Comparing Smartphone Speech Recognition and Touchscreen Typing for Composition and Transcription

International audienceRuan et al. found transcribing short phrases with speech recognition nearly 200% faster than typing on a smartphone. We extend this comparison to a novel composition task, using a protocol that enables a controlled comparison with transcription. Results show that both composing and transcribing with speech is faster than typing. But, the magnitude of this difference is lower with composition, and speech has a lower error rate than keyboard during composition, but not during transcription. When transcribing, speech outperformed typing in most NASA-TLX measures, but when composing, there were no significant differences between typing and speech for any measure except physical demand

New Countermeasures against Fault and Software Type Confusion Attacks on Java Cards

Part 3: Smart Cards and Embedded DevicesInternational audienceAttacks based on type confusion against Java Card platforms have been widely studied in the literature over the past few years. Until now, no generic countermeasure has ever been proposed to cover simultaneously and efficiently direct and indirect type confusions. In this article we bridge this gap by introducing two different schemes which cover both type confusions. First, we show that an adequate random transformation of all the manipulated data on the platform according to their type can bring a very good resistance against type confusion exploits. Secondly, we describe how a so-called Java Card Virtual Machine Abstract Companion can allow one to detect all type confusions between integers and Objects all across the platform. While the second solution stands as a strong but resource-demanding mechanism, we show that the first one is a particularly efficient memory/security trade-off solution to secure the whole platform