Toward Pervasive Intelligence Systems: Looking Ahead in Cyber-‎physical World in Pervasive Computing

  • Authors

    • S.V. Manikanthan Melange Academic Research Associates, Puducherry, India
    • Dr. L. R. Aravind Babu Department of Computer Science and Information Science, Annamalai University, Annamalai Nagar, Tamil Nadu, India
    • Dr. Anu Priya George Associate Faculty, Demont Institute of Management and Technology, Dubai, UAE
    • Dr.P.S.G.Aruna Sri Professor, Department of Internet of Things, Koneru Lakshmaiah Education Foundation, Vaddeswaram
    • M. Venkatesan Assistant Professor, Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai
    https://doi.org/10.14419/s5wzx363

    Received date: May 6, 2025

    Accepted date: May 18, 2025

    Published date: June 10, 2025

  • Cyber-Physical World (CPW); Cyber Threats; Communication; Pervasive Computing; Bid Data
  • Abstract

    The physical world is becoming filled with communication and computing units that communicate with one another and users; almost ‎everything will be able to gather data and react to relevant stimuli. Through sensing, computing, and transmission components, real-world ‎elements interact with cyberspace in this technologically advanced situation, leading to the so-called convergence of the Cyber-Physical ‎World (CPW). However, the ubiquitous computing environment and IoT devices are susceptible to various threats due to their dynamic ‎operation and the requirement to manage private and sensitive data. A high degree of safety guarantee is necessary for smart environments, ‎such as trusted context producers and consumers, which should shield private data from exposure or surveillance. A unique, lightweight ‎security architecture that authenticates and preserves the context of providers and receivers is proposed in the research, along with a discussion ‎of the primary cyber threats in smart environments. Several recent research studies have proposed a definition of CPS that encompasses all ‎the characteristics mentioned in the various domains. We contrast those several CPS plans, talk about some related concepts and technology, ‎and wrap up by outlining the primary research issues in the field.

  • References

    1. Conti, M., Das, S. K., Bisdikian, C., Kumar, M., Ni, L. M., Passarella, A., ... & Zambonelli, F. (2012). Looking ahead in pervasive computing: Chal-lenges and opportunities in the era of cyber–physical convergence. Pervasive and mobile computing, 8(1), 2-21. https://doi.org/10.1016/j.pmcj.2011.10.001.
    2. Ahmed, S. H., Kim, G., & Kim, D. (2013). Cyber Physical System: Architecture, applications and research challenges. 2013 IFIP Wireless Days (WD), 1-5. https://doi.org/10.1109/WD.2013.6686528.
    3. Ma, M., Lin, W., Pan, D., Lin, Y., Wang, P., Zhou, Y., & Liang, X. (2018). Data and decision intelligence for human-in-the-loop cyber-physical systems: reference model, recent progresses and challenges. Journal of Signal Processing Systems, 90, 1167-1178. https://doi.org/10.1007/s11265-017-1304-0.
    4. Ning, H., Liu, H., Ma, J., Yang, L. T., & Huang, R. (2016). Cybermatics: Cyber–physical–social–thinking hyperspace based science and technology. Future generation computer systems, 56, 504-522. https://doi.org/10.1016/j.future.2015.07.012.
    5. Karnouskos, S. (2011, July). Cyber-physical systems in the smartgrid. In 2011 9th IEEE international conference on industrial informatics (pp. 20-23). IEEE. https://doi.org/10.1109/INDIN.2011.6034829.
    6. Horváth, I., & Vroom, R. W. (2015). Ubiquitous computer aided design: A broken promise or a Sleeping Beauty?. Computer-Aided Design, 59, 161-175. https://doi.org/10.1016/j.cad.2014.10.006.
    7. Noor, A. K. (2011). Intelligent adaptive cyber-physical ecosystem for aerospace engineering education, training, and accelerated workforce devel-opment. Journal of Aerospace Engineering, 24(4), 403-408. https://doi.org/10.1061/(ASCE)AS.1943-5525.0000128.
    8. Kant, V. (2016). Cyber-physical systems as sociotechnical systems: a view towards human–technology interaction. Cyber-Physical Systems, 2(1-4), 75-109. https://doi.org/10.1080/23335777.2017.1289983.
    9. Babiceanu, R. F., & Seker, R. (2016). Big Data and virtualization for manufacturing cyber-physical systems: A survey of the current status and fu-ture outlook. Computers in industry, 81, 128-137. https://doi.org/10.1016/j.compind.2016.02.004.
    10. Cook, D. J., & Das, S. K. (2012). Pervasive computing at scale: Transforming the state of the art. Pervasive and Mobile Computing, 8(1), 22-35. https://doi.org/10.1016/j.pmcj.2011.10.004.
    11. Vuong, T. P., Loukas, G., & Gan, D. (2015, October). Performance evaluation of cyber-physical intrusion detection on a robotic vehicle. In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (pp. 2106-2113). IEEE. https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.313.
    12. Moldovan, D., Copil, G., & Dustdar, S. (2018). Elastic systems: Towards cyber-physical ecosystems of people, processes, and things. Computer Standards & Interfaces, 57, 76-82. https://doi.org/10.1016/j.csi.2017.04.002.
    13. Cheng, Y., Zhang, Y., Ji, P., Xu, W., Zhou, Z., & Tao, F. (2018). Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey. The International Journal of Advanced Manufacturing Technology, 97, 1209-1221. https://doi.org/10.1007/s00170-018-2001-2.
    14. Parnianifard, A., Jearavongtakul, S., Sasithong, P., Sinpan, N., Poomrittigul, S., Bajpai, A., ... & Wuttisittikulkij, L. (2022). Digital-twins towards cyber-physical systems: a brief survey. Engineering Journal, 26(9), 47-61. https://doi.org/10.4186/ej.2022.26.9.47.
    15. Attkan, A., & Ranga, V. (2022). Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelli-gence based key-security. Complex & Intelligent Systems, 8(4), 3559-3591. https://doi.org/10.1007/s40747-022-00667-z.
  • Downloads

  • How to Cite

    Manikanthan, S., Babu , D. L. R. A. ., George, D. A. P. ., Sri, D. ., & Venkatesan, M. (2025). Toward Pervasive Intelligence Systems: Looking Ahead in Cyber-‎physical World in Pervasive Computing. International Journal of Basic and Applied Sciences, 14(2), 119-124. https://doi.org/10.14419/s5wzx363