Author
Listed:
- Rashmi Pandey
- Ayush Sharma
- Devansh Kulshrestha
- Devraj Singh Tomar
- Dhwaj Sharma
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.
Suggested Citation
Rashmi Pandey & Ayush Sharma & Devansh Kulshrestha & Devraj Singh Tomar & Dhwaj Sharma, 2023.
"IntelliGuard: Protecting IoT from AI-driven Cyber Attacks,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 9(3), pages 389-397, June.
Handle:
RePEc:jbh:ijsrcs:v9:y2023:i3:id:hcseit2390388
DOI: 10.32628/CSEIT2390388
Note: Article URL: https://ijsrcseit.com/CSEIT2390388
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v9:y2023:i3:id:hcseit2390388. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.