Youqian Zhang (The Hong Kong Polytechnic University), Zheng Fang (The Hong Kong Polytechnic University), Huan Wu (The Hong Kong Polytechnic University & Technological and Higher Education Institute of Hong Kong), Sze Yiu Chau (The Chinese University of Hong Kong), Chao Lu (The Hong Kong Polytechnic University), Xiapu Luo (The Hong Kong Polytechnic University)

Optical fibers are widely regarded as reliable communication channels due to their resistance to external interference and low signal loss.
This paper demonstrates a critical side channel within telecommunication optical fiber that allows for acoustic eavesdropping. By exploiting the sensitivity of optical fibers to acoustic vibrations, attackers can remotely monitor sound-induced deformations in the fiber structure and further recover information from the original sound waves.

This issue becomes particularly concerning with the proliferation of Fiber-to-the-Home (FTTH) installations in modern buildings. Attackers with access to one end of an optical fiber can use commercially available Distributed Acoustic Sensing (DAS) systems to tap into the private environment surrounding the other end. However, because the optical fiber alone is not sensitive enough to airborne sound, we introduce a “Sensory Receptor” that improves acoustic capture. Our results demonstrate the ability to recover critical information, such as human activities, indoor localization, and conversation contents, raising important privacy concerns for fiber-optic communication networks.

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BLERP: BLE Re-Pairing Attacks and Defenses

Tommaso Sacchetti (EURECOM), Daniele Antonioli (EURECOM)

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FLIPPYRAM: A Large-Scale Study of Rowhammer Prevalence

Martin Heckel (Hof University of Applied Sciences), Nima Sayadi (Hof University of Applied Sciences), Jonas Juffinger (Graz University of Technology), Carina Fiedler (Graz University of Technology), Daniel Gruss (Graz University of Technology), Florian Adamsky (Hof University of Applied Sciences)

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Memory Band-Aid: A Principled Rowhammer Defense-in-Depth

Carina Fiedler (Graz University of Technology), Jonas Juffinger (Graz University of Technology), Sudheendra Raghav Neela (Graz University of Technology), Martin Heckel (Hof University of Applied Sciences), Hannes Weissteiner (Graz University of Technology), Abdullah Giray Yağlıkçı (ETH Zürich), Florian Adamsky (Hof University of Applied Sciences), Daniel Gruss (Graz University of Technology)

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