Auflistung nach Schlagwort "entropy"
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- ZeitschriftenartikelModern random number generator design – Case study on a secured PLL-based TRNG(it - Information Technology: Vol. 61, No. 1, 2019) Fischer, Viktor; Bernard, Florent; Bochard, NathalieRandom number generators (RNGs) are basic cryptographic primitives. They are used to generate cryptographic keys, initialization vectors, challenges and nonces in cryptographic protocols, and random masks in countermeasures against side channel attacks. RNGs designed for cryptography must generate unpredictable random numbers. According to recent security standards, the unpredictability of generated random numbers must be thoroughly evaluated. In this paper, we provide a concrete example – a phase-locked loop based RNG protected by novel dedicated embedded tests, on which we show how stringent security requirements including unpredictability of generated numbers can be met, while respecting the standards.
- KonferenzbeitragTowards Entropy-Based Requirements Elicitation(Information systems technology and its applications – 6th international conference – ISTA 2007, 2007) Kostanyan, Arkadiy V.; Shekhovtsov, Vladimir A.This paper presents our views towards constructing the universal parsing technique for the software requirements texts and the requirements elicitation technique based on the output of this parsing process. With the proposed parsing technique, it should be possible to achieve language-independent processing of the requirements texts. Source sentences are treated as systems with words as elements and with a state determining the set of links between elements. The main goal of the parser is to find the state of the system with the highest organization level by minimizing its entropy. The requirements elicitation technique extends trained indicator approach by Cleland-Huang treating inter-word links as indicators. The output of the elicitation process is the set of requirements information ready to be processed further using Conceptual and Aspectual Predesign techniques.