Beam-Stealing
Autor: | Daniel Steinmetzer, Matthias Hollick, Yimin Yuan |
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Rok vydání: | 2018 |
Předmět: |
IEEE 802
business.industry Computer science Network packet Wireless network 020206 networking & telecommunications Eavesdropping 02 engineering and technology Man-in-the-middle attack Communications system law.invention Relay law 0202 electrical engineering electronic engineering information engineering Wireless 020201 artificial intelligence & image processing business Computer network |
Zdroj: | WISEC |
DOI: | 10.1145/3212480.3212499 |
Popis: | Millimeter-wave (mm-wave) communication systems provide high data-rates and enable emerging application scenarios, such as 'information showers' for location-based services. Devices are equipped with antenna arrays using dozens of elements to achieve high directionality and thus creating a signal beam that focuses only on a specific area-of-interest. This new communication paradigm of steerable links requires a rethinking of wireless networks and calls for efficient protocols to train the beam alignment among network nodes. The IEEE 802.1 lad standard defines the so-called sector sweep that sweeps through a predefined set of antenna-sectors to find the optimal antenna steerings. Such low-layer protocols lack proper security mechanisms and open unprecedented attack possibilities. Distant attackers might tamper with the beam-training and literally 'steal' the beam from other devices. In this work, we investigate the threat of such beam-stealing attacks that intercept the sector sweep. By injecting forged feedback, we force victims to steer their signals towards the attacker's location. We implement a proof-of-concept on commercial off-the-shelf devices and evaluate the impacts on eavesdropping and acting as a Man-in-the-Middle (MITM). Our practical experiments in typical indoor scenarios reveal that beam-stealing increases the eavesdropping performance by 38% and allow a MITM to relay packets with an average error of only 1%. With these results, we emphasize the threat of beam-training attacks on mm-wave networks and aim to raise the awareness of attack vectors that are emerging with new low-layer amendments in next-generation wireless networks. |
Databáze: | OpenAIRE |
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