Statistical Metadata plays an important role in defining the process and concept in statistical data. It has to be captured as early as possible in order to maintain its information quality. Statistics Indonesia treat...
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ISBN:
(纸本)9781538631003
Statistical Metadata plays an important role in defining the process and concept in statistical data. It has to be captured as early as possible in order to maintain its information quality. Statistics Indonesia treats metadata as a side product of the statistical process which leads to gaps during the conceptualizing and implementation process. As metadata captured once and reused :dung the statistical life cycle, SOA and web service could support the capabilities in form of computingsystem. The objective of the study is to design statistical metadata computingsystem based on service computing system Engineering (SCSE) framework The contribution of the paper is to enrich the application of service computing system engineering framework.
The advances of information technology have provided an opportunity for organizations to meet their needs by improving the system. The organization should keep the customer's trust to optimize their needs in busin...
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ISBN:
(纸本)9781538631003
The advances of information technology have provided an opportunity for organizations to meet their needs by improving the system. The organization should keep the customer's trust to optimize their needs in business service and improve the service itself. Therefore, it is needed an understanding of the servicecomputing trust. A framework of measuring the trustworthiness of service computing systems is the topic in this research. This paper reviews the servicesystem that is represented in the direction towards developing a measurement framework. The contribution to this paper provides an understanding of servicecomputing, servicecomputing technologies and trusted service computing systems that will be used as a foundation for guiding the development of the measurement framework of trustworthiness of service computing system.
While Digital Twins (DTs) bring convenience to city managers, they also generate new challenges to city network security. Currently, cyberspace security becomes increasingly complicated. Intrusion detection and Deep L...
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While Digital Twins (DTs) bring convenience to city managers, they also generate new challenges to city network security. Currently, cyberspace security becomes increasingly complicated. Intrusion detection and Deep Learning (DL) are combined with shunning security threats in service computing systems and improving network defense capabilities. DTs can be applied to network security. People's understanding of cyberspace security can be improved using DTs to digitally define, model, and display the network environment and security status. The intrusion detection data are optimized based on DL technology, and a network intrusion detection algorithm integrated with Deep Neural Network (DNN) model is proposed. In the cloud servicesystem, a trust model based on Keyed-Hashing-based Self-Synchronization (KHSS) is introduced. This model predicts the security state and detects attacks according to existing malicious attacks, ensuring the network security defense system's regular operation. Finally, simulation experiments verify the Deep Belief Networks (DBN) model's feasibility and the cloud trust model. The DBN algorithm proposed improves the correct detection rate of unknown samples by 4.05% compared with the Support Vector Machine (SVM) algorithm. From the 20,100 pieces of data in the test dataset, the number of correct attacks detected by the DBN algorithm exceeds those by the SVM algorithm by 818. DBN algorithm requires a short detection time while ensuring optimal detection accuracy. The KHSS+DBN model predicts cloud security states, and the results are the same as the actual states, with an error of only 1%similar to 2%.
An ecosystem of digital services requires a service platform to facilitate a dynamic service introduction. As a system of systems and a service-oriented system, Smart City has key characteristics of a service ecosyste...
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ISBN:
(纸本)9781728181967
An ecosystem of digital services requires a service platform to facilitate a dynamic service introduction. As a system of systems and a service-oriented system, Smart City has key characteristics of a service ecosystem. However, a service platform has unique characteristics to become a service platform for the implementation of Smart City. On the other hand, an implementation of a service platform for a Smart City must depart from a proven service platform concept conforming to the characteristics of a Smart City Architecture. This paper elaborates an initial process of a service platform implementation with Smart City characteristics. This initial study takes its form as a descriptive study from a systematic literature review employing a Design Research Methodology (DRM) approach. This paper provides an overview of an application of service platforms concept in the digital service ecosystem and service computing systems to fulfill the need of a Smart City Architecture characteristics.
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