Security Issues in Distributed Systems - A survey

One important technology area in which researchers are interested is distributed systems technology. Distributed systems in general involve the interaction between diverse independent entities using a common language and protocols to achieve different conventional goals. Enterprises are now particularly growing, involving data sharing among distinct participating entities with the need of distributed resources and computing. This internet growth has meant that many distributed systems are open to the world, from where this has brought to a major problem: certifying that such systems are secure. By this approach it is essential tocover security and protection in distributed environments. This report survey emphasizes this aspect that provides a literature review between the collected papersto discuss some general security issues. The key ideas and techniques involved at these systems are studied. It defines what a secure system is, observes security policies from security mechanisms including authentication and authorization as major processes. Considers encryption as a cryptographic technique that is useful for data confidentiality and privacy than similarly, access control as an important feature that enables authority is also assessed monitoring some proposal models. Atthe same time denials of service attacks attempting to prevent legitimate users from accessing services are described observing different scenarios

Altmetrics for Digital Libraries

The volume of scientific literature is increasing and researchers have difficulties in estimating their quality and relevance. Library portals, therefore, are getting more relevant by using quality indicators to help researchers during their research process. With the growing presence of social media, altmetrics have been proposed as complementary indicators to traditional measures. Altmetrics can help to identify online attention and can appear much faster than citations. This study explores altmetrics for filtering relevant articles (in library portals) within the discipline of Economic and Business Studies literature. Firstly, it highlights the altmetrics presence from Mendeley and Altmetric.com for the journals in the above-mentioned disciplines. It presents correlations between citation and altmetrics on article and journal level, suggesting Mendeley counts as an alternative indicator to citations. Afterward, it investigates the use of altmetrics data for potential users with interests in new trends, social media platforms, and journal rankings. Lastly, it explores the behavior of economic researchers using a survey by discovering the usefulness of different altmetrics. With the findings of this study, several forms of altmetrics in library portals are discussed, using EconBiz as the proof-of-concept, to assist both researchers and libraries to identify relevant journals or articles and to cope with the information overload

Altmetrics for Digital Libraries: Concepts, Applications, Evaluation, and Recommendations

The volume of scientific literature is rapidly increasing, which has led to researchers becoming overloaded by the number of articles that they have available for reading and difficulties in estimating their quality and relevance (e.g., based on their research interests). Library portals, in these circumstances, are increasingly getting more relevant by using quality indicators that can help researchers during their research discovery process. Several evaluation methods (e.g., citations, Journal Impact Factor, and peer-reviews) have been used and suggested by library portals to help researchers filter out the relevant articles (e.g., articles that have received high citations) for their needs. However, in some cases, these methods have been criticized, and a number of weaknesses have been identified and discussed. For example, citations usually take a long time to appear, and some articles that are important can remain uncited. With the growing presence of social media today, new alternative indicators, known as “altmetrics,” have been encountered and proposed as complementary indicators to traditional measures (i.e., bibliometrics). They can help to identify the online attention received by articles, which might act as a further indicator for research assessment. One often mentioned advantage of these alternative indicators is, for example, that they appear much faster compared to citations. A large number of studies have explored altmetrics for different disciplines, but few studies have reported about altmetrics in the fields of Economics and Business Studies. Furthermore, no studies can be found so far that analyzed altmetrics within these disciplines with respect to libraries and information overload. Thus, this thesis explores opportunities for introducing altmetrics as new method for filtering relevant articles (in library portals) within the discipline of Economic and Business Studies literature. To achieve this objective, we have worked on four main aspects of investigating altmetrics and altmetrics data, respectively, of which the results can be used to fill the gap in this field of research. (1) We first highlight to what extent altmetric information from the two altmetric providers Mendeley and Altmetric.com is present within the journals of Economics and Business Studies. Based on the coverage, we demonstrate that altmetrics data are sparse in these disciplines, and when considering altmetrics data for real-world applications (e.g., in libraries), higher aggregation levels, such as journal level, can overcome their sparsity well. (2) We perform and discuss the correlations of citations on article and journal levels between different types and sources of altmetrics. We could show that Mendeley counts are positive and strongly correlated with citation counts on both article and journal levels, whereas other indicators such as Twitter counts and Altmetric Attention Score are significantly correlated only on journal level. With these correlations, we could suggest Mendeley counts for Economic and Business Studies journals/articles as an alternative indicator to citations. (3) In conjunction with the findings related to altmetrics in Economics and Business Studies journals, we discuss three use cases derived from three ZBW personas in terms of altmetrics. We investigate the use of altmetrics data for potential users with interests in new trends, social media platforms and journal rankings. (4) We investigated the behavior of economic researchers using a survey by exploring the usefulness of different altmetrics on journal level while they make decisions for selecting one article for reading. According to the user evaluation results, we demonstrate that altmetrics are not well known and understood by the economic community. However, this does not mean that these indicators are not helpful at all to economists. Instead, it brings forward the problem of how to introduce altmetrics to the economic community in the right way using which characteristics (e.g., as visible numbers attached at library records or behind the library’s relevance ranking system). Considering the aforementioned findings of this thesis, we can suggest several forms of presenting altmetric information in library portals, using EconBiz as the proof-of-concept, with the intention to assist both researchers and libraries to identify relevant journals or articles (e.g., highly mentioned online and recently published) for their need and to cope with the information overload

An Exemplary Survey Implementation on Text Mining with Rapid Miner

Recently many disciplines such as databases, statistics, and information retrieval have affected the growth of data mining. By this phenomenon, data mininghad been allowing to extract information or knowledge from these data. Data mining employs diverse techniques based on this phenomenon, but most existing approach is data analysis and text mining. Text Mining allows various analyses for data representing the new framework known as Information Extraction. The extraction ofinformation from unstructured resources has released new paths for analyzing,organizing and querying data. Adapting and implementing these patterns has beentime-consuming in the past but with the use of some discovery tools now this taskhas been significantly easier. The first part of the study includes the mining of an unstructured text and the second part is visualization, both provided by Rapid Miner. The visualization part has some subparts which are directly related to the conducted survey dedicated to particular individuals. These subparts are; finding correlation between the attributes of people, determination of the most weighted attribute and clustering subpart which classifies a group of people that has moresimilarity between them. Each of these parts has been examined and shown by definitions, examples, analysis and conclusions

Enriching a Library Portal (EconBiz) with Altmetrics

In this thesis, the opportunities for introducing altmetrics in library information systems are explored. We discuss studies looking at altmetrics data for Business and Economics literature. The focus of the thesis is to highlight the relevant altmetric indicators for journals in a specified discipline, their aggregation level and visualization modes. The most important findings are discussed and we present some preliminary suggestions for future integration of altmetrics data in library information systems

Altmetrics for Digital Libraries

The volume of scientific literature is increasing and researchers have difficulties in estimating their quality and relevance. Library portals, therefore, are getting more relevant by using quality indicators to help researchers during their research process. With the growing presence of social media, altmetrics have been proposed as complementary indicators to traditional measures. Altmetrics can help to identify online attention and can appear much faster than citations. This study explores altmetrics for filtering relevant articles (in library portals) within the discipline of Economic and Business Studies literature. Firstly, it highlights the altmetrics presence from Mendeley and Altmetric.com for the journals in the above-mentioned disciplines. It presents correlations between citation and altmetrics on article and journal level, suggesting Mendeley counts as an alternative indicator to citations. Afterward, it investigates the use of altmetrics data for potential users with interests in new trends, social media platforms, and journal rankings. Lastly, it explores the behavior of economic researchers using a survey by discovering the usefulness of different altmetrics. With the findings of this study, several forms of altmetrics in library portals are discussed, using EconBiz as the proof-of-concept, to assist both researchers and libraries to identify relevant journals or articles and to cope with the information overload