December 2025
Intermediate to advanced
656 pages
16h 47m
English
Content preview from Edge Artificial Intelligence
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9Edge AI in Cybersecurity
Vaishali V. Bodade1*, Jyoti More2, Suraj Khandare1 and Supriya Joshi1
1Department of Information Technology, Fr. C. Rodrigues Institute of Technology, Vashi, Navi Mumbai, India
2Department of Computer Engineering, Fr. C. Rodrigues Institute of Technology, Vashi, Navi Mumbai, India
Abstract
Edge Artificial Intelligence (Edge AI) has emerged as a transformative technology in cybersecurity, enabling real-time threat detection and response by processing data locally at the network’s edge. By carrying out calculations closer to the data source, Edge AI, in contrast to conventional centralized systems, decreases latency, improves data privacy, and uses less bandwidth. These characteristics are essential for reducing the quickly changing cybersecurity risks brought on by the growing number of Internet of Things (IoT) ecosystem devices. Without depending on cloud connectivity, Edge AI can enforce security regulations, spot criminal activity, and detect anomalies by utilizing machine learning techniques. Additionally, the decentralized nature of Edge AI enhances resilience against Distributed Denial of Service (DDoS) attacks and network outages. Despite its advantages, there are drawbacks to using Edge AI in cybersecurity, including the requirement for reliable model upgrades to combat new threats and computational and energy limits. Hardware developments like dedicated AI accelerators and federated learning strategies could help get around these challenges. ...
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