@inproceedings {INPROC-2019-18,
author = {Dominik Lucke and Frank Steimle and Emir Cuk and Michael Luckert and Matthias Schneider and Daniel Schel},
title = {{Implementation of the MIALinx User Interface for Future Manufacturing Environments}},
booktitle = {Proceedings of the 52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019},
publisher = {Elsevier},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Procedia CIRP},
volume = {81},
pages = {606--611},
type = {Konferenz-Beitrag},
month = {Juni},
year = {2019},
doi = {10.1016/j.procir.2019.03.163},
keywords = {Manufacturing; Smart Factory; Industrie 4.0; Manufacturing Service Bus; Rules; Integration; User Interface},
language = {Englisch},
cr-category = {H.4.0 Information Systems Applications General,
I.2.1 Applications and Expert Systems},
ee = {http://www.sciencedirect.com/science/article/pii/S2212827119304688},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {The flexible and easy-to-use integration of production equipment and IT systems
on the shop floor becomes more and more a success factor for manufacturing to
adapt rapidly to changing situations. The approach of the Manufacturing
Integration Assistant (MIALinx) is to simplify this challenge. The integration
steps range from integrating sensors over collecting and rule-based processing
of sensor information to the execution of required actions. This paper presents
the implementation of MIALinx to retrofit legacy machines for Industry 4.0 in a
manufacturing environment and focus on the concept and implementation of the
easy-to-use user interface as a key element.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-18&engl=0}
}
@inproceedings {INPROC-2019-06,
author = {Christoph Stach and Frank Steimle and Clementine Gritti and Bernhard Mitschang},
title = {{PSSST! The Privacy System for Smart Service Platforms: An Enabler for Confidable Smart Environments}},
booktitle = {Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (IoTBDS '19)},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--12},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2019},
keywords = {Privacy; Access Control; Internet of Things; Smart Service Platform; Sensors; Actuators; Stream Processing},
language = {Englisch},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {The Internet of Things and its applications are becoming increasingly popular.
Especially Smart Service Platforms like Alexa are in high demand. Such a
platform retrieves data from sensors, processes them in a back-end, and
controls actuators in accordance with the results. Thereby, all aspects of our
everyday life can be managed. In this paper, we reveal the downsides of this
technology by identifying its privacy threats based on a real-world
application. Our studies show that current privacy systems do not tackle these
issues adequately. Therefore, we introduce PSSST!, a user-friendly and
comprehensive privacy system for Smart Service Platforms limiting the amount of
disclosed private information while maximizing the quality of service at the
same time.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-06&engl=0}
}
@inproceedings {INPROC-2019-02,
author = {Christoph Stach and Frank Steimle},
title = {{Recommender-based Privacy Requirements Elicitation - EPICUREAN: An Approach to Simplify Privacy Settings in IoT Applications with Respect to the GDPR}},
booktitle = {Proceedings of the 34th ACM/SIGAPP Symposium On Applied Computing (PDP)},
publisher = {ACM Press},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--8},
type = {Konferenz-Beitrag},
month = {April},
year = {2019},
keywords = {privacy requirements elicitation; recommender system; knowledge modeling; clustering; association rules; privacy system; IoT; eHealth},
language = {Englisch},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
J.4 Social and Behavioral Sciences,
H.3.3 Information Search and Retrieval},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Due to the Internet of Things (IoT), a giant leap towards a quantified self is
made, i.e., more and more aspects of our lives are being captured, processed,
and analyzed. This has many positive implications, e.g., Smart Health services
help to relieve patients as well as physicians and reduce treatment costs.
However, the price for such services is the disclosure of a lot of private
data. For this reason, Smart Health services were particularly considered by
the European General Data Protection Regulation (GDPR): a data subject's
explicit consent is required when such a service processes his or her data.
However, the elicitation of privacy requirements is a shortcoming in most IoT
privacy systems. Either the user is overwhelmed by too many options or s/he is
not sufficiently involved in the decision process. For this reason, we
introduce EPICUREAN, a recommender-based privacy requirements elicitation
approach. EPICUREAN uses modeling and data mining techniques to determine and
recommend appropriate privacy settings to the user. The user is thus
considerably supported but remains in full control over his or her private
data.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-02&engl=0}
}
@inproceedings {INPROC-2018-24,
author = {Dominik Lucke and Peter Einberger and Daniel Schel and Michael Luckert and Matthias Schneider and Emir Cuk and Thomas Bauernhansl and Matthias Wieland and Frank Steimle and Bernhard Mitschang},
title = {{Implementation of the MIALinx Integration Concept for Future Manufacturing Environments to Enable Retrofitting of Machines}},
booktitle = {Proceedings of the 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME '18); Naples, Italy, July 18-20, 2018},
publisher = {Elsevier},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {596--601},
type = {Konferenz-Beitrag},
month = {Juli},
year = {2018},
doi = {10.1016/j.procir.2019.02.084},
keywords = {Manufacturing; Smart Factory; Industrie 4.0; Manufacturing Service Bus; Rules; Integration; MIALinx},
language = {Englisch},
cr-category = {H.4.0 Information Systems Applications General,
I.2.1 Applications and Expert Systems},
ee = {http://www.sciencedirect.com/science/article/pii/S221282711930201X},
contact = {Frank.Steimle@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Manufacturing has to adapt permanently to changing situations in order to stay
competitive. It demands a flexible and easy-to-use integration of production
equipment and ICT systems on the shop floor. The contribution of this paper is
the presentation of the implementation architecture of the Manufacturing
Integration Assistant (MIALinx) that simplifies this challenge. The integration
steps range from integrating sensors over collecting and rule-based processing
of sensor information to the execution of required actions. Furthermore, we
describe the implementation of MIALinx by commissioning it in a manufacturing
environment to retrofit legacy machines for Industrie 4.0. Finally, we validate
the suitability of our approach by applying our solution in the production
environment of a medium-size company.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-24&engl=0}
}
@inproceedings {INPROC-2018-19,
author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
title = {{THOR - Ein Datenschutzkonzept f{\"u}r die Industrie 4.0: Datenschutzsysteme f{\"u}r die Smart Factory zur Realisierung der DSGVO}},
booktitle = {Informatik 2018: Zukunft der Arbeit - Zukunft der Informatik, Tagungsband der 48. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI), 26.09. - 27.09.2018, Berlin.},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Lecture Notes in Informatics (LNI)},
pages = {1--12},
type = {Workshop-Beitrag},
month = {September},
year = {2018},
keywords = {Datenschutz; Internet der Dinge; Sensoren; Industrie 4.0; Datenstr{\"o}me; Smart Devices},
language = {Deutsch},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Der Aufschwung des Internets der Dinge (IoT) sorgt f{\"u}r eine voranschreitende
Digitalisierung. Sensoren in Alltagsgegenst{\"a}nden erfassen unterschiedliche
Aspekte des t{\"a}glichen Lebens. Durch eine Vernetzung dieser Ger{\"a}te, lassen
sich die Daten miteinander kombinieren und daraus neues Wissen generieren. In
der Industrie 4.0 werden beispielsweise die am Produktionsprozess beteiligten
cyber-physischen Systeme dazu genutzt, um mit den von ihnen erfassten Daten
Produktionsprozesse zu optimieren. Da auch der Mensch ein relevanter
Bestandteil des Produktionsprozesses ist, werden z.B. mittels Smart Watches
auch {\"u}ber diesen viele Daten erfasst. Nicht erst mit der Einf{\"u}hrung der neuen
Datenschutzgrundverordnung (DSGVO) sind hierbei allerdings
Datenschutzanforderungen zu beachten: Es m{\"u}ssen nicht nur die privaten Daten
der Nutzer gesch{\"u}tzt werden, sondern es muss auch sichergestellt werden, dass
die Datenverarbeitung und -analyse dadurch so wenig wie m{\"o}glich behindert
werden. Wir stellen hierf{\"u}r ein neuartiges Datenschutzkonzept f{\"u}r die
Industrie 4.0 (THOR) vor, mit dem Kompromisse zwischen erforderlichem
Datenschutz und gew{\"u}nschter Datenqualit{\"a}t gefunden werden k{\"o}nnen, der der
DSGVO gen{\"u}gt.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-19&engl=0}
}
@inproceedings {INPROC-2018-03,
author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
title = {{The Privacy Management Platform: An Enabler for Device Interoperability and Information Security in mHealth Applications}},
booktitle = {Proceedings of the 11th International Conference on Health Informatics (HEALTHINF 2018)},
publisher = {SciTePress},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--12},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2018},
keywords = {mHealth; Device Interoperability; Information Security; COPD; Privacy Management Platform},
language = {Englisch},
cr-category = {H.5.0 Information Interfaces and Presentation General,
K.6.5 Security and Protection,
K.8 Personal Computing},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Chronic diseases are on the rise. Afflicted patients require persistent therapy
and periodic screenings. This causes high treatment costs and overburdened
physicians. Innovative approaches that enable patients to perform treatment
methods on their own are badly needed. Telemedical approaches with the aid of
modern Smartphones connected to medical devices (the so-called mHealth) can be
the answer. However, mHealth apps face two key challenges, namely device
interoperability and information security. In this paper, we describe how the
Privacy Management Platform (PMP) and its extendable Resources can contribute
to these challenges. Therefore, we analyze a real-world mHealth app and derive
generic functional units, each realizing a certain task recurring frequently
within mHealth apps, e.g., metering, data storage, or data transmission. For
each functional unit we provide a PMP Resource, enabling both, device
interoperability and information security. Finally, we revise the analyzed
mHealth app using the Resources in order to evaluate our approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-03&engl=0}
}
@inproceedings {INPROC-2017-41,
author = {Matthias Wieland and Frank Steimle and Bernhard Mitschang and Dominik Lucke and Peter Einberger and Daniel Schel and Michael Luckert and Thomas Bauernhansl},
title = {{Rule-Based Integration of Smart Services Using the Manufacturing Service Bus}},
booktitle = {Proceedings of 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC2017)},
address = {Fremont, USA},
publisher = {IEEE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--8},
type = {Konferenz-Beitrag},
month = {August},
year = {2017},
doi = {10.1109/UIC-ATC.2017.8397529},
keywords = {Rules; Integration; Manufacturing; Smart Factory; Industrie 4.0; Manufacturing Service Bus},
language = {Englisch},
cr-category = {H.4.0 Information Systems Applications General,
I.2.1 Applications and Expert Systems},
ee = {https://ieeexplore.ieee.org/document/8397529/},
contact = {Senden Sie eine E-Mail an Frank.Steimle@informatik.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Factories have to adapt permanently to changing situations in order to stay
competitive. Premise to achieve this objective is up-to-date information on all
levels of a factory and during the product life cycle, so that men and machine
can optimize their activities according to their tasks. One approach to
implement this economically is the massive application of sensors and
information and communication technologies (ICT) leading to a Smart Factory.
This process and related applications are summarized under the term of the
forth industrial revolution (Industrie 4.0). It demands a flexible and
easy-to-use integration of assets on the shop floor with ICT systems. The
contribution of this paper is the MIALinx system that enables all these steps.
The steps range from the integration to the sensing and analyzing of the sensor
data to the execution of required actions. Furthermore, MIALinx provides an
abstract rule based approach for users to model the behavior of the system. The
presented system is based on concepts and technologies of the Internet of
Things and service-oriented middleware. The main users targeted with our system
are small and medium-sized enterprises that do not have the expertise or the
investment possibilities to invest in completely new Industrie 4.0 systems but
rather use their existing production assets and enrich them to achieve
Industrie 4.0 capability.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-41&engl=0}
}
@inproceedings {INPROC-2017-05,
author = {Laura Kassner and Pascal Hirmer and Matthias Wieland and Frank Steimle and Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation}},
booktitle = {Proceedings of the 50th Hawaii International Conference on System Sciences},
publisher = {Online},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--10},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2017},
isbn = {978-0-9981331-0-2},
keywords = {decision support; internet of things; smart manufacturing; social media; text analytics},
language = {Englisch},
cr-category = {E.0 Data General,
H.2 Database Management,
H.3 Information Storage and Retrieval,
H.4 Information Systems Applications},
ee = {http://hdl.handle.net/10125/41355},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Manufacturing environments are socio-technical systems $\backslash$ where people have to
interact with machines to achieve $\backslash$ a common goal. The goal of the fourth
industrial revolution is $\backslash$ to improve their flexibility for mass customization
and rapidly $\backslash$ changing production conditions. As a contribution towards $\backslash$ this
goal, we introduce the Social Factory: a social network $\backslash$ with a powerful
analytics backend to improve the connection $\backslash$ between the persons working in
the production environment, $\backslash$ the manufacturing machines, and the data that is
created $\backslash$ in the process. We represent machines, people and chatbots $\backslash$ for
information provisioning as abstract users in the social $\backslash$ network. We enable
natural language based communication between $\backslash$ them and provide a rich
knowledge base and automated $\backslash$ problem solution suggestions. Access to complex
production $\backslash$ environments thus becomes intuitive, cooperation among users $\backslash$
improves and problems are resolved more easily.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-05&engl=0}
}
@inproceedings {INPROC-2017-04,
author = {Matthias Wieland and Pascal Hirmer and Frank Steimle and Christoph Gr{\"o}ger and Bernhard Mitschang and Eike Rehder and Dominik Lucke and Omar Abdul Rahman and Thomas Bauernhansl},
title = {{Towards a Rule-Based Manufacturing Integration Assistant}},
booktitle = {Proceedings of the 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016); Stuttgart, Germany, May 25-27, 2016},
editor = {Engelbert Westk{\"a}mper and Thomas Bauernhansl},
publisher = {Elsevier},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Procedia CIRP},
volume = {57},
pages = {213--218},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2017},
doi = {10.1016/j.procir.2016.11.037},
keywords = {Rules; Integration; Manufacturing; Smart-Factory; Industrie 4.0},
language = {Englisch},
cr-category = {H.4.0 Information Systems Applications General,
J.2 Physical Sciences and Engineering,
I.2.1 Applications and Expert Systems,
I.2.4 Knowledge Representation Formalisms and Methods},
ee = {http://www.sciencedirect.com/science/article/pii/S221282711631191X},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {Recent developments and steadily declining prices in ICT enable an economic
application of advanced digital tools in wide areas of manufacturing. Solutions
based on concepts and technologies of the Internet of Things or Cyber Physical
Systems can be used to implement monitoring as well as self-organization of
production, maintenance or logistics processes. However, integration of new
digital tools in existing heterogeneous manufacturing IT systems and
integration of machines and devices into manufacturing environments is an
expensive and tedious task. Therefore, integration issues on IT and
manufacturing level significantly prevent agile manufacturing. Especially small
and medium-sized enterprises do not have the expertise or the investment
possibilities to realize such an integration. To tackle this issue, we present
the approach of the Manufacturing Integration Assistant - MIALinx. The
objective is to develop and implement a lightweight and easy-to-use integration
solution for small and medium-sized enterprises based on recent web automation
technologies. MIALinx aims to simplify the integration using simple
programmable, flexible and reusable IF-THEN rules that connect occurring
situations in manufacturing, such as a machine break down, with corresponding
actions, e.g., an automatic maintenance order generation. For this purpose,
MIALinx connects sensors and actuators based on defined rules whereas the rule
set is defined in a domain-specific, easy-to-use manner to enable rule modeling
by domain experts. Through the definition of rule sets, the workers{\^a}
knowledge can be also externalized. Using manufacturing-approved cloud
computing technologies, we enable robustness, security, and a low-effort,
low-cost integration of MIALinx into existing manufacturing environments to
provide advanced digital tools also for small and medium-sized enterprises.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-04&engl=0}
}
@inproceedings {INPROC-2016-42,
author = {Frank Steimle and Matthias Wieland},
title = {{ECHO An mHealth Solution to Support Treatment of Chronic Patients}},
booktitle = {Proceedings of the 8th Central European Workshop on Services and their Composition, ZEUS 2016},
editor = {Christoph Hochreiner and Stefan Schulte},
publisher = {CEUR Workshop Proceedings},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {64--67},
type = {Demonstration},
month = {Februar},
year = {2016},
keywords = {mHealth; eHealth; Monitoring; Cloud Computing; Analysis},
language = {Deutsch},
cr-category = {C.2.4 Distributed Systems,
H.2.8 Database Applications,
J.3 Life and Medical Sciences},
ee = {http://ceur-ws.org/Vol-1562/},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {More and more people all over the world suffer from chronic diseases, like
asthma. The German-Greek bilateral research project Enhancing Chronic Patients
Health Online developed online services for physicians and patients for use on
smart phones or web browsers, in order to improve monitoring of those patients
and to be able to detect possible exacerbations earlier. During the project we
have developed smart phone applications and websites for both patients and
physicians and a cloud-based health data management system. This demonstration
shows how our system supports physicians and patients.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-42&engl=0}
}
@inproceedings {INPROC-2015-25,
author = {Frank Steimle and Matthias Wieland and Bernhard Mitschang and Sebastian Wagner and Frank Leymann},
title = {{Design and Implementation Issues of a Secure Cloud-Based Health Data Management System}},
booktitle = {Proceedings of the 9th Symposium and Summer School On Service-Oriented Computing},
editor = {Johanna Barzen and Rania Khalaf and Frank Leymann and Bernhard Mitschang},
publisher = {IBM Research Report},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Technical Paper},
volume = {RC25564},
pages = {68--82},
type = {Konferenz-Beitrag},
month = {Dezember},
year = {2015},
keywords = {eHealth; mHealth; cloud data; data analysis; security},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
H.2.8 Database Applications,
J.3 Life and Medical Sciences},
ee = {http://domino.research.ibm.com/library/cyberdig.nsf/papers/656B934403848E8A85257F1D00695A63},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;
Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {eHealth gains more and more interest since a lot of end-user devices which
support health data capturing are available. The captured data has to be
managed and securely stored, in order to access it from different devices and
to share it with other users such as physicians. The aim of the German-Greek
research project ECHO is to support the treatment of patients, who suffer from
Chronic Obstructive Pulmonary Disease (COPD), a chronic respiratory disease.
Usually the patients need to be examined by their physicians on a regular basis
due to their chronic condition. Since this is very time consuming and
expensive, we develop an eHealth system which allows the physician to monitor
patients conditions remotely, e.g., via smart phones. Therefore, a secure data
processing and sharing eHealth platform is required. In this paper we introduce
a health data model and a corresponding platform-architecture for the
management and analysis of the data provided by the patients. Furthermore, we
show how the security of the data is ensured and we explain how the platform
can be hosted in a cloud-based environment using the OASIS standard TOSCA,
which enables a self-contained and portable description and management of
cloud-services.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-25&engl=0}
}
@inproceedings {INPROC-2014-81,
author = {Stefan Schneegass and Frank Steimle and Andreas Bulling and Florian Alt and Albrecht Schmidt},
title = {{SmudgeSafe: Geometric Image Transformations for Smudge-resistant User Authentication}},
booktitle = {Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing},
publisher = {ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {775--786},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2014},
isbn = {978-1-4503-2968-2},
doi = {10.1145/2632048.2636090},
keywords = {finger smudge traces, graphical passwords, touch input},
language = {Englisch},
cr-category = {H.5.2 Information Interfaces and Presentation User Interfaces,
K.6.5 Security and Protection},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Visualisierung und Interaktive Systeme, Visualisierung und Interaktive Systeme},
abstract = {Touch-enabled user interfaces have become ubiquitous, such as on ATMs or
portable devices. At the same time, authentication using touch input is
problematic, since finger smudge traces may allow attackers to reconstruct
passwords. We present SmudgeSafe, an authentication system that uses random
geometric image transformations, such as translation, rotation, scaling,
shearing, and flipping, to increase the security of cued-recall graphical
passwords. We describe the design space of these transformations and report on
two user studies: A lab-based security study involving 20 participants in
attacking user-defined passwords, using high quality pictures of real smudge
traces captured on a mobile phone display; and an in-the-field usability study
with 374 participants who generated more than 130,000 logins on a mobile phone
implementation of SmudgeSafe. Results show that SmudgeSafe significantly
increases security compared to authentication schemes based on PINs and lock
patterns, and exhibits very high learnability, efficiency, and memorability.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-81&engl=0}
}
@article {ART-2016-19,
author = {Marina Bitsaki and Christos Koutras and George Koutras and Frank Leymann and Frank Steimle and Sebastian Wagner and Matthias Wieland},
title = {{ChronicOnline: Implementing a mHealth solution for monitoring and early alerting in chronic obstructive pulmonary disease}},
journal = {Health Informatics Journal},
publisher = {Sage Publications},
pages = {1--10},
type = {Artikel in Zeitschrift},
month = {April},
year = {2016},
doi = {10.1177/1460458216641480},
keywords = {chronic obstructive pulmonary disease; cloud computing; health services; mobile applications; monitoring},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
H.2.8 Database Applications,
J.3 Life and Medical Sciences},
ee = {http://jhi.sagepub.com/content/early/2016/04/16/1460458216641480.full.pdf+html},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware;
Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen},
abstract = {Lack of time or economic difficulties prevent chronic obstructive pulmonary
disease patients from communicating regularly with their physicians, thus
inducing exacerbation of their chronic condition and possible hospitalization.
Enhancing Chronic patients{\^a} Health Online proposes a new, sustainable and
innovative business model that provides at low cost and at significant savings
to the national health system, a preventive health service for chronic
obstructive pulmonary disease patients, by combining human medical expertise
with state-of-the-art online service delivery based on cloud computing,
service-oriented architecture, data analytics, and mobile applications. In this
article, we implement the frontend applications of the Enhancing Chronic
patients{\^a} Health Online system and describe their functionality and the
interfaces available to the users.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-19&engl=0}
}
@article {ART-2016-18,
author = {Frank Steimle and Matthias Wieland and Bernhard Mitschang and Sebastian Wagner and Frank Leymann},
title = {{Extended provisioning, security and analysis techniques for the ECHO health data management system}},
journal = {Computing},
publisher = {Springer},
pages = {1--19},
type = {Artikel in Zeitschrift},
month = {Oktober},
year = {2016},
doi = {10.1007/s00607-016-0523-8},
language = {Englisch},
cr-category = {C.2.4 Distributed Systems,
H.2.8 Database Applications,
J.3 Life and Medical Sciences},
ee = {http://dx.doi.org/10.1007/s00607-016-0523-8},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {eHealth gains more and more interest since a lot of end-user devices supporting
health data capturing are available. The captured data has to be managed and
securely stored, in order to access it from different devices and share it with
other users such as physicians. The aim of the german-greek research project
ECHO is to support the treatment of patients, who suffer from chronic
obstructive pulmonary disease, a chronic respiratory disease. Usually the
patients need to be examined by their physicians on a regular basis due to
their chronic condition. Since this is very time consuming and expensive we
developed an eHealth system which allows the physician to monitor patients
condition remotely, e.g., via smart phones. This article is an extension of
previous work, where we introduced a health data model and an associated
platform-architecture for the management and analysis of the data provided by
the patients. There we have also shown how the security of the data is ensured
and we explained how the platform can be provided in a cloud-based environment
using the OASIS standard TOSCA, which enables a self-contained management of
cloud-services. In this article we provide a more detailed description about
the health data analysis, provisioning and security aspects of the eHealth
system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-18&engl=0}
}
@inbook {INBOOK-2019-03,
author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
title = {{How to Realize Device Interoperability and Information Security in mHealth Applications}},
series = {Biomedical Engineering Systems and Technologies},
address = {Cham},
publisher = {Springer Nature},
series = {Communications in Computer and Information Science},
volume = {1024},
pages = {213--237},
type = {Beitrag in Buch},
month = {August},
year = {2019},
isbn = {978-3-030-29195-2},
doi = {10.1007/978-3-030-29196-9_12},
keywords = {mHealth; Device interoperability; Information security; COPD},
language = {Englisch},
cr-category = {H.5.0 Information Interfaces and Presentation General,
K.6.5 Security and Protection,
K.8 Personal Computing},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {More and more people suffer from chronic diseases such as the chronic
obstructive pulmonary disease (COPD). This leads to very high treatment costs
every year, as such patients require a periodic screening of their condition.
However, many of these checks can be performed at home by the patients
themselves. This enables physicians to focus on actual emergencies. Modern
smart devices such as Smartphones contribute to the success of these
telemedical approaches. So-called mHealth apps combine the usability and
versatility of Smartphones with the high accuracy and reliability of medical
devices for home use. However, patients often face the problem of how to
connect medical devices to their Smartphones (the device interoperability
problem). Moreover, many patients reject mHealth apps due to the lack of
control over their sensitive health data (the information security problem).
In our work, we discuss the usage of the Privacy Management Platform (PMP) to
solve these problems. So, we describe the structure of mHealth apps and present
a real-world COPD application. From this application we derive relevant
functions of an mHealth app, in which device interoperability or information
security is an issue. We extend the PMP in order to provide support for these
recurring functions. Finally, we evaluate the utility of these PMP extensions
based on the real-world mHealth app.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2019-03&engl=0}
}
@inbook {INBOOK-2017-03,
author = {Christoph Stach and Frank Steimle and Ana Cristina Franco da Silva},
title = {{TIROL: The Extensible Interconnectivity Layer for mHealth Applications}},
series = {Information and Software Technologies: 23nd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12-14, 2017, Proceedings},
address = {Cham},
publisher = {Springer International Publishing},
series = {Communications in Computer and Information Science},
pages = {1--12},
type = {Beitrag in Buch},
month = {Oktober},
year = {2017},
keywords = {mHealth; medical devices; harmonization; interconnectivity layer},
language = {Englisch},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
J.3 Life and Medical Sciences},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Anwendersoftware},
abstract = {The prevalence of various chronic conditions is on the rise. Periodic
screenings and a persistent therapy are necessary in order to aid the patients.
Increasing medical costs and overburdened physicians are the consequences. A
telemedical self-management of the illness is considered as the answer to this
problem. For this purpose mHealth applications, i.e., the synergy of common
smartphones and medical metering devices, are vitally needed. However, poor
device interoperability due to heterogeneous connectivity methods hamper the
usage of such applications. For this very reason, we introduce the concept for
an exTensible InteRcOnnectivity Layer (TIROL) to deal with the
interconnectivity issues of mHealth applications. Furthermore, we present a
prototypical implementation for TIROL to demonstrate the benefits of our
approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-03&engl=0}
}