In our paper, we analyze possibilities to generate true random data in mobile devices such as mobile phones or pocket computers. We show how to extract arguably true random data with a probability distribution = 2 −64 close to the uniform distribution in the trace distance. To postprocess the random data acquired from the camera we use a randomness extractor based on the Carter-Wegman universal 2 families of hashing functions. We generate the data at the bit rate approximatively 36 bits per second -we used such a low bit rate only to allow statistical testing at a reasonable level of confidence.

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Kleptography is a study of stealing information securely and subliminally from black-box cryptographic devices. The stolen information is exfiltrated from the device via a backdoored algorithm inside an asymmetricaly encrypted subliminal channel. In this paper, the kleptography setting for the TLS protocol is addressed. While earlier proposals of asymmetric backdoors for TLS lacked the desired properties or were impractical, this work shows that a feasible asymmetric backdoor can be derived for TLS. First, the paper revisits the existing proposals of kleptographic backdoors for TLS of version 1.2 and lower. Next, advances of the proposal by Gołębiewski et al. are presented to achieve better security and indistinguishability. Then, the enhanced backdoor is translated both to TLS 1.2 and 1.3, achieving first practical solution. Properties of the backdoor are proven and its feasibility is demonstrated by implementing it as a proof-of-concept into the OpenSSL library. Finally, performance of the backdoor is evaluated and studied as a tool for side-channel detection.

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