Issue
Dagstuhl Reports, Volume 6, Issue 9
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Volume:
Dagstuhl Reports, Volume 6
Journal: Dagstuhl Reports (DagRep)
Event
Dagstuhl Seminars 16361, 16362, 16371, 16372, 16381, 16382Publication Details
- published at: 2017-02-21
- Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
- DBLP: db/journals/dagstuhl-reports/dagstuhl-reports6
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Document
Complete Issue
Dagstuhl Reports, Volume 6, Issue 9, September 2016, Complete Issue
Abstract
Dagstuhl Reports, Volume 6, Issue 9, September 2016, Complete Issue
Cite as
Dagstuhl Reports, Volume 6, Issue 9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{DagRep.6.9,
title = {{Dagstuhl Reports, Volume 6, Issue 9, September 2016, Complete Issue}},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9},
URN = {urn:nbn:de:0030-drops-69740},
doi = {10.4230/DagRep.6.9},
annote = {Keywords: Dagstuhl Reports, Volume 6, Issue 9, September 2016, Complete Issue}
}
Document
Front Matter
Dagstuhl Reports, Table of Contents, Volume 6, Issue 9, 2016
Abstract
Table of Contents, Frontmatter
Cite as
Dagstuhl Reports, Volume 6, Issue 9, pp. i-ii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{DagRep.6.9.i,
title = {{Dagstuhl Reports, Table of Contents, Volume 6, Issue 9, 2016}},
pages = {i--ii},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.i},
URN = {urn:nbn:de:0030-drops-69731},
doi = {10.4230/DagRep.6.9.i},
annote = {Keywords: Dagstuhl Reports, Table of Contents, Volume 6, Issue 9, 2016}
}
Document
Network Attack Detection and Defense (Dagstuhl Seminar 16361)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16361 "Network Attack Detection and Defense: Security Challenges and Opportunities of Software-Defined Networking".
Software-defined networking (SDN) has attracted a great attention both in industry and academia since the beginning of the decade. This attention keeps undiminished. Security-related aspects of software-defined networking have only been considered more recently. Opinions differ widely. The main objective of the seminar was to discuss the various contrary facets of SDN security. The seminar continued the series of Dagstuhl events Network Attack Detection and Defense held in 2008, 2012, and 2014. The objectives of the seminar were threefold, namely (1) to discuss the security challenges of SDN, (2) to debate strategies to monitor and protect SDN-enabled networks, and (3) to propose methods and strategies to leverage on the flexibility brought by SDN for designing new security mechanisms. At the seminar, which brought together participants from academia and industry, we discussed the advantages and disadvantages of using software-defined networks from the security point of view. We agreed that SDN provides new possibilities to better secure networks, but also offers a number of serious security problems which require further research. The outcome of these discussions and the proposed research directions are presented in this report.
Cite as
Marc C. Dacier, Sven Dietrich, Frank Kargl, and Hartmut König. Network Attack Detection and Defense (Dagstuhl Seminar 16361). In Dagstuhl Reports, Volume 6, Issue 9, pp. 1-28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{dacier_et_al:DagRep.6.9.1,
author = {Dacier, Marc C. and Dietrich, Sven and Kargl, Frank and K\"{o}nig, Hartmut},
title = {{Network Attack Detection and Defense (Dagstuhl Seminar 16361)}},
pages = {1--28},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
editor = {Dacier, Marc C. and Dietrich, Sven and Kargl, Frank and K\"{o}nig, Hartmut},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.1},
URN = {urn:nbn:de:0030-drops-69122},
doi = {10.4230/DagRep.6.9.1},
annote = {Keywords: attack detection, denial-of-service attack detection and response, intrusion detection, malware assessment, network monitoring, openflow protocol, programmable networks, security, software-defined networking, targeted attacks, vulnerability analysis}
}
Document
Robustness in Cyber-Physical Systems (Dagstuhl Seminar 16362)
Abstract
Electronically controlled systems have become pervasive in modern society and are increasingly being used to control safety-critical applications, such as medical devices and transportation systems. At the same time, these systems are increasing in complexity at an alarming rate, making it difficult to produce system designs with guaranteed robust performance. Cyber-physical systems (CPS) is a new multi-disciplinary field aimed at providing a rigorous framework for designing and analyzing these systems, and recent developments in CPS-related fields provide techniques to increase robustness in the design and analysis of complex systems. This seminar brought together researchers from both academia and industry working in hybrid control systems, mechatronics, formal methods, and real-time embedded systems. Participants identified and discussed newly available techniques related to robust design and analysis that could be applied to open issues in the area of CPS and identified open issues and research questions that require collaboration between the communities. This report documents the program and the outcomes of Dagstuhl Seminar 16362 "Robustness in Cyber-Physical Systems".
Cite as
Martin Fränzle, James Kapinski, and Pavithra Prabhakhar. Robustness in Cyber-Physical Systems (Dagstuhl Seminar 16362). In Dagstuhl Reports, Volume 6, Issue 9, pp. 29-45, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{franzle_et_al:DagRep.6.9.29,
author = {Fr\"{a}nzle, Martin and Kapinski, James and Prabhakhar, Pavithra},
title = {{Robustness in Cyber-Physical Systems (Dagstuhl Seminar 16362)}},
pages = {29--45},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
editor = {Fr\"{a}nzle, Martin and Kapinski, James and Prabhakhar, Pavithra},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.29},
URN = {urn:nbn:de:0030-drops-69135},
doi = {10.4230/DagRep.6.9.29},
annote = {Keywords: aerospace, automotive, cyber-physical systems, fault tolerance, formal verification, real-time and embedded systems, robustness}
}
Document
Public-Key Cryptography (Dagstuhl Seminar 16371)
Abstract
This report documents the program and results of Dagstuhl seminar 16731 “Public-Key Cryptography” which took place September 11th -16th, 2016. The goal of the seminar was to bring together different sub areas from public-key cryptography and to promote research among these areas.
Cite as
Marc Fischlin, Alexander May, David Pointcheval, and Tal Rabin. Public-Key Cryptography (Dagstuhl Seminar 16371). In Dagstuhl Reports, Volume 6, Issue 9, pp. 46-58, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{fischlin_et_al:DagRep.6.9.46,
author = {Fischlin, Marc and May, Alexander and Pointcheval, David and Rabin, Tal},
title = {{Public-Key Cryptography (Dagstuhl Seminar 16371)}},
pages = {46--58},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
editor = {Fischlin, Marc and May, Alexander and Pointcheval, David and Rabin, Tal},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.46},
URN = {urn:nbn:de:0030-drops-69147},
doi = {10.4230/DagRep.6.9.46},
annote = {Keywords: cryptanalysis, encryption, homomorphic encryption, key exchange, obfuscation, signatures}
}
Document
Uncertainty Quantification and High Performance Computing (Dagstuhl Seminar 16372)
Abstract
High performance computing is a key technology to solve large-scale real-world simulation problems on parallel computers. Simulations for a fixed, deterministic set of parameters are current state of the art. However, there is a growing demand in methods to appropriately cope with uncertainties in those input parameters. This is addressed in the developing research field of uncertainty quantification. Here, Monte-Carlo methods are easy to parallelize and thus fit well for parallel computing. However, their weak approximation capabilities lead to inaccurate results. The Dagstuhl Seminar 16372 "Uncertainty Quantification and High Performance Computing" brought together experts in the fields of uncertainty quantification and high performance computing. Discussions on the latest numerical techniques beyond pure Monte-Carlo and with strong approximation capabilities were fostered. This has been put in context of real-world problems on parallel computers.
Cite as
Vincent Heuveline, Michael Schick, Clayton Webster, and Peter Zaspel. Uncertainty Quantification and High Performance Computing (Dagstuhl Seminar 16372). In Dagstuhl Reports, Volume 6, Issue 9, pp. 59-73, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{heuveline_et_al:DagRep.6.9.59,
author = {Heuveline, Vincent and Schick, Michael and Webster, Clayton and Zaspel, Peter},
title = {{Uncertainty Quantification and High Performance Computing (Dagstuhl Seminar 16372)}},
pages = {59--73},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
editor = {Heuveline, Vincent and Schick, Michael and Webster, Clayton and Zaspel, Peter},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.59},
URN = {urn:nbn:de:0030-drops-69158},
doi = {10.4230/DagRep.6.9.59},
annote = {Keywords: high performance computing, parallelization, stochastic modeling, uncertainty quantification}
}
Document
SAT and Interactions (Dagstuhl Seminar 16381)
Abstract
This report documents the programme and outcomes of Dagstuhl Seminar 16381 "SAT and Interactions". The seminar brought together researchers from different areas from theoretical computer science involved with various aspects of satisfiability.
A key objective of the seminar has been to initiate or consolidate discussions among the different groups for a fresh attack on one of the most important problems in theoretical computer science and mathematics.
Cite as
Olaf Beyersdorff, Nadia Creignou, Uwe Egly, and Heribert Vollmer. SAT and Interactions (Dagstuhl Seminar 16381). In Dagstuhl Reports, Volume 6, Issue 9, pp. 74-93, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{beyersdorff_et_al:DagRep.6.9.74,
author = {Beyersdorff, Olaf and Creignou, Nadia and Egly, Uwe and Vollmer, Heribert},
title = {{SAT and Interactions (Dagstuhl Seminar 16381)}},
pages = {74--93},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
editor = {Beyersdorff, Olaf and Creignou, Nadia and Egly, Uwe and Vollmer, Heribert},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.74},
URN = {urn:nbn:de:0030-drops-69116},
doi = {10.4230/DagRep.6.9.74},
annote = {Keywords: Combinatorics, Computational Complexity, P vs. NP, Proof Complexity, Quantified Boolean formulas, SAT-solvers, satisfiability problem}
}
Document
Foundations of Unsupervised Learning (Dagstuhl Seminar 16382)
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 16382 "Foundations of Unsupervised Learning". Unsupervised learning techniques are frequently used in practice of data analysis. However, there is currently little formal guidance as to how, when and to what effect to use which unsupervised learning method. The goal of the seminar was to initiate a broader and more systematic research on the foundations of unsupervised learning with the ultimate aim to provide more support to practitioners. The seminar brought together academic researchers from the fields of theoretical computer science and statistics as well as some researchers from industry.
Cite as
Maria-Florina Balcan, Shai Ben-David, Ruth Urner, and Ulrike von Luxburg. Foundations of Unsupervised Learning (Dagstuhl Seminar 16382). In Dagstuhl Reports, Volume 6, Issue 9, pp. 94-109, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)
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@Article{balcan_et_al:DagRep.6.9.94,
author = {Balcan, Maria-Florina and Ben-David, Shai and Urner, Ruth and von Luxburg, Ulrike},
title = {{Foundations of Unsupervised Learning (Dagstuhl Seminar 16382)}},
pages = {94--109},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2017},
volume = {6},
number = {9},
editor = {Balcan, Maria-Florina and Ben-David, Shai and Urner, Ruth and von Luxburg, Ulrike},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.6.9.94},
URN = {urn:nbn:de:0030-drops-69542},
doi = {10.4230/DagRep.6.9.94},
annote = {Keywords: Machine learning, theory of computing, unsupervised learning, representation learning}
}