42,646 research outputs found
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Publication and Protection of Sensitive Site Information in a Grid Infrastructure
In order to create a successful grid infrastructure, sites and resource providers must be able to publish information about their underlying resources and services. This information makes it easier for users and virtual organizations to make intelligent decisions about resource selection and scheduling, and can be used by the grid infrastructure for accounting and troubleshooting services. However, such an outbound stream may include data deemed sensitive by a resource-providing site, exposing potential security vulnerabilities or private user information to the world at large, including malicious entities. This study analyzes the various vectors of information being published from sites to grid infrastructures. In particular, it examines the data being published to, and collected by the Open Science Grid, including resource selection, monitoring, accounting, troubleshooting, logging and site verification data. We analyze the risks and potential threat models posed by the publication and collection of such data. We also offer some recommendations and best practices for sites and grid infrastructures to manage and protect sensitive data
Towards a Secure Smart Grid Storage Communications Gateway
This research in progress paper describes the role of cyber security measures
undertaken in an ICT system for integrating electric storage technologies into
the grid. To do so, it defines security requirements for a communications
gateway and gives detailed information and hands-on configuration advice on
node and communication line security, data storage, coping with backend M2M
communications protocols and examines privacy issues. The presented research
paves the road for developing secure smart energy communications devices that
allow enhancing energy efficiency. The described measures are implemented in an
actual gateway device within the HORIZON 2020 project STORY, which aims at
developing new ways to use storage and demonstrating these on six different
demonstration sites.Comment: 6 pages, 2 figure
Grid-enabled Workflows for Industrial Product Design
This paper presents a generic approach for developing and using Grid-based workflow technology for enabling cross-organizational engineering applications. Using industrial product design examples from the automotive and aerospace industries we highlight the main requirements and challenges addressed by our approach and describe how it can be used for enabling interoperability between heterogeneous workflow engines
CERN openlab Whitepaper on Future IT Challenges in Scientific Research
This whitepaper describes the major IT challenges in scientific research at CERN and several other European and international research laboratories and projects. Each challenge is exemplified through a set of concrete use cases drawn from the requirements of large-scale scientific programs. The paper is based on contributions from many researchers and IT experts of the participating laboratories and also input from the existing CERN openlab industrial sponsors. The views expressed in this document are those of the individual contributors and do not necessarily reflect the view of their organisations and/or affiliates
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Geospatial multi-criteria analysis for identifying high priority clean energy investment opportunities: A case study on land-use conflict in Bangladesh
Bangladesh is a globally important emerging economy with rapidly increasing energy demand. The Bangladeshi government's primary capacity expansion plan is to install 13.3 GW of new coal by 2021, including the 1.3 GW Rampal coal power plant to be developed in the Sundarbans. Inadequate geospatial and economic information on clean energy investment opportunities are often a significant barrier for policy makers. Our study helps fill this gap by applying a new method to assess energy investment opportunities, with focus on understanding land-use conflicts, particularly important in this context as Bangladesh is constrained on land for agriculture, human settlements, and ecological preservation. By extending a geospatial multi-criteria analysis model (MapRE) we analyze the cost of various renewable energy generation technologies based on resource availability and key siting criteria such as proximity to transmission and exclusion from steep slopes, dense settlements or ecologically sensitive areas. We find there is more utility-scale solar potential than previously estimated, which can be developed at lower costs than coal power and with minimal cropland tradeoff. We also find significant potential for decentralized roof-top solar in commercial and residential areas. Even with a conservative land use program that reserves maximum land for agriculture and human settlement, there is more renewable energy capacity than needed to support Bangladeshi growth. This study provides critical and timely information for capacity expansion planning in South Asia and demonstrates the use of geospatial models to support decision-making in data-limited contexts
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Privacy In The Smart Grid: An Information Flow Analysis
Project Final Report prepared for CIEE and California Energy Commissio
SciTokens: Capability-Based Secure Access to Remote Scientific Data
The management of security credentials (e.g., passwords, secret keys) for
computational science workflows is a burden for scientists and information
security officers. Problems with credentials (e.g., expiration, privilege
mismatch) cause workflows to fail to fetch needed input data or store valuable
scientific results, distracting scientists from their research by requiring
them to diagnose the problems, re-run their computations, and wait longer for
their results. In this paper, we introduce SciTokens, open source software to
help scientists manage their security credentials more reliably and securely.
We describe the SciTokens system architecture, design, and implementation
addressing use cases from the Laser Interferometer Gravitational-Wave
Observatory (LIGO) Scientific Collaboration and the Large Synoptic Survey
Telescope (LSST) projects. We also present our integration with widely-used
software that supports distributed scientific computing, including HTCondor,
CVMFS, and XrootD. SciTokens uses IETF-standard OAuth tokens for
capability-based secure access to remote scientific data. The access tokens
convey the specific authorizations needed by the workflows, rather than
general-purpose authentication impersonation credentials, to address the risks
of scientific workflows running on distributed infrastructure including NSF
resources (e.g., LIGO Data Grid, Open Science Grid, XSEDE) and public clouds
(e.g., Amazon Web Services, Google Cloud, Microsoft Azure). By improving the
interoperability and security of scientific workflows, SciTokens 1) enables use
of distributed computing for scientific domains that require greater data
protection and 2) enables use of more widely distributed computing resources by
reducing the risk of credential abuse on remote systems.Comment: 8 pages, 6 figures, PEARC '18: Practice and Experience in Advanced
Research Computing, July 22--26, 2018, Pittsburgh, PA, US
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