1,721,406 research outputs found
Multiple Sclerosis -- 1956-69 -- Other Diseases Researched, Miscellaneous -- letter, 1961-07-05
Letter from Anderson, Ross Mcd. to Sabin, Albert B. dated 1961-07-05.Sabin Collection Fair Use Policy</a
The Newton Channel
© Springer-Verlag Berlin Heidelberg 1996. Simmons asked whether there exists a signature scheme with a broadband covert channel that does not require the sender to compromise the security of her signing key. We answer this question in the affirmative; the EIGamal signature scheme has such a channel. Thus, contrary to popular belief, the design of the DSA does not maximise the covert utility of its signatures, but minimises them. Our construction also shows that many discrete log based systems are insecure: they operate in more than one group at a time, and key material may leak through those groups in which discrete log is easy. However, the DSA is not vulnerable in this way.status: Publishe
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Hearing your touch: a new acoustic side channel on smartphones
We present the first acoustic side-channel attack that recovers what users type on the virtual keyboard of their touch-screen smartphone or tablet. When a user taps the screen with a finger, the tap generates a sound wave that propagates on the screen surface and in the air. We found the device's microphone(s) can recover this wave and "hear" the finger's touch, and the wave's distortions are characteristic of the tap's location on the screen. Hence, by recording audio through the built-in microphone(s), a malicious app can infer text as the user enters it on their device. We evaluate the effectiveness of the attack with 45 participants in a real-world environment on an Android tablet and an Android smartphone. For the tablet, we recover 61% of 200 4-digit PIN-codes within 20 attempts, even if the model is not trained with the victim's data. For the smartphone, we recover 9 words of size 7--13 letters with 50 attempts in a common side-channel attack benchmark. Our results suggest that it not always sufficient to rely on isolation mechanisms such as TrustZone to protect user input. We propose and discuss hardware, operating-system and application-level mechanisms to block this attack more effectively. Mobile devices may need a richer capability model, a more user-friendly notification system for sensor usage and a more thorough evaluation of the information leaked by the underlying hardware
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