Enhancing IoT Security and Services based on Generative Artificial Intelligence Techniques: A Systematic Analysis based on Emerging Threats, Challenges and future Directions

Authors

  • Israr Ahmad Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore, 54000, Pakistan
  • Fawad Nasim Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore, 54000, Pakistan
  • Syed khawar Hussain Shah Department of Computer Engineering, Bahria University, Islamabad, Pakistan
  • Muhammad Furqan Khawaja Bahria University Lahore Campus
  • Syed Asad Ali Naqvi Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore, 54000, Pakistan
  • Hamayun Khan Department of Computer Science, Faculty of Computer Science & IT Superior University Lahore

Abstract

The influence of AI in our society is becoming important due to the possibility of carrying out analysis of the large amount of data that the increasing number of interconnected devices capture and send as well as making autonomous and instant decisions from the information that machines are now able to extract, saving time and efforts in some determined tasks, specially in the cyberspace. The Internet of Things (IoT) is a technology with exponential growth in different applications such as transportation, healthcare, and manufacturing. It is expected to add 20 billion IoT devices globally by the end of 2025. IoT devices are important in monitoring machines' conditions and improving operational processes. However, these devices also have a vast surface of cyberattacks due to insufficient authentication methods, vulnerabilities in their firmware, and the lack of standardization. Integrating Artificial Intelligence (AI) in IoT systems further enhances their operational capabilities and potential benefits. Various Artificial Intelligence (AI) techniques have been adopted to optimize the efficiency of IoT applications, leading to a new computing paradigm, like Generative AI. The capability of Generative Artificial Intelligence to generate content and to autonomously learn and predict situations can be beneficial for making decisions automatically significantly enhancing the security of IoT systems. In this review article we provide an overview of Generative Artificial Intelligence-based existing solutions for the very diverse set of security issues in IoT environments and to try to anticipate future research.

Keywords: Artificial Intelligence, Cybersecurity, Internet of Things, Cyberattack, IoT Security

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Published

2025-01-23

How to Cite

Israr Ahmad, Fawad Nasim, Syed khawar Hussain Shah, Muhammad Furqan Khawaja, Syed Asad Ali Naqvi, & Hamayun Khan. (2025). Enhancing IoT Security and Services based on Generative Artificial Intelligence Techniques: A Systematic Analysis based on Emerging Threats, Challenges and future Directions. Spectrum of Engineering Sciences, 3(2), 1–25. Retrieved from https://sesjournal.com/index.php/1/article/view/129