论文列表
1 ·关键词:gsmsniffing-attacksaes-256encryptionmachine-learningsecurity-vulnerabilities
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Evaluation of AES-256 encryption and machine learning for securing GSM communications against sniffing attacks
发表于 2025 来源 Egyptian Informatics Journal DOI 10.1016/j.eij.2025.100832
作者
Zaid Ali Hussein,Omer Abdulhaleem Naser
摘要
GSM (Global System for Mobile Communications) networks are becoming exposed to security attacks more frequently because of their inefficient encryptio 更多..