scholarly journals SPIDE: sybil-proof, incentivized data exchange

2021 ◽  
Author(s):  
Rafał Skowroński ◽  
Jerzy Brzeziński
Keyword(s):  
Open Access ◽  
Information Exchange ◽  
Data Exchange ◽  
Third Parties ◽  
Extrinsic Information ◽  
Consensus Protocol ◽  
Reward Function ◽  
Data Store ◽  
Exchange Apparatus ◽  
Provably Secure

AbstractDecentralized, open-access blockchain systems opened up new, exciting possibilities—all without reliance on trusted third parties. Regardless of the employed consensus protocol, the overall security, decentralization and effectiveness of such systems, largely depend upon properly structured incentives. Indeed, as has been previously spotted by Babaiaff et al. Bitcoin-like systems, oftentimes lack some of these. Specifically, current blockchain-systems fail to incentivize one of their crucial aspects–the underlying data exchange. As we rationalize, proper incentivization of that layer could lead to lower transactions’ confirmation-times, improved finalization guarantees and at the same time to discouragement of malicious behaviours such as block-withholding attacks. Indeed, incentivization of the data-exchange layer allows the system to remain operational when all agents, including routing nodes, are assumed to be rational. In this work, while focusing on the problem of sybil-proof data exchange, we revisit previous approaches, showcasing their shortcomings and lay forward the first information exchange framework; with integrated routing and reward-function mechanics, provably secure in thwarting Sybil-nodes in 1-connected or eclipsed networks. The framework neither requires nor assumes any kind of constraints in regard to the network’s topology (i.e. the network is modelled as a random-connected graph) and rewards information propagators through a system-intrinsic virtual asset maintained by the decentralized state-machine. The proposal, while being storage and transmission efficient is suitable for rewarding not only consensus-related datagrams (both data-blocks and transactions) but consensus-extrinsic information as well, thus facilitating an universal sybil-proof data-exchange apparatus, provably valid under the assumption of existence of a data store whose property of non-malleability emerges as time approaches infinity. Our research was conducted under two scenarios—with round leader known and unknown in advance of each transactional round.

scholarly journals Maturity assessment of Kenya’s health information system interoperability readiness

2021 ◽  
Vol 28 (1) ◽  
pp. e100241
Author(s):  
Job Nyangena ◽  
Rohini Rajgopal ◽  
Elizabeth Adhiambo Ombech ◽  
Enock Oloo ◽  
Humphrey Luchetu ◽  
...  
Keyword(s):  
Health Information ◽  
Information Exchange ◽  
Working Group ◽  
Data Exchange ◽  
Enterprise Architecture ◽  
Health Information Exchange ◽  
Digital Health ◽  
Health Information System ◽  
Maturity Level ◽  
Technical Standards

BackgroundThe use of digital technology in healthcare promises to improve quality of care and reduce costs over time. This promise will be difficult to attain without interoperability: facilitating seamless health information exchange between the deployed digital health information systems (HIS).ObjectiveTo determine the maturity readiness of the interoperability capacity of Kenya’s HIS.MethodsWe used the HIS Interoperability Maturity Toolkit, developed by MEASURE Evaluation and the Health Data Collaborative’s Digital Health and Interoperability Working Group. The assessment was undertaken by eHealth stakeholder representatives primarily from the Ministry of Health’s Digital Health Technical Working Group. The toolkit focused on three major domains: leadership and governance, human resources and technology.ResultsMost domains are at the lowest two levels of maturity: nascent or emerging. At the nascent level, HIS activities happen by chance or represent isolated, ad hoc efforts. An emerging maturity level characterises a system with defined HIS processes and structures. However, such processes are not systematically documented and lack ongoing monitoring mechanisms.ConclusionNone of the domains had a maturity level greater than level 2 (emerging). The subdomains of governance structures for HIS, defined national enterprise architecture for HIS, defined technical standards for data exchange, nationwide communication network infrastructure, and capacity for operations and maintenance of hardware attained higher maturity levels. These findings are similar to those from interoperability maturity assessments done in Ghana and Uganda.

scholarly journals Energy Efficiency Analysis by Game Theoretic Approach in the Next Generation Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Energy Efficiency ◽  
Open Access ◽  
Spectrum Sharing ◽  
Data Exchange ◽  
Blocking Probability ◽  
Base Station ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Access Mode ◽  
Game Theoretic

<div>In downlink orthogonal frequency division multiple access (OFDMA) networks, an effective way of using the limited wireless spectrum resources can significantly improve network response. This paper presents a game-theoretic scheme with anticoordinated players by incorporating adaptation of femto base station (FBS) transmit power, attenuation of interference and utility function for open access mode and closed access mode respectively. The deployment of femtocells in the networks is to produce improved energy efficiency (EE) and optimized reponse of payoff function. In open access mode, each user belongs to the operator’s network can connect to the FBS and in closed access case, only a specified set of users can privately couple to the FBS whereas in the early access scenario it only allows authentic subscribers to take the advantage of femtocell networks. Additionally, the operating principle of spectrum sharing scheme has been discussed in which FBS as a player acquire knowledge from utility responses of their strategic communications and revise their strategies at each level of the game process. Here, an FBS is regarded as a player in the game to select the users who are satisfied to a greatest extent and an FBS plays a role of mentor. Thereafter, the equilibrium concept has been invoked to aid the anti-coordinated players for the strategies. Besides, a femtocell power adaptation algorithm has also been introduced based upon the set of enabled femtocells who can be used to retain its blocking probability that guarantees convergence to the stable strategy of the game, where the FBS monitors the subscribers’ actions and gives only limited data exchange. The simulations demonstrate that the proposed algorithm attains a high quality performance such as rapid convergence, interference attenuation to a greatest extent, noticeable EE improvement etc. Finally, validate the simulation results with its rarely studied extension in cognitive femtocell networks.</div>

scholarly journals Nova Genesis - An Advanced Architecture for Internet of Things

2020 ◽  
Vol 9 (1) ◽  
pp. 1661-1666
Keyword(s):  
Information Exchange ◽  
Data Exchange ◽  
Service Oriented Architecture ◽  
Future Internet ◽  
Limiting Factor ◽  
Efficient Storage ◽  
Efficient Data ◽  
Service Oriented ◽  
New Applications ◽  
Control Management

The Internet has become the most important medium for information exchange and the core communication environment for business relations as well as for social interactions. The current internet architecture itself might become the limiting factor of Internet growth and deployment of new applications including 5G and future internet. Architectural limitations of internet include weak security, lack of efficient storage and caching, data distribution and traceability issues, lack of interoperability and so on. The proposed system overcomes these limitations by an alternate architecture for internet called NovaGenesis. This architecture integrates the concepts of Information Centric Networking (ICN), Service Oriented Architecture (SOA), network caching and name based routing. ICN evolve internet from a host-centric model to a content-centric model through efficient data exchange, storage and processing. SOA enables software-control/management of network devices based on service requirements. Network caching improves performance in terms of throughput, network traffic and retrieval delay. Name based routing is for discovering and delivering of data. The framework proposed increases the scalability and reliability of the delivery of IoT data for services.

scholarly journals Energy Efficiency Analysis by Game Theoretic Approach in the Next Generation Network

2021 ◽  
Author(s):  
Joydev Ghosh
Keyword(s):  
Energy Efficiency ◽  
Open Access ◽  
Spectrum Sharing ◽  
Data Exchange ◽  
Blocking Probability ◽  
Base Station ◽  
Theoretic Approach ◽  
Femtocell Networks ◽  
Access Mode ◽  
Game Theoretic

<div>In downlink orthogonal frequency division multiple access (OFDMA) networks, an effective way of using the limited wireless spectrum resources can significantly improve network response. This paper presents a game-theoretic scheme with anticoordinated players by incorporating adaptation of femto base station (FBS) transmit power, attenuation of interference and utility function for open access mode and closed access mode respectively. The deployment of femtocells in the networks is to produce improved energy efficiency (EE) and optimized reponse of payoff function. In open access mode, each user belongs to the operator’s network can connect to the FBS and in closed access case, only a specified set of users can privately couple to the FBS whereas in the early access scenario it only allows authentic subscribers to take the advantage of femtocell networks. Additionally, the operating principle of spectrum sharing scheme has been discussed in which FBS as a player acquire knowledge from utility responses of their strategic communications and revise their strategies at each level of the game process. Here, an FBS is regarded as a player in the game to select the users who are satisfied to a greatest extent and an FBS plays a role of mentor. Thereafter, the equilibrium concept has been invoked to aid the anti-coordinated players for the strategies. Besides, a femtocell power adaptation algorithm has also been introduced based upon the set of enabled femtocells who can be used to retain its blocking probability that guarantees convergence to the stable strategy of the game, where the FBS monitors the subscribers’ actions and gives only limited data exchange. The simulations demonstrate that the proposed algorithm attains a high quality performance such as rapid convergence, interference attenuation to a greatest extent, noticeable EE improvement etc. Finally, validate the simulation results with its rarely studied extension in cognitive femtocell networks.</div>

Model-based Validation of Business Processes

2012 ◽  
pp. 165-183 ◽  
Author(s):  
Alireza Pourshahid ◽  
Liam Peyton ◽  
Sepideh Ghanavati ◽  
Daniel Amyot ◽  
Pengfei Chen ◽  
...  
Keyword(s):  
Data Warehouse ◽  
Business Process ◽  
Information Exchange ◽  
Customer Value ◽  
Data Exchange ◽  
Business Processes ◽  
Business Strategies ◽  
Legal Compliance ◽  
Critical Elements ◽  
Model Based

Validation should be done in the context of understanding how a business process is intended to contribute to the business strategies of an organization. Validation can take place along a variety of dimensions including legal compliance, financial cost, customer value, and service quality. A business process modeling tool cannot anticipate all the ways in which a business process might need to be validated. However, it can provide a framework for extending model elements to represent context for a business process. It can also support information exchange to facilitate validation with other tools and systems. This chapter demonstrates a model-based approach to validation using a hospital approval process for accessing patient data in a data warehouse. An extensible meta-model, a flexible data exchange layer, and linkage between business processes and enterprise context are shown to be the critical elements in model-based business process validation.

Sensed Data Sharing in Cloud Federation for Advances in Health Information Exchange

2013 ◽  
Vol 3 (4) ◽  
pp. 36-50
Author(s):  
Antonio Celesti ◽  
Maria Fazio ◽  
Antonio Puliafito ◽  
Massimo Villari
Keyword(s):  
Data Model ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Distributed Approach ◽  
Efficient Management ◽  
Sensing Systems ◽  
New Information ◽  
Open Source Framework ◽  
Administrative Domains

In this paper the authors focus on sensing systems supporting data exchange among several healthcare administrative domains. The challenge in this area is twofold: efficient management of a huge amount of data produced by medical devices, bio-sensors and information systems, sharing sensed data for scientific and clinical purposes. The authors present a new information system that exploits Cloud computing capabilities to overcome such issues, also guaranteeing patients' privacy. Their proposal integrates different healthcare institutions into a federated environment, thus establishing a trust context among the institutions themselves. The storage service is designed according to a fully distributed approach and it is based on the wide-used Open Source framework Hadoop, which is enriched to establish a compelling federated system. They adopt the XRI technology to formalize an XML-based data model which allows to simplify the classification, searching and retrieval of medical data.

Data Innovations for Transboundary Freshwater Resources Management: Are Obligations Related to Information Exchange Still Needed?

2020 ◽  
Vol 4 (4) ◽  
pp. 3-78 ◽  
Author(s):  
Christina Leb
Keyword(s):  
Spatial Data ◽  
Information Exchange ◽  
Data Exchange ◽  
Data Availability ◽  
Water Law ◽  
Space Technology ◽  
Time Data ◽  
Related Data ◽  
International Water Law ◽  
International Water

AbstractCross-border data and information exchange is one of the most challenging issues for transboundary water management. While the regular exchange of data and information has been identified as one of the general principles of international water law, only a minority of treaties include direct obligations related to mutual data exchange. Technological innovations related to real-time data availability, space technology and earth observation have led to an increase in quality and availability of hydrological, meteorological and geo-spatial data. These innovations open new avenues for access to water related data and transform data and information exchange globally. This monograph is an exploratory assessment of the potential impacts of these disruptive technologies on data and information exchange obligations in international water law.

scholarly journals Model-Based Feature Information Network (MFIN): A Digital Twin Framework to Integrate Location-Specific Material Behavior Within Component Design, Manufacturing, and Performance Analysis

2020 ◽  
Vol 9 (4) ◽  
pp. 394-409
Author(s):  
Saikiran Gopalakrishnan ◽  
Nathan W. Hartman ◽  
Michael D. Sangid
Keyword(s):  
Information Exchange ◽  
Computer Aided Design ◽  
Data Exchange ◽  
Relevant Information ◽  
Material Behavior ◽  
Information Network ◽  
Digital Twin ◽  
Model Based ◽  
Feature Information ◽  
Damage Tolerant

AbstractThe digital transformation of manufacturing requires digitalization, including automatic and efficient data exchange. Model-based definitions (MBDs) capture digital product definitions, in order to eliminate error-prone information exchange associated with traditional paper-based drawings and to provide contextual information through additional metadata. The flow of MBDs extends throughout the product lifecycle (including the design, analysis, manufacturing, in service life, and retirement stages) and can be extended beyond the typical geometry and tolerance information within a computer-aided design. In this paper, the MBDs are extended to include materials information, via dynamic linkages. To this end, a model-based feature information network (MFIN) is created to provide a comprehensive framework that facilitates storing, updating, searching, and retrieving of relevant information across a product’s lifecycle. The use case of a damage tolerant analysis for a compressor bladed-disk (blisk) is demonstrated, in Ti-6Al-4V blade(s) linear friction welded to the Ti-6Al-4V disk, creating well-defined regions exhibiting grain refinement and high residuals stresses. By capturing the location-specific microstructure and residual stress values at the weld regions, this information is accessed within the MFIN and used for downstream damage tolerant analysis. The introduction of the MFIN framework facilitates access to dynamically evolving data for use within physics-based models (resulting in the opportunity to reduce uncertainty in subsequent prognosis analyses), thereby enabling a digital twin description of the component or system.

scholarly journals A deep q-learning-based optimization of the inventory control in a linear process chain

2020 ◽  
Author(s):  
M.-A. Dittrich ◽  
S. Fohlmeister
Keyword(s):  
Inventory Control ◽  
Data Exchange ◽  
Linear Process ◽  
Process Chain ◽  
Production Networks ◽  
Initial State ◽  
Q Learning ◽  
Reward Function ◽  
Decision Optimization ◽  
Process Chains

AbstractDue to growing globalized markets and the resulting globalization of production networks across different companies, inventory and order optimization is becoming increasingly important in the context of process chains. Thus, an adaptive and continuously self-optimizing inventory control on a global level is necessary to overcome the resulting challenges. Advances in sensor and communication technology allow companies to realize a global data exchange to achieve a holistic inventory control. Based on deep q-learning, a method for a self-optimizing inventory control is developed. Here, the decision process is based on an artificial neural network. Its input is modeled as a state vector that describes the current stocks and orders within the process chain. The output represents a control vector that controls orders for each individual station. Furthermore, a reward function, which is based on the resulting storage and late order costs, is implemented for simulations-based decision optimization. One of the main challenges of implementing deep q-learning is the hyperparameter optimization for the training process, which is investigated in this paper. The results show a significant sensitivity for the leaning rate α and the exploration rate ε. Based on optimized hyperparameters, the potential of the developed methodology could be shown by significantly reducing the total costs compared to the initial state and by achieving stable control behavior for a process chain containing up to 10 stations.

Sign in / Sign up

Export Citation Format

Share Document