Online Schedule Randomization to Mitigate Timing Attacks in 5G Periodic URLLC Communications

Ultra-reliable low-latency communication (URLLC) in 5G networks is designed to support time-critical applications such as industrial control systems (ICSs), where user equipment (UEs) communicate with a base station (BS) very high reliability and low latency. Most of these communications ICSs are periodic associated hard deadlines. To provide reliable service while satisfying the deadlines, BS usually reserves slots frequencies precomputes schedule for UEs. The same repeats over time, which makes predictable. However, an attacker can exploit this aspect launch timing attacks disrupting specific communication, thereby, undermining safety system. mitigate attacks, we present online strategy that randomizes scheduled time without violating flow We use Kullback-Leibler divergence measure randomness schedules generated by our reference hypothetical truly random strategy. perform security analysis proposed using Prediction Probability predictability schedules. evaluate performance against state-of-the-art baseline, show performs better than baseline across all parameter settings.