Secure data sharing and processing in heterogeneous clouds

The extensive cloud adoption among the European Public Sector Players empowered them to own and operate a range of cloud infrastructures. These deployments vary both in the size and capabilities, as well as in the range of employed technologies and processes. The public sector, however, lacks the necessary technology to enable effective, interoperable and secure integration of a multitude of its computing clouds and services. In this work we focus on the federation of private clouds and the approaches that enable secure data sharing and processing among the collaborating infrastructures and services of public entities. We investigate the aspects of access control, data and security policy languages, as well as cryptographic approaches that enable fine-grained security and data processing in semi-trusted environments. We identify the main challenges and frame the future work that serve as an enabler of interoperability among heterogeneous infrastructures and services. Our goal is to enable both security and legal conformance as well as to facilitate transparency, privacy and effectivity of private cloud federations for the public sector needs. © 2015 The Authors

Modeling 4.0: Conceptual Modeling in a Digital Era

Digitization provides entirely new affordances for our economies and societies. This leads to previously unseen design opportunities and complexities as systems and their boundaries are re-defined, creating a demand for appropriate methods to support design that caters to these new demands. Conceptual modeling is an established means for this, but it needs to be advanced to adequately depict the requirements of digitization. However, unlike the actual deployment of digital technologies in various industries, the domain of conceptual modeling itself has not yet undergone a comprehensive renewal in light of digitization. Therefore, inspired by the notion of Industry 4.0, an overarching concept for digital manufacturing, in this commentary paper, we propose Modeling 4.0 as the notion for conceptual modeling mechanisms in a digital environment. In total, 12 mechanisms of conceptual modeling are distinguished, providing ample guidance for academics and professionals interested in ensuring that modeling techniques and methods continue to fit contemporary and emerging requirements

Context-Awareness Enhances 5G Multi-Access Edge Computing Reliability

The fifth generation (5G) mobile telecommunication network is expected to support Multi- Access Edge Computing (MEC), which intends to distribute computation tasks and services from the central cloud to the edge clouds. Towards ultra-responsive, ultra-reliable and ultra-low-latency MEC services, the current mobile network security architecture should enable a more decentralized approach for authentication and authorization processes. This paper proposes a novel decentralized authentication architecture that supports flexible and low-cost local authentication with the awareness of context information of network elements such as user equipment and virtual network functions. Based on a Markov model for backhaul link quality, as well as a random walk mobility model with mixed mobility classes and traffic scenarios, numerical simulations have demonstrated that the proposed approach is able to achieve a flexible balance between the network operating cost and the MEC reliability.Comment: Accepted by IEEE Access on Feb. 02, 201

Blockchain Regulations and Decentralized Applications: Panel Report from AMCIS 2018

Blockchain represents one of the 21st century’s most impactful inventions. In addition to creating cryptocurrencies such as Bitcoin, this technology enables smart contract functionality and supports decentralized, secure, and private transactions. By design, blockchains enable decentralized functionality for many of today’s business applications and transform traditional centralized information systems. In this paper, we summarize four research areas that will appeal to IS scholars that a panel at AMCIS 2018 discussed: 1) cryptocurrency regulation, 2) Etherisc (a smart contract-based application), 3) decentralized blockchain applications in healthcare, and 4) Bitcoin as a blockchain application and issues with decentralization. To account for the European Union’s General Data Protection Regulation’s requirements to provide people with the right to be forgotten and modify personal data, we modified Pedersen et al.’s (2019) framework to accommodate off-chain data storage requirements. We deployed Pedersen et al.’s (2019) modified framework to evaluate whether one can use blockchains for three different applications. We summarize several research questions and present a research agenda that emerged from the issues highlighted during the panel discussion

Pervasive Decentralisation of Digital Infrastructures: A Framework for Blockchain enabled System and Use Case Analysis

Technological innovation and consequential decentralisation are driving forces in the ongoing evolution and increasing openness of digital infrastructures and services. One of the most discussed and allegedly disruptive innovations is the distributed database technology referred to as blockchain. Although it is still in its technological infancy, experimental adoption and customization seem to be in full progress in various potential fields of application ranging from decentralized grids for computation and storage to global financial services. However, the technology and its path of development still entail a lot of common unknowns for practitioners and researchers alike. Especially regarding the question how the technology could amend or be incorporated into the existing landscape of digital services, processes and infrastructures. Hence, in this article we develop an ontology that (1) clearly delineates common terminology, core concepts and components, their relationships as well as innovative features of blockchain technology. It further (2) connects these insights with implications for relevant types of digital market models. Our framework is of high theoretical and practical value as it provides researchers and practitioners a common basis for communication and means for guided analysis of blockchain applicability

Data Mining in Social Networks

The objective of the study is to examine the idea of Big Data and its applications in data mining. The data in the universe is expanding step by step every year and turns into large data. These significant data can be determined to utilize a few data mining undertakings. In short, Big Data can be called as an “asset” and data mining is a technique that is employed to give useful results. This paper implements an HACE algorithm that analysis the structure of big data and presents an efficient data mining technique. This framework model incorporates a mixture of information sources, mining techniques, customer interest, security, and data protection system. The study also analyzes and presents the challenges and issues faced in the big data model