Evidence record 19461 · automatically gathered

The energetic cost of mitigating AI attacks in cellular networks

The integration of Artificial Intelligence (AI), generally as Machine Learning (ML) algorithms, in all levels and aspects of cellular networks demonstrates the success of data-driven algorithms; for example, the Radio Intelligence Controller (RIC) of the O-RAN paradigm bestows the network with optimised radio resource allocation, load balancing or energy efficiency functions, among others. Nevertheless, this dependency on data opens new security vulnerabilities, as attackers can alter data prope

Record details

Published: 12 August 2026
Source: arXiv cs.CR (AI security)
Category: Research
Topics: Environment
Retrieved: 14 August 2026

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ethics.ai (12 August 2026), “The energetic cost of mitigating AI attacks in cellular networks,” evidence record 19461, https://ethics.ai/record/19461 (originally published by arXiv cs.CR (AI security)).

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