IntelliGuard: Protecting IoT from AI-driven Cyber Attacks

Rashmi Pandey, Ayush Sharma, Devansh Kulshrestha, Devraj Singh Tomar and Dhwaj Sharma

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 3, 389-397

Abstract: AI is the science and engineering concerned with the computational understanding of intelligent behaviour and the creation of intelligent machines. The Internet of Things (IoT) describes the network of physical objects— “things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. This paper explores the relationship between Artificial Intelligence (AI) and the Internet of Things (IoT), and the role of AI in securing IoT devices. The paper defines AI as the science of creating intelligent machines that can perform tasks that require human intelligence, while IoT is a network of physical objects embedded with sensors, software, and other technologies that can communicate and exchange data with other devices and systems over the internet. The paper discusses how AI can extract meaningful patterns from the data generated by IoT devices and make decisions based on that data, leading to new and innovative solutions that can improve people's lives and transform industries. The paper also emphasizes the vulnerability of IoT devices to cyberattacks and highlights the importance of AI approaches, such as machine learning, support vec0tor machines, and neural networks, in identifying threats and potential attacks. Overall, this paper concludes that AI plays a crucial role in securing IoT devices and enabling the IoT to reach its full potential.

Keywords: Internet of things; IOT; Artificial Intelligence; Cyber Attacks; Security (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390388
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Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v9:y2023:i3:id:hcseit2390388

DOI: 10.32628/CSEIT2390388

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