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Content available Cyber(in)security
EN
The purpose of this article is to present three theses – (1) a cultural one: cyberspace is an advanced technical and cultural creation – it is an embodiment of dreams of numerous creators, inventors and engineers; (2) a technical one: security and cyberspace are inseparable components (hence cybersecurity); (3) and a paranoid one: complete security, if achievable, is not a permanent state (hence cyber(in)security). Cyberspace is conceived as a set of digital techniques used to exchange information but also as a new type of social space, partially virtual, which may constitute a being entirely separated from a physical one. A pivotal date for arising of cyberspace may be considered the year 1968 in which routing in the ARPANET network appeared and so did the first programmable logical controller (PLC). For cyberspace this will be the year 1976 – publishing of the key agreement protocol by Witfield Diffie and Martin Hellman. Development of security is correlated with warfare and armament – the military sector has historically made the most significant investments in this area.
EN
This paper describes the issue of authorship attribution based on the content of conversations originating from instant messaging software applications. The results presented in the paper refer to the corpus of conversations conducted in Polish. On the basis of a standardised model of the corpus of conversations, stylometric features were extracted, which were divided into four groups: word and message length distributions, character frequencies, tf-idf matrix and features extracted on the basis of turns (conversational features). The vectors of users’ stylometric features were compared in pairs by using Euclidean, cosine and Manhattan metrics. CMC curves were used to analyse the significance of the feature groups and the effectiveness of the metrics for identifying similar speech styles. The best results were obtained by the group of features being the tf-idf matrix compared with the use of cosine distance and the group of features extracted on the basis of turns compared with the use of the Manhattan metric.
PL
W artykule opisano zagadnienie atrybucji autorstwa na podstawie treści konwersacji pochodzących z komunikatorów internetowych. Zamieszczone w artykule wyniki odnoszą się do korpusu konwersacji prowadzonych w języku polskim. Na podstawie ustandaryzowanego modelu korpusu konwersacji wyodrębnione zostały cechy stylometryczne, które podzielono na cztery grupy tj.: rozkłady długości słowa i wiadomości, częstotliwości występowania znaków, macierz tf-idf oraz cechy wyodrębnione na podstawie tur (konwersacyjne). Wektory cech stylometrycznych użytkowników porównane zostały parami z wykorzystaniem metryk: euklidesowej, kosinusowej oraz Manhattan. Przy pomocy krzywych CMC przeanalizowano istotność grup cech oraz skuteczność metryk dla identyfikacji podobnych stylów wypowiedzi. Najlepsze rezultaty miała grupa cech będąca macierzą tf-idf porównywana z wykorzystaniem odległości kosinusowej oraz grupa cech wyodrębnionych na podstawie tur porównywana z wykorzystaniem metryki Manhattan.
EN
Currently existing solutions rarely protect message integrity, authenticity and user anonymity without burdening the user with details of key management. To address this problem, we present Aldeon—a protocol for anonymous group conversations in a peer-to-peer system. The efficiency of Aldeon is based on a novel tree synchronization algorithm, which is proposed and discussed in this paper. By using this algorithm, a significant reduction in the number of exchanged messages is achieved. In the paper, the formal definition of the proposed hash branch function and the proof of its efficiency are presented.
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