With the rise of 5G and open radio access networks (O-RAN), there is a growing demand for customizable experimental platforms dedicated to security testing, as existing testbeds do not prioritize this area. Traditional, hardware-dependent testing methods pose challenges for smaller companies and research institutions. The growing wireless threat landscape highlights the critical need for proactive security testing, as 5G and O-RAN deployments are appealing targets for cybercriminals. To address these challenges, this article introduces the Soft Tester UE (soft T-UE), a software-defined test equipment designed to evaluate the security of 5G and O-RAN deployments via the Uu air interface between the user equipment (UE) and the network. The outcome is to deliver a free, open-source, and expandable test instrument to address the need for both standardized and customizable automated security testing. By extending beyond traditional security metrics, the soft T-UE promotes the development of new security measures and enhances the capability to anticipate and mitigate potential security breaches. The tool's automated testing capabilities are demonstrated through a scenario where the Radio Access Network (RAN) under test is evaluated when it receives fuzzed data when initiating a connection with an UE.
我们在标准（对称）随机响应机制（Warner，1965，Kasiviswanathan et al，2008）和较新的（非对称）机制（Basily和Smith，2015，Basily et al，2017）下启动了局部模型中差异私有假设检验的研究。首先，我们研究的一般框架，每个用户的类型映射到一个信号，并表明，在信号的最大似然分布的问题是可行的。然后，我们讨论的随机响应机制，并表明，在本质上，它映射到新的集合，仿射翻译的原始集合的零假设和替代假设。然后，我们给出了随机响应下的身份和独立性测试的样本复杂性界。然后，我们移动到较新的非对称机制，并表明，也有问题的最大似然分布是可行的。在Basily等人（2007）的机制下，我们给出了比对称情况下的测试者具有更好的样本复杂度的身份和独立性测试者，并提出了一个基于$χ^2$的身份测试者，并进行了实证研究。
