Wyniki wyszukiwania - BazTech

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Life in Extreme Habitats : Diversity of Endolithic Microorganisms from Cold Desert Ecosystems of Eastern Pamir

Khomutovska N., Jerzak M., Kostrzewska-Szlakowska I., Kwiatowski J., Suska-Malawska M., Syczewski M., Jasser I.

Polish Journal of Ecology

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2017

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Vol. 65, nr 4

303--319

EN

The aim of this study was to identify cyanobacteria diversity in rock communities from the cold desert ecosystem in Eastern Pamir Mountains (Tajikistan) and assess if the rock type and rock`s porosity can be indicators of microbial diversity in this extreme environment. Seven samples were collected in July 2015 from hillsides (ca 4000-4500 m a.s.l.) of the Eastern Pamir Mountains. Petrographic and scanning microscopy (SEM) allowed for the characterization of the rocks inhabited by endolithic communities as granite, gneiss and limestone with variable porosity. Based on next-generation sequencing (NGS) of amplicon of V3-V4 hypervariable region of 16S rRNA gene, we established that Actinobacteria, Proteobacteria and Cyanobacteria dominated the endolithic communities of microorganisms in the rocks studied, which distinguishes these communities from those described for other cold arid regions. Chroococcidiopsis and Leptolyngbya were dominant genera in the cyanobacterial communities according to culture-dependent analysis, as well as microscopic analyses of endoliths scraps from the rocks. Culture-independent metagenomic analyses revealed that Microcoleus, Acaryochloris, Chroococcidiopsis and Thermosynechococcus reads were the most abundant from all reads and dominated interchangeably in the samples. Endolithic communities of microorganisms in the rocks from the cold desert shrubland of Eastern Pamir Mts. appear to be diverse and different from communities described for other cold deserts.

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Application of the Complex Event Processing system for anomaly detection and network monitoring

Frankowski G., Jerzak M., Miłostan M., Nowak T., Pawłowski M.

Computer Science

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2015

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Vol. 16 (4)

351--371

EN

Protection of infrastructures for e-science, including grid environments and NREN facilities, requires the use of novel techniques for anomaly detection and network monitoring. The aim is to raise situational awareness and provide early warning capabilities. The main operational problem that most network operators face is integrating and processing data from multiple sensors and systems placed at critical points of the infrastructure. From a scientific point of view, there is a need for the efficient analysis of large data volumes and automatic reasoning while minimizing detection errors. In this article, we describe two approaches to Complex Event Processing used for network monitoring and anomaly detection and introduce the ongoing SECOR project (Sensor Data Correlation Engine for Attack Detection and Support of Decision Process), supported by examples and test results. The aim is to develop methodology that allows for the construction of next-generation IDS systems with artificial intelligence, capable of performing signature-less intrusion detection.

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Wstępne wyniki badań wpływu pasterstwa owiec na właściwości fizykochemiczne i stan sanitarno-bakteriologiczny wód podziemnych drenowanych przez źródła w rejonie Pienin i Beskidu Sądeckiego

Jerzak M.

Biuletyn Państwowego Instytutu Geologicznego

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2013

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nr 456 Hydrogeologia z. 14/1

225--231

PL

Istotą badań przedstawionych w artykule jest wykazanie zależności pomiędzy sezonowością zmian właściwości fizykochemicznych wód podziemnych oraz stopniem ich bakteriologicznego zanieczyszczenia w rejonie pienińskich pastwisk owiec. Do badań wytypowano 10 poligonów badawczych z 28 źródłami, które objęto systematycznymi badaniami okresowymi prowadzonymi na przełomie kwietnia i maja, w sierpniu oraz w grudniu 2012 r. Badania terenowe obejmowały pomiar temperatury wód podziemnych, pH, przewodności elektrolitycznej właściwej oraz stężenia związków azotowych, jak również pobór próbek wód do oznaczeń stężeń jonów głównych w wodzie i badań bakteriologicznych.

EN

The objective of the research is to demonstrate the correlation between seasonal changes of the physicochemical properties of groundwater and the level of bacteriological pollution in the vicinity of sheep pastures. In order to test the research hypothesis, 10 research areas with 28 springs were selected that were systematically investigated during such periods: at the turn of April and May, August and December 2012. The seasonal field investigations included accurate measurements of groundwater temperature, water reaction, the electrical conductivity of water and the concentration of the nitrogen compounds. Water samples were collected in order to measure the concentrations of major ions and the bacteriological analyses.

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Współczesna giełda towarowa w światowym agrobiznesie (cz. 1)

Jerzak M.

Logistyka

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2011

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nr 6

69-70

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Distributed Intrusion Detection Systems – MetalDS case study

Jerzak M., Wojtysiak M.

Computational Methods in Science and Technology

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2010

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Vol. spec. iss. (1)

135-145

EN

The “Defence in depth” strategy for securing computer systems claims that technologies used to protect a network should fulfill the “Protect, Detect and React” paradigm. “This means that in addition to incorporating protection mechanisms, organizations need to expect attacks and include attack detection tools” [1]. This paper presents MetaIDS – the Intrusion Detection System developed in Poznań Supercomputing and Networking Center. It detects both attack attempts and successful attacks to the system. The paper highlights typical problems with intrusions detection, principle of the MetaIDS work and real attack example seen from the perspective of MetaIDS.