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引用次数: 0
摘要
为防止跟踪,蓝牙低功耗(BLE)协议集成了地址随机化等隐私机制。然而,正如之前的研究强调的那样,地址随机化并非灵丹妙药,可以通过利用协议披露的其他类型信息(如计数器或定时)来规避。在这项工作中,我们提出了两种新型攻击方法,利用接收信号强度指示(RSSI)形式的侧信息破解 BLE 中的地址随机化。更确切地说,我们演示了如何利用从接收到的 BLE 广告数据包中提取的 RSSI 测量值将同一设备发出的轨迹联系在一起,或在地址随机化的情况下直接重新识别该设备。所提出的攻击利用 RSSI 的分布来创建设备指纹,在各种场景下的经验评估证明了其有效性。例如,在设备保持在同一位置的静态情况下,所提出的方法可获得高达 97% 的重新识别准确率,甚至可以通过增加敌方控制的接收器数量将准确率提高到完美水平。我们还讨论了影响攻击成功的因素,并评估了两种可能的应对措施,这两种措施的有效性有限,凸显了缓解这种威胁的难度。
RSSI-based attacks for identification of BLE devices
To prevent tracking, the Bluetooth Low Energy (BLE) protocol integrates privacy mechanisms such as address randomization. However, as highlighted by previous researches address randomization is not a silver bullet and can be circumvented by exploiting other types of information disclosed by the protocol such as counters or timing. In this work, we propose two novel attack to break address randomization in BLE exploiting side information in the form of Received Signal Strength Indication (RSSI). More precisely, we demonstrate how RSSI measurements, extracted from received BLE advertising packets, can be used to link together the traces emitted by the same device or directly re-identify it despite address randomization. The proposed attacks leverage the distribution of RSSI to create a fingerprint of devices with an empirical evaluation on various scenarios demonstrating their effectiveness. For instance in the static context, in which devices remain at the same position, the proposed approach yields a re-identification accuracy of up to 97%, which can even be boosted to perfect accuracy by increasing the number of receivers controlled by the adversary. We also discuss the factors influencing the success of the attacks and evaluate two possible countermeasures whose effectiveness is limited, highlighting the difficulty in mitigating this threat.
期刊介绍:
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