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EN
Many techniques and algorithms are developed to enhance the security in the cloud environment. This helps the users to secure their server from malicious attacks. Hence the study and investigation of the performance enhanced security algorithms is a must demanded field in the research industry. When large number users using same server to store their information in cloud environment security is a must needed component to preserve the privacy and confidentiality of every individual user. This can be further strengthened by detecting the attacks in earlier stages and taking countermeasure to prevent the attack. Thus securing the data network without any leakage and loss of the information is a challenging task in the cloud environment. When the attacks or intrusion is detected after the occurrence there may be damage to the data in the form of data damage or theft. Hence it is necessary to predict and detect the attacks before the occurrence to protect the privacy and confidentiality of the user information.
2
Content available Cloud architecture for logistic services
EN
This paper concerns organization of the local cloud computing environment at the Wroclaw University of Economics, developed in the framework of the LOGICAL research project. In particular the architecture of the environment, the implementation of main components of the environment are described as well as their references to the global cloud computing environment and the general architecture of the VMWare platform.
PL
Artykuł przedstawia organizację chmury obliczeniowej zaprojektowanej w ramach projektu LOGICAL (program Central Europe) i wdrożonej na Uniwersytecie Ekonomicznym we Wrocławiu. W szczególności opisano architekturę platformy, jej główne komponenty i usługi oraz platformę VMWare. Przedstawiona chmura obliczeniowa jest zorientowana na usługi i aplikacje dla małych i średnich przedsiębiorstw logistycznych w Europie Centralnej. Projekt LOGICAL jest w trakcie realizacji, jego zakończenie planuje się na koniec 2014 roku.
3
EN
The goal of the paper is to present different approaches to privacy-preserving data sharing and publishing in the context of e-health care systems. In particular, the literature review on technical issues in privacy assurance and current real-life high complexity implementation of medical system that assumes proper data sharing mechanisms are presented in the paper.
4
Content available remote Privacy Aware Data Management and Chase
EN
One of the key applications that uses the knowledge discovered by data mining is called Chase. Chase is a process that replaces null or missing values with the values predicted by the knowledge, and it is mainly used to obtain more complete information systems or to replace unknown attribute values in user queries. The process improves the quality of query answers with increased volume of reliable data, and helps the system understand user queries that would otherwise be difficult. However, a security breach may occur when a set of data in an information system is confidential. The confidential data can be hidden from the public view. However, Chase has the capability to reveal the hidden data by classifying them as null or missing. In this paper, we discuss disclosure of confidential data by Chase and protection algorithms that reduce the risk. In particular, the proposed algorithms aim to protect confidential data with the least amount of additional data hiding.
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