Abstract
The pervasive integration of the Cognitive Internet of Things (CIoT) in advanced communication systems has significantly heightened security concerns due to inherent vulnerabilities that cyber attackers exploit. These security challenges are exacerbated by IoT devices’ limited computational resources and storage capacities, rendering traditional security protocols ineffective. This paper introduces a AI- based security model tailored explicitly for IoT environments within advanced communication systems. Our approach leverages AI techniques for cyber attack detection and mitigation. The effectiveness of our model is demonstrated through its capability to identify different types of cyberattacks with a precision of more than 99%. This study advances the security mechanisms for IoT devices and offers a scalable and efficient solution to safeguard user privacy and system integrity in sophisticated communication networks.
| Original language | English |
|---|---|
| Pages (from-to) | 351-359 |
| Number of pages | 9 |
| Journal | International Journal of Cognitive Computing in Engineering |
| Volume | 6 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Keywords
- Artificial Intelligence
- Cognitive Internet of Things
- Communication systems
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