Annual Doctoral Workshop on Mathematical and Engineering Methods in Computer Science Oasics – Openaccess Series in Informatics a Privacy-aware Protocol for Sociometric Questionnaires

Sixth Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2010, Selected Papers, October 22-24, 2010, Mikulov, Czech Republic

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A Privacy-Aware Protocol for Sociometric Questionnaires

In the paper we design a protocol for sociometric questionnaires, which serves the privacy of responders. We propose a representation of a sociogram by a weighted digraph and interpret individual and collective phenomena of sociometry in terms of graph theory. We discuss security requirements for a privacy-aware protocol for sociometric questionnaires. In the scheme we use additively homomorphi...

Annual Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2009, November 13-15, 2009, Prestige Hotel, Znojmo, Czech Republic

Traceability improvements of a new RFID protocol based on EPC C1 G2

Radio Frequency Identification (RFID) applications have spread all over the world. In order to provide their security and privacy, researchers proposed different kinds of protocols. In this paper, we analyze the privacy of a new protocol, proposed by Yu-Jehn in 2015 which is based on Electronic Product Code Class1 Generation 2 (EPC C1 G2) standard. By applying the Ouafi_Phan privacy model, we s...

Stock Price Prediction using Machine Learning and Swarm Intelligence

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...