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By: Bhupinder Singh.
Professor, Sharda School of Law, Sharda University, Greater Noida, Uttar Pradesh, India
In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive tasks and a disproportionately large quantity of data inefficiently. Edge and fog computing architectures, which are decentralized computing paradigms that move intelligence and processing closer to data sources, have developed more quickly because of this difficulty. However, the decentralization that gives these systems their strength also leads to several failure spots. An expanded attack surface in distributed sensor networks and edge settings makes it feasible for malicious behaviors, like data exfiltration, node compromise, impersonation or spoofing, and denial of service (DoS), to occur.
Cyber defense, privacy protocols, distributed sensor networks, cloud–fog ecosystems, AI
Citation:
Refrences:
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