Challenges and issues for Internet of Things (IoT): recent survey

The Internet of Things (IoT) is one of the most emerging and revolutionary technologies of this century.  The IoT is a network of dedicated devices called things deployed and used to collect, handle and exchange real-world data over the Internet or other networks.  Combined with automation systems, IoT devices can help manage, monitor, and alert users to the changes in their environment,  assist them to make smarter decisions, facilitate daily life, and contribute to the development of the economy and industry.  Nevertheless, the exponential growth of IoT equipment as well as the absence of common international standards leads to huge challenges, among which are security and performance.  Indeed, with an increasing number of devices, the old methods of managing connected devices become inappropriate, which creates security breaches.  Furthermore, the limited resources of IoT devices besides the nature of their network prevent the implementation of strong and sophisticated security measures on them.  As a result, IoT appliances are vulnerable and prone to many security threats and intrusions.  This paper presents an overview of IoT issues and challenges.  Also, it exhibits a deep analysis of the solutions proposed in the literature for these issues.  This assists to mark the concerns that still require to be handled, well outlines the mainstream of research direction, and clears the way for new avenues of research for forthcoming researchers.  Finally, we deliver a guide or support for scientists interested in the Internet of Things.

  1. Aqeel ur Rehman, Sadiq ur Rehman, Khan I. U., Moiz M., Hasan S.  Security and privacy issues in IoT.  International Journal of Communication Networks and Information Security.  8 (3), 147–157 (2016).
  2. Albishi S., Soh B., Ullah A., Algarni F.  Challenges and solutions for applications and technologies in the internet of things.  Procedia Computer Science.  124, 608–614 (2017).
  3. Transforma Insights.  Number of internet of things (iot) connected devices worldwide from 2019 to 2030, by vertical.  Statista (2022).
  4. Merzouk S., Gandoul R., Marzak A., Sael N.  Toward new data for IT and IoT projectmanagement method prediction.  Mathematical Modeling and Computing.  10 (2), 557–565 (2023).
  5. Yadav G., Singh D.  Internet of Things: A Comprehensive Survey.  Wireless Personal Communications.  120 (4), 4341–4383 (2021).
  6. Al-Fuqaha M. A., Guizani M., Mohammadi M., Aledhari M., Ayyash M.  A Comprehensive Survey on Internet of Things (IoT): Concepts, Security, and Applications.  IEEE Communications Surveys & Tutorials.  23 (3), 1846–1870 (2021).
  7. Purohit S. S., Palkar P. M.  A Comprehensive Survey on Security and Privacy of IoT Networks.  Journal of Network and Computer Applications.  189, 103054 (2022).
  8. Chiba Z., Abghour N., Moussaid K., Lifandali O., Kinta R.  A Deep Study of Novel Intrusion Detection Systems and Intrusion Prevention Systems for Internet of Things Networks.  Procedia Computer Science.  210, 94–103 (2022).
  9. Chiba Z., Abghour N., Moussaid K., Lifandali O., Kinta R.  Review of Recent Intrusion Detection Systems and Intrusion Prevention Systems in IoT Networks.  2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). 1–6 (2022).
  10. Gazis V., Goertz M., Huber M., Leonardi A., Mathioudakis K., Wiesmaier A., Zeiger F.  Vangelis Gazis Manuel Goertz Marco Huber Alessandro Leonardi.  IoT: Challenges, projects, architectures.  2015 18th International Conference on Intelligence in Next Generation Networks. 145–147 (2015).
  11. Bataineh M. R., Mardini W., Khamayseh Y. M., Yassein M. M. B.  Novel and Secure Blockchain Framework for Health Applications in IoT.  IEEE Access.  10, 14914–14926 (2022).
  12. Zhang H., Feng H., Hewage K., Arashpour M.  Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework.  Buildings.  12 (6), 829 (2022).
  13. Arumugam S., Subramanian A., Karuppiah M., Al-Jumaily A. M., Ramakrishnan S.  A Secure and Privacy-Preserving Internet of Things Framework for Healthcare Applications. IEEE Access.  9, 121527–121537 (2021).
  14. Chithaluru P., Stephan T., Kumar M., Nayyar A.  An enhanced energy-efficient fuzzy-based cognitive radio scheme for IoT.  Neural Computing and Applications.  34 (21), 19193–19215 (2022).
  15. Ahmed A., Abdullah S., Bukhsh M., Ahmad I., Mushtaq Z.  An Energy-Efficient Data Aggregation Mechanism for IoT Secured by Blockchain.  IEEE Access.  10, 11404–11419 (2022).
  16. Zhang X., Manogaran G., Muthu B.  IoT enabled integrated system for green energy into smart cities.  Sustainable Energy Technologies and Assessments.  46, 101208 (2021).
  17. Tipantuña C., Hesselbach X.  IoT-Enabled Proposal for Adaptive Self-Powered Renewable Energy Management in Home Systems.  IEEE Access.  9, 64808–64827 (2021).
  18. Shekari T., Cardenas A. A., Beyah R.  MaDIoT 2.0: Modern High-Wattage IoT Botnet Attacks and Defenses.  31st USENIX Security Symposium (USENIX Security 22). 3539–3556 (2022).
  19. Alsmirat M. A., Alenezi M.  Efficient Security Mechanism for Internet of Things Networks using Blockchain Technology.  International Journal of Advanced Computer Science and Applications.  12 (5), 182–189 (2021).
  20. De Souza C. A., Westphall C. B., Machado R. B.  Two-step ensemble approach for intrusion detection and identification in iot and fog computing environments.  Computers & Electrical Engineering.  98, 107694 (2022).
  21. Basati A., Faghih M. M.  PPDAE: Efficient network intrusion detection in IoT using parallel deep auto-encoders.  Information Sciences.  598, 57–74 (2022).
  22. Alkhateeb A. M., Alsahafi A. H., Alshamrani A. M., Almohammadi H. A.  Real-time performance optimization of IoT-based systems using machine learning techniques.  Sustainable Computing: Informatics and Systems.  32, 100588 (2023).
  23. Khalid M. H., Ahmad I., Javaid N., Imran M. A., Alrajeh N.  Performance Evaluation of LoRaWAN in IoT-based Industrial Automation.  IEEE Access.  10, 16138–16149 (2022).
  24. Hannah S., Deepa A. J., Chooralil V. S., Brilly Sangeetha S., Yuvaraj N., Raja R. A., Suresh C., Vignesh R., Yasir Abdullah R., Srihari K., Alene A.  Blockchain-Based Deep Learning to Process IoT Data Acquisition in Cognitive Data.  BioMed Research International.  2022, 5038851 (2022).
  25. Tace Y., Elfilali S., Tabaa M., Leghris C.  Implementation of smart irrigation using IoT and Artificial Intelligence.  Mathematical Modeling and Computing.  10 (2), 575–582 (2023).