The Relation of Department Components and Activity in Spatial Information Infrastructure

Spatial Information Infrastructure (SII) facilitates the sharing, interoperability and integration of geographical information among department components of a region or a country. The SII is developed and shared by different department components. The relation of department components is a fundament for collaborating tasks and information exchange in SII. There are two kinds of department components, one is the provider which produces geospatial data of SII, other is the consumer which uses geospatial data of SII. The consumer includes two kinds of user, one is the user which only uses and does not produce geospatial data in SII, other is the special user which not only uses but also produces geospatial data in SII. The provider includes different hierarchies corresponding to different kinds of geospatial data in SII. All providers in the hierarchies form provider actor set PA. All consumers also form consumer actor set CA. The sender recipient relation SR and SRI are defined on Cartesian product of PA and CA. Five tasks and information flow in SII demonstrate the geospatial data acquisition, information production, management, and application among department components. The tasks and their sub tasks are subdivided activities. Each activity corresponds to the relation SR or RSI. The activity along with the relation of provider and consumer forms a scheme of geographical information exchange between department components.

Resilience at the Core: Critical Infrastructure Protection Challenges, Priorities and Cybersecurity Assessment Strategies

The importance of a nation’s infrastructure is a vital core for economic growth, development, and innovation. Health, wealth, access to education, public safety, and helping prepare for global crises like pandemics are all dependent on functioning and reliable infrastructures. In decades, the substantial threats affecting infrastructures globally whether in the form of extreme weather, Covid-19 pandemic, or the threats of state and non-state actors’ hackers, demanded urgency in building resilience infrastructures both during crises and in more stable conditions. At the same time, the adoption of emerging and innovative technologies boosts the development of the infrastructures using information, communication, and technology (ICT) platform. This shift accelerated its evolution toward digitization where interdependent and interconnected cyberspace demands collaborative and holistic strategies in protecting critical and high risks infrastructure assets from a growing number of disruptive cyberattacks. These ever-evolving cyber threats are creating increasingly dangerous and targeted cyberattacks to damage or disrupt the critical infrastructures delivering vital services to government, energy, healthcare, transportation, telecommunication, and other critical sectors. The infrastructure’s high risks assets present serious challenges and are crucial to safety, efficiency, and reliability. Any nation must recognize and determine how to cope with any type of threats to their critical infrastructure as well as the strategies to remain resilient. This article first describes the challenges and the need for critical infrastructure protection including the related global risks challenges. It then reviews the United Nations, the European Union, and the United States’ strategies, priorities, and urgencies of critical infrastructure protection. Subsequently, it surveys the critical infrastructure protection resilience strategies including ISO, IEC, ISA, NIST, CAF and CMM frameworks.

Comparative Study on the Legal Regulation of a Cross-Border Flow of Personal Data and Its Inspiration to China

In the context of today's big data and cloud computing,the global flow of data has become a powerful driver for international economic and investment growth.The EU and the U.S.have created two different paths for the legal regulation of the cross-border flow of personal data due to their respective historical traditions and realistic demands.The requirements for data protection have shown significant differences.The EU advocates localization of data and firmly restricts cross-border flow of personal data.The U.S.tends to protect personal data through industry self-regulation and government law enforcement.At the same time,these two paths also merge and supplement with each other.Based on this,China needs to learn from the legal regulatory paths of the EU and the US,respectively,to establish a legal idea that places equal emphasis on personal data protection and the development of the information industry.In terms of domestic law,the Cybersecurity Law of the People's Republic of China needs to be improved and supplemented by relevant supporting legislation to improve the operability of the law;the industry self-discipline guidelines should be established;and various types of cross-border data need to be classified and supervised.In terms of international law,it is necessary to participate in international cooperation based on the priority of data sovereignty and promote the signing of bilateral,multilateral agreements,and international treaties on the cross-border flow of personal data.

Ad-hoc combination and analysis of heterogeneous and distributed spatial data for environmental monitoring-design and prototype of a web-based solution

With regard to a multi-dimensional and multi-facetted implementation of the vision of a Digital Earth,capabilities to combine and analyze heterogeneous spatial data sources on the web are becoming increasingly important.In this article,an online system is conceptualized and implemented to facilitate spatial data analysis and decision making specifically for environmental applications.It supports a dynamic search and binding of suitable geoprocessing functionality with respect to the given input data and target description.Geoprocessing patterns are used to create an application-oriented abstraction layer on top of generic geoprocessing services available on the web.As an application scenario the determination and quality assessment for water body structures is taken.For this use case authoritative data,remote sensing imagery and citizen science data gets combined to gain a comprehensive picture of the various spatial,temporal and thematic aspects influencing the quality of inland waters.The prototypical implementation makes use of open standards to facilitate the integration with existing spatial data infrastructures.

“EII META-MODEL” ON INTEGRATION FRAMEWORK FOR VIABLE ENTERPRISE SYSTEMS——CITY PLANNING METAPHOR BASED ON STRUCTURAL SIMILARITY

Enterprise systems must have the structure to adapt the change of business environment. When rebuilding enterprise system to meet the extended operational boundaries, the concept of IT city planning is applicable and effective. The aim of this paper is to describe the architectural approach from the integrated information infrastructure (In3) standpoint and to propose for applying the 'City Planning' concept for rebuilding 'inter-application spaghetti' enterprise systems. This is mainly because the portion of infrastructure has increased with the change of information systems from centralized systems to distributed and open systems. As enterprise systems have involved heterogeneity or architectural black box in them, it may be required the integration framework (meta-architecture) as a discipline based on heterogeneity that can provide comprehensive view of the enterprise systems. This paper proposes 'EII Meta-model' as the integration framework that can optimize the overall enterprise systems from the IT city planning point of view. EII Meta-model consists of 'Integrated Information Infrastructure Map (In3-Map)', 'Service Framework' and 'IT Scenario'. It would be applicable and effective for the viable enterprise, because it has the mechanism to adapt the change. Finally, we illustrate a case of information system in an online securities company and demonstrate applicability and effectiveness of EII Meta-model to meet their business goals.