Trust‐based security‐level evaluation method for dynamic service‐oriented environments

Kołaczek, Grzegorz; Juszczyszyn, Krzysztof; Świltek, Paweł; Grzech, Adam; Schauer, Patryk; Stelmach, Paweł; Falas, Łukasz

doi:10.1002/cpe.3583

Cited by 4 publications

(2 citation statements)

References 40 publications

(55 reference statements)

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“…Our study highlights the importance of the measurement of spatial autocorrelation for the security level evaluation of the composite services in service-oriented systems. More generally, the spatial autocorrelation empowers the system to fraud detection by implementation of the business process logic (Kołaczek et al, 2015).…”

Section: Security Analysis At Business Processes Levelmentioning

confidence: 99%

Security framework for dynamic service-oriented IT systems

Kołaczek

Mizera–Pietraszko

2018

Journal of Information and Telecommunication

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The paper proposes a framework for dynamic service-oriented IT systems security. We review the context of service-oriented architecture (SOA), which constitutes a paradigm of dynamic system configuration including security constraints at the system module development stage, supporting with the domain-driven resources, carrying out routine SOA maintenance and implementing XML-compatible parsing technologies in order to improve the system performance. Likewise, we discuss the fundamental differences between security management systems with traditional centralized and monolithic architecture and service-oriented IT systems from the perspective of securityrelated issues. Web services security becomes fairly crucial, in particular, when it relates to distributed system environments. Our multi-layered reference framework for service-oriented systems is aimed at principal objectives predominantly related to IT systems security working in dynamic environments. Furthermore, we carry out an in-depth security analysis of a multi-agent system design dedicated to work in the service-oriented environments. Finally, we conclude briefly with the findings of our study on IT security requirements and performance on the comparison basis of correlation between the observations at the low and at high layers of our reference security model. The paper is an extended version of INISTA 2017 paper [Kołaczek, G., & Mizera-Pietraszko, J. (2017) and presents more detailed related works overview, explanation of the subjective logic application in the process of security level evaluation and extensive discussion of the obtained results and their role in SOA security level modelling.

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Section: Security Analysis At Business Processes Levelmentioning

confidence: 99%

Security framework for dynamic service-oriented IT systems

Kołaczek

Mizera–Pietraszko

2018

Journal of Information and Telecommunication

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“…The principles of service orientation are independent of any vendor, product, or technology. Kołaczek et al proposed a method of decision-making in security level estimation process of service-based applications in Future Internet architecture [11]. Using experiments that carried on exemplary application (virtual laboratory Online Lab, using Future Internet IPv6 QoS architecture), the paper evaluates against two types of attacks observed with the use of traffic anomaly detection methods.…”

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confidence: 99%

Recent research advances in cloud computing and big data

Dong

Malloy

2015

Concurrency and Computation

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Cloud computing, often referred to as simply 'the cloud', is the delivery of on-demand computing resources-everything from applications to data centers-over the Internet on a pay-for-use basis [3]. Cloud computing also promises to accommodate a huge volume of data that is regarded as a promising methodology to deal with efficient big data processing. Integration of cloud and big data ecosystems thereby not only allows improved cloud resource utilization and efficiency but also brings optimized performance for big data applications underpinned by cloud infrastructures. Based on the trend that cloud infrastructures of traditional way in which big data applications are executed are undergoing radical change, cloud has evolved in many aspects including cloud architectures, cloud applications, cloud security, and cloud services. However, there are still many other challenges to be resolved to offer better support for big data applications.Research advances in big data and cloud computing continue to be major focus areas in research and industry and we expect that to continue for the next few years. This special issue focuses on new strategic research area that addresses 'Recent Research Advances in Cloud Computing and Big Data'. From the submitted papers for the 2nd

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