Security attacks at the physical layer, in the form of radio jamming for denial of service, are an increasing threat in the Industry 4.0 scenarios. In this paper, we consider the problem of jamming detection in 5G-and-beyond communication systems and propose a defense mechanism based on pseudo-random blanking of subcarriers with orthogonal frequency division multiplexing (OFDM). We then design a detector by applying the generalized likelihood ratio test (GLRT) on those subcarriers. We finally evaluate the performance of the proposed technique against a smart jammer, which is pursuing one of the following objectives: maximize stealthiness, minimize spectral efficiency (SE) with mobile broadband (MBB) type of traffic, and maximize block error rate (BLER) with ultra-reliable low-latency communications (URLLC). Numerical results show that a smart jammer a) needs to compromise between missed detection (MD) probability and SE reduction with MBB and b) can achieve low detectability and high system performance degradation with URLLC only if it has sufficiently high power.

翻译：以拒绝服务无线电干扰的形式对物理层进行安全攻击,是工业4.0设想的一种日益严重的威胁。在本文件中,我们考虑了5G和偏差通信系统中干扰探测的问题,并提议了一种防御机制,其依据是使用正方位频率分多重(OFDM)的子容器假随机空白。然后,我们设计了一个探测器,对这些子容器进行普遍概率比测试(GLRT),最后,我们评价了针对智能干扰器的拟议技术的性能,该技术正在追求以下目标之一:最大限度地增加隐性,尽量减少移动宽带类型交通的光谱效率(SE),以及以超可耐性低时速通信(URLLC)的最大区块误率(CLBR)。数字结果显示,智能干扰器a)必须在未探测概率(MD)和SE减少MB和(b)之间作出妥协,只有具有足够高的功率时,才能通过URLC实现低可探测性和高系统性能。