Securing the Internet of Things in Artificial Intelligence Era: A Comprehensive Survey

Mamoona Humayun, Noshina Tariq, Majed Alfayad, Muhammad Zakwan, Ghadah Alwakid, Mohammed Assiri

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

Abstract

The Internet of Things (IoT) has revolutionized various domains, enabling interconnected devices to communicate and exchange data. The integration of Artificial Intelligence (AI) in IoT systems further enhances their capabilities and potential benefits. Unfortunately, in the era of AI, ensuring the privacy and security of the IoT faces novel and specific challenges. IoT security is imperative, necessitating comprehensive strategies, including comprehension of IoT security challenges, implementation of AI methodologies, adoption of resilient security frameworks, and handling of privacy and ethical concerns to construct dependable and secure IoT systems. It is vital to note that the term 'security' encompasses a more comprehensive view than cyberattacks alone. Therefore, with an emphasis on securing against cyberattacks, this comprehensive survey also includes physical security threats on the IoT. It investigates the complexities and solutions for IoT systems, placing particular emphasis on AI-based security techniques. The paper undertakes a categorization of the challenges associated with ensuring IoT security, investigates the utilization of AI in IoT security, presents security frameworks and strategies, underscores privacy and ethical considerations, and provides insights derived from practical case studies. Furthermore, the survey sheds light on emerging trends concerning IoT security in the AI era. This survey provides significant contributions to the understanding of establishing dependable and secure IoT systems through an exhaustive examination of the present condition of IoT security and the ramifications of AI on it.

Original languageEnglish
Pages (from-to)25469-25490
Number of pages22
JournalIEEE Access
Volume12
DOIs
StatePublished - 2024

Keywords

  • Artificial intelligence
  • Internet of Things
  • cyberattack
  • privacy
  • security

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