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Belgrade, Serbia

Singidunum University is a private university in Belgrade, Serbia. The first of the faculties, the integral part of the university, was founded in 1999, while the university itself was established in 2005 following the decision issued by the Council for University Education Development of the Republic of Serbia. Singidunum University offers Bachelor’s, Master’s and Doctoral degree programmes in the fields of social science, formal science and applied science.Singidunum University is established in accordance with the Bologna Process education model by implementing the European Credit Transfer System . The appropriate curricula and degree structure have been created on the bases of well-known models of European faculties and colleges, and the best practices of Serbian national faculties. Wikipedia.

Ruj S.,Indian Statistical Institute | Stojmenovic M.,Singidunum University | Nayak A.,University of Ottawa
IEEE Transactions on Parallel and Distributed Systems

We propose a new decentralized access control scheme for secure data storage in clouds that supports anonymous authentication. In the proposed scheme, the cloud verifies the authenticity of the series without knowing the user's identity before storing data. Our scheme also has the added feature of access control in which only valid users are able to decrypt the stored information. The scheme prevents replay attacks and supports creation, modification, and reading data stored in the cloud. We also address user revocation. Moreover, our authentication and access control scheme is decentralized and robust, unlike other access control schemes designed for clouds which are centralized. The communication, computation, and storage overheads are comparable to centralized approaches. © 1990-2012 IEEE. Source

Yang W.,University of New South Wales | Hu J.,University of New South Wales | Wang S.,La Trobe University | Stojmenovic M.,Singidunum University
Pattern Recognition

Bio-cryptography is an emerging security technology which combines cryptography with biometrics. A good bio-cryptosystem is required to protect the privacy of the relevant biometric data as well as achieving high recognition accuracy. Fingerprints have been widely used in bio-cryptosystem design. However, fingerprint uncertainty caused by distortion and rotation during the image capturing process makes it difficult to achieve a high recognition rate in most bio-cryptographic systems. Moreover, most existing bio-cryptosystems rely on the accurate detection of singular points for fingerprint image pre-alignment, which is very hard to achieve, and the image rotation transformation during the alignment process can cause significant singular point deviation and minutiae changes. In this paper, by taking full advantage of local Voronoi neighbor structures (VNSs), e.g. local structural stability and distortion insensitivity, we propose an alignment-free bio-cryptosystem based on fixed-length bit-string representations extracted from modified VNSs, which are rotation- and translation-invariant and distortion robust. The proposed alignment-free bio-cryptosystem is able to provide strong security while achieving good recognition performance. Experimental results in comparison with most existing alignment-free bio-cryptosystems using the publicly-available databases show the validity of the proposed scheme. © 2013 Elsevier Ltd. All rights reserved. Source

Stojmenovic M.,Singidunum University
Proceedings of the 2012 15th International Conference on Network-Based Information Systems, NBIS 2012

The cloud computing concept became popular in 2006 and encapsulates a business model of providing services across the Internet. The Mobile Cloud Computing (MCC) concept was proposed in 2007. Recent advances in cloud computing have given a platform to various computationally heavy tasks and made them readily accessible to even mobile devices. Biometric applications are dedicated to fingerprint, face, or iris scanning and they typically work in a laboratory setting where the client computer has unlimited access to the throughput and computational resources of the network. Mobile devices can bring biometric evidence back to the laboratory in order for it to be processed. On a cloud infrastructure, information processing could be completed much faster. The limiting factor then becomes the battery power of the device and the throughput of the communication channel of the client node to the cloud. It is important to reduce as much as possible the packet size of the query or task given to the cloud, and also minimize the size of the received response to be able to incorporate cloud biometric technology for real time evidence processing. This position paper sets the mobile cloud computing agenda for biometric applications. © 2012 IEEE. Source

Research on natural and cultural heritage as one of the key levers of sustainable tourism development in Serbia has been conducted 2010, for the elaboration of the Master plan for Sustainable Rural Tourism Development in Serbia. To evaluate achieved and potential attractiveness of natural and cultural heritage at rural Serbia the FAS methodology was implemented, and the results of this evaluation are discussed. Based on achieved and potential attractiveness and accessibility of natural and cultural heritage, and other criteria, the rural tourism clusters have been established. Methodology for rural tourism clusters identification and prioritization is presented, and the results of prioritization discussed. Elaboration of the Master plan for Sustainable Rural Tourism Development in Serbia has been based on the holistic approach. Therefore the aim of rural tourism development is to protect, revitalize and use the natural and cultural assets in sustainable way to benefit the rural communities. Challenges and possibilities for sustainable heritage utilization, sustainable rural tourism development, and management arrangements are discussed for two cases-Viminacium archaeological park and Mountain Stara planina Nature Park. Based on analyzed cases the evaluation criteria for management of sustainable heritage utilization and rural tourism development are proposed. Source

Milosevic-Dordevic J.S.,Singidunum University | Milosevic-Dordevic J.S.,Institute for Political Studies | Zezelj I.L.,University of Belgrade
Computers in Human Behavior

The popularity of social networking sites (SNS) changed to a great extent not only media environment, but also everyday life activities of modern humans. Despite their obvious benefits in terms of communication, there is evidence of addictive tendencies in SNS use. The study examined psychological and socio-demographic predictors of these addictive tendencies in Serbian SNS users drawn from a representative sample (N = 2014), having in mind that Serbia has Facebook penetration rate over European average. Results indicate a low incidence of self-reported addictive tendencies, with some individual differences worth addressing. We developed and tested exhaustive model that included three sets of predictors (socio-demographic, psychological and exposure to traditional media), as well as restrictive models that systematically excluded group by group. Path analysis revealed that psychological traits were stronger predictors than socio-demographic ones: people with lower self-esteem, lower general self-efficacy and higher introversion were more likely to report addictive SNS use. Although our results in general support the so called "social compensation hypothesis", it can be due to the focus on addictive tendencies instead of other indicators of SNS use. © 2013 Elsevier Ltd. All rights reserved. Source

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