Rate Adaptation in Unlicensed Bands Under Smart Jamming Attacks
Wireless communication protocols for unlicensed frequency bands support Rate Adaptation Algorithms (RAAs) to cope with time-varying channel conditions. RAAs are not designed to operate against adversarial behavior, however. In this paper, the authors analyze the vulnerabilities of two state-of-the-art RAAs, Minstrel and RARF, against a smart jamming model, whereby an adversary learns the current rate of transmission of each packet before deciding whether to jam the packet or not. Their parameterized analysis, validated by ns-3 simulations, shows that a jamming rate of only 10% is sufficient to bring the throughput of Minstrel below the base rate of 1 Mb/s, whereas RARF requires a jamming rate of 16:7%.