Wireless sensor networks are now used in various fields. The information transmitted in the wireless sensor networks is very sensitive, so the security issue is very important. DOS (denial of service) attacks are a fundamental threat to the functioning of wireless sensor networks. This paper describes some of the most common DOS attacks and potential methods of protection against them. The case study shows one of the most frequent attacks on wireless sensor networks -the interference attack. In the introduction of this paper authors assume that the attack interference can cause significant obstruction of wireless sensor networks. This assumption has been proved in the case study through simulation scenario and simulation results. RESUMENLas redes de sensores inalámbricos se utilizan ahora en varios campos. La información transmitida en las redes de sensores inalámbricos es muy delicada, por lo que el tema de la seguridad es muy importante. Los ataques de DOS (Denegación de servicio) son una amenaza fundamental para el funcionamiento de las redes de sensores inalámbricos. Este documento describe algunos de los ataques DOS más comunes y los posibles métodos de protección contra ellos. El estudio de caso muestra uno de los ataques más frecuentes a las redes de sensores inalámbricos: el ataque de interferencia. En la introducción de este artículo, los autores suponen que la interferencia de ataque puede causar una obstrucción significativa de las redes de sensores inalámbricos. Esta suposición se ha demostrado en el estudio de caso a través de escenarios de simulación y los resultados de estas simulaciones.Palabras clave: Redes de sensores inalámbricos, detección de intrusión, comunicación inalámbrica, seguridad del sistema de comunicación, interferencia de radiofrecuencia.
Introduction: Adaptation to changes that occur with diabetes mellitus is often accompanied by a variety of negative emotional responses, including anger, guilt, frustration, denial, and loneliness. Objective: The aim of this study was to assess psychological domain of quality of life for people with diabetes mellitus in relation to some of the socio-demographic variables. Methods: The study included 150 patients with diabetes mellitus from October 2011 until June 2012 year, using the questionnaire for quality of life of the World Health Organization (WHOQOL-BREF). Results: Mean score for psychological health domain was 56.28 (± 14.88), without statistically significant difference in relation to sex and with a statistic significant difference decreased with increasing of age (F = 6.715, p = 0.000) and increased with the level of education (F = 7.958, p = 0.000). Negative emotions, such as blue mood, despair, anxiety, depression were present in almost 1/2 of the respondents, "often" (32.7%), "very often" (11.3%) and "always" (4.0%) without statistically significant difference in relation to gender, age and level of education. Discussion: Mean scores for psychological health domain were lower in older and less educated patients. Conclusion: Negative feelings were present in all patients indicating the need for preventive action to soften and reduce these negative feelings.
Every state structure can be seen as a service to citizens, including e-government. That is why one such service will be described - the electronic voting service. Electronic voting (abbreviated e-voting) is one of the forms of remote voting that is primarily used in political elections. E-voting is reflected in the use of at least one electronic device for the service. Each e-voting system has its requirements, characteristics, and features, but the perception of its users - voters is also important. This paper examines the effect of socio-demographic factors (such as gender, age, faculty, and field to which the faculty belongs) on the readiness of young people to use e-voting in elections. Sociological research to date has shown that young people are among the leading strata of society in terms of their willingness to take advantage of the new ICTs, including e-voting. In that sense, we will try to determine the attitudes of young people towards e-voting on the example of young people, students at all faculties and departments of one university, and whether is there a regularity or connection between some socio-demographic factors and attitudes towards e-voting.
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