta, Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017, Gartner, Stamford (2017)

    Google Scholar 

  8. J.N. Al-Karaki, A. Gawanmeh, Security and privacy challenges of integrated disruptive technologies, in 2019 2nd International Conference on Signal Processing and Information Security (ICSPIS) (IEEE, New York, 2019), pp. 1–4

    Google Scholar 

  9. G. Guo, Y. Zhu, R. Yu, W. Cheng-Chung Chu, D. Ma, A privacy-preserving framework with self-governance and permission delegation in online social networks. IEEE Access 8, 157116–157129 (2020)

    CrossRef  Google Scholar 

  10. D. Pavithran, K. Shaalan, J.N. Al-Karaki, A. Gawanmeh, Towards building a blockchain framework for IoT. Cluster Computing 23(09), 1–15 (2020)

    Google Scholar 

  11. P. Matta, B. Pant, Internet of things: genesis, challenges and applications. J. Eng. Sci. Technol. 14(3), 1717–1750 (2019)

    Google Scholar 

  12. S Balaji, K. Nathani, R. Santhakumar, IoT technology, applications and challenges: a contemporary survey. Wirel. Person. Commun. 108(1), 363–388 (2019)

    Google Scholar 

  13. S.K. Madria, Sensor cloud: a cloud of sensor networks, in 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (IEEE, New York, 2017), pp. 2660–2661

    Google Scholar 

  14. M. Fazio, A. Puliafito, Cloud4sens: a cloud-based architecture for sensor controlling and monitoring. IEEE Commun. Mag. 53(3), 41–47 (2015)

    CrossRef  Google Scholar 

  15. T. Wang, H. Luo, W. Jia, A. Liu, M. Xie, MTES: an intelligent trust evaluation scheme in sensor-cloud-enabled industrial internet of things. IEEE Trans. Ind. Inf. 16(3), 2054–2062 (2019)

    CrossRef  Google Scholar 

  16. T. Ojha, S. Misra, N.S. Raghuwanshi, H. Poddar, DVSP: dynamic virtual sensor provisioning in sensor–cloud-based internet of things. IEEE Internet Things J. 6(3), 5265–5272 (2019)

    CrossRef  Google Scholar 

  17. T. Luo, J. Huang, S.S. Kanhere, J. Zhang, S.K. Das, Improving IoT data quality in mobile crowd sensing: a cross validation approach. IEEE Internet Things J. 6(3), 5651–5664 (2019)

    CrossRef  Google Scholar 

  18. V. Gelardi, J. Godard, D. Paleressompoulle, N. Claidière, A. Barrat, Measuring social networks in primates: wearable sensors versus direct observations. Proc. R. Soc. A 476(2236), 20190737 (2020)

    Google Scholar 

  19. P. Bellavista, D. Belli, S. Chessa, L. Foschini, A social-driven edge computing architecture for mobile crowd sensing management. IEEE Commun. Mag. 57(4), 68–73 (2019)

    CrossRef  Google Scholar 

  20. S. Beitelspacher, M. Mubashir, K.M. Besher, M.Z. Ali, Prioritizing health care data traffic in a congested IoT cloud network, in 2020 IEEE Wireless Communications and Networking Conference Workshops (IEEE, New York, 2020), pp. 1–6

    Google Scholar 

  21. J.N. Al-Karaki, A. Gawanmeh, M. Ayache, A. Mashaleh, DASS-CARE: a decentralized, accessible, scalable, and secure healthcare framework using blockchain, in 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) (IEEE, New York, 2019), pp. 330–335

    Google Scholar 

  22. T.M. Anand, K. Banupriya, M. Deebika, A. Anusiya, Intelligent transportation systems using iot service for vehicular data cloud. Int. J. Innov. Res. Sci. Technol. 2(2), 80–86 (2015)

    Google Scholar 

  23. G. Xu, M. Li, L. Luo, C.-H. Chen, G.Q. Huang, Cloud-based fleet management for prefabrication transportation. Enterprise Inf. Syst. 13(1), 87–106 (2019)

    CrossRef  Google Scholar 

  24. Z. Lv, B. Hu, H. Lv, Infrastructure monitoring and operation for smart cities based on IoT system. IEEE Trans. Ind. Inf. 16(3), 1957–1962 (2019)

    CrossRef  Google Scholar 

  25. D. Anderson, T. Gkountouvas, M. Meng, K. Birman, A. Bose, C. Hauser, E. Litvinov, X. Luo, Q. Zhang, Gridcloud: infrastructure for cloud-based wide area monitoring of bulk electric power grids. IEEE Trans. Smart Grid 10(2), 2170–2179 (2018)

    CrossRef  Google Scholar 

  26. S. Corbellini, E.D. Francia, S. Grassini, L. Iannucci, L. Lombardo, M. Parvis, Cloud based sensor network for environmental monitoring. Measurement 118, 354–361 (2018)

    CrossRef  Google Scholar 

  27. M.S. Kamal, S. Parvin, K. Saleem, H. Al-Hamadi, A. Gawanmeh, Efficient low cost supervisory system for internet of things enabled smart home, in 2017 IEEE International Conference on Communications Workshops (ICC Workshops) (IEEE, New York, 2017), pp. 864–869

    CrossRef  Google Scholar 

  28. A.U. Rehman, R.A. Naqvi, A. Rehman, A. Paul, M. Tariq Sadiq, D. Hussain, A trustworthy siot aware mechanism as an enabler for citizen services in smart cities. Electronics 9(6), 918 (2020)

    Google Scholar 

  29. Y. Liu, X. Xu, Industry 4.0 and cloud manufacturing: a comparative analysis. J. Manuf. Sci. Eng. 139(3), 034701-1–8 (2017)

    Google Scholar 

  30. J. Lloret, J. Tomas, A. Canovas, L. Parra, An integrated IoT architecture for smart metering. IEEE Commun. Mag. 54(12), 50–57 (2016)

    CrossRef  Google Scholar 

  31. J.L. Stănică, G. Căruţaşu, A. Pîrjan, C. Coculescu, IoT cloud solution for efficient electricity consumption. J. Inf. Syst. Oper. Manage. 12(1), 45–57 (2018)

    Google Scholar 

  32. S. Parvin, S. Venkatraman, T. de Souza-Daw, K. Fahd, J. Jackson, S. Kaspi, N. Cooley, K. Saleem, A. Gawanmeh, Smart food security system using iot and big data analytics. in 16th International Conference on Information Technology-New Generations (Springer, New York, 2019), pp. 253–258

    Google Scholar 

  33. N.M. Imran, M. Won, Reducing operation cost of lpwan roadside sensors using cross technology communication. Preprint. arXiv: 2009.12471 (2020)

    Google Scholar 

  34. Z. Xu, Y. Liu, N. Yen, L. Mei, X. Luo, X. Wei, C. Hu, Crowdsourcing based description of urban emergency events using social media big data. IEEE Trans. Cloud Comput. 99, 1 (2016)

    Google Scholar 

  35. C. Arbib, D. Arcelli, J. Dugdale, M. Moghaddam, H. Muccini, Real-time emergency response through performant IoT architectures, in International Conference on Information Systems for Crisis Response and Management (ISCRAM), May 2019, Valencia (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, College of Engineering and IT, University of Dubai, Dubai, UAE

    Amjad Gawanmeh

  2. Computer Information Science, Higher Colleges of Technology, Dubai, UAE

    Jamal N. Al-Karaki

Authors
  1. Amjad Gawanmeh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jamal N. Al-Karaki
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Amjad Gawanmeh .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, NV, USA

    Dr. Shahram Latifi

Rights and permissions

Reprints and Permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Gawanmeh, A., Al-Karaki, J.N. (2021). Disruptive Technologies for Disruptive Innovations: Challenges and Opportunities. In: Latifi, S. (eds) ITNG 2021 18th International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing, vol 1346. Springer, Cham. https://doi.org/10.1007/978-3-030-70416-2_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-70416-2_55

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70415-5

  • Online ISBN: 978-3-030-70416-2

  • eBook Packages: EngineeringEngineering (R0)