@inproceedings {INPROC-2018-15,
    author = {Christoph Stach and Sascha Alpers and Stefanie Betz and Frank D{\"u}rr and Andreas Fritsch and Kai Mindermann and Saravana Murthy Palanisamy and Gunther Schiefer and Manuela Wagner and Bernhard Mitschang and Andreas Oberweis and Stefan Wagner},
    title = {{The AVARE PATRON: A Holistic Privacy Approach for the Internet of Things}},
    booktitle = {Proceedings of the 15th International Conference on Security and Cryptography (SECRYPT '18)},
    publisher = {INSTICC Press},
    institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
    pages = {1--8},
    type = {Konferenz-Beitrag},
    month = {Juli},
    year = {2018},
    keywords = {Privacy; IoT Apps; Smart Things; Stream Processing; Privacy Preferences Elicitation \& Veri\&\#64257; cation},
    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;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Verteilte Systeme},
    abstract = {Applications for the Internet of Things are becoming increasingly popular. Due
      to the large amount of available context data, such applications can be used
      effectively in many domains. By interlinking these data and analyzing them, it
      is possible to gather a lot of knowledge about a user. Therefore, these
      applications pose a threat to privacy. In this paper, we illustrate this threat
      by looking at a real-world application scenario. Current state of the art
      focuses on privacy mechanisms either for Smart Things or for big data
      processing systems. However, our studies show that for a comprehensive privacy
      protection a holistic view on these applications is required. Therefore, we
      describe how to combine two promising privacy approaches from both categories,
      namely AVARE and PATRON. Evaluation results confirm the thereby achieved
      synergy effects.},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-15&engl=0}
 }

@inproceedings {INPROC-2018-04,
    author = {Christoph Stach and Frank D{\"u}rr and Kai Mindermann and Saravana Murthy Palanisamy and Stefan Wagner},
    title = {{How a Pattern-based Privacy System Contributes to Improve Context Recognition}},
    booktitle = {Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (CoMoRea)},
    publisher = {IEEE Computer Society},
    institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
    pages = {1--6},
    type = {Workshop-Beitrag},
    month = {M{\"a}rz},
    year = {2018},
    keywords = {privacy; access control; pattern concealing; stream processing; complex event processing; databases},
    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;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Verteilte Systeme},
    abstract = {As Smart Devices have access to a lot of user-preferential data, they come in
      handy in any situation. Although such data - as well as the knowledge which can
      be derived from it - is highly beneficial as apps are able to adapt their
      services appropriate to the respective context, it also poses a privacy threat.
      Thus, a lot of research work is done regarding privacy. Yet, all approaches
      obfuscate certain attributes which has a negative impact on context recognition
      and thus service quality. Therefore, we introduce a novel access control
      mechanism called PATRON. The basic idea is to control access to information
      patterns. For instance, a person suffering from diabetes might not want to
      reveal his or her unhealthy eating habit, which can be derived from the pattern
      ``rising blood sugar level'' -$>$ ``adding bread units''. Such a pattern which must
      not be discoverable by some parties (e.g., insurance companies) is called
      private pattern whereas a pattern which improves an app's service quality is
      labeled as public pattern. PATRON employs different techniques to conceal
      private patterns and, in case of available alternatives, selects the one with
      the least negative impact on service quality, such that the recognition of
      public patterns is supported as good as possible.},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-04&engl=0}
 }

@inproceedings {INPROC-2017-32,
    author = {Christoph Stach and Frank D{\"u}rr and Kai Mindermann and Saravana Murthy Palanisamy and Muhammad Adnan Tariq and Bernhard Mitschang and Stefan Wagner},
    title = {{PATRON - Datenschutz in Datenstromverarbeitungssystemen}},
    booktitle = {Informatik 2017: Digitale Kulturen, Tagungsband der 47. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI), 25.09. - 29.09.2017, Technische Universit{\"a}t Chemnitz},
    publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
    institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
    series = {LNI},
    pages = {1--12},
    type = {Workshop-Beitrag},
    month = {September},
    year = {2017},
    keywords = {Datenschutz; Zugriffskontrolle; Datenstr{\"o}me; Internet der Dinge; Privatheit; Sensoren},
    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;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Verteilte Systeme},
    abstract = {Angetrieben durch die stetig voranschreitende Digitalisierung gewinnt das
      Internet der Dinge (engl. IoT) immer mehr an Bedeutung. Im IoT werden
      technische Ger{\"a}te mit unterschiedlichen Sensoren ausgestattet und miteinander
      vernetzt. Dadurch werden neuartige Anwendungen beispielsweise im Bereich
      E-Health erm{\"o}glicht, in denen Sensordaten miteinander kombiniert und so in
      h{\"o}herwertige Informationen umgewandelt werden. Die von diesen Anwendungen
      abgeleiteten Informationen verraten viel {\"u}ber den Nutzer und m{\"u}ssen daher
      besonders gesch{\"u}tzt werden. H{\"a}ufig hat der Nutzer allerdings keine Kontrolle
      {\"u}ber die Verarbeitung seiner Daten, ganz davon zu schweigen, dass er das Ausma{\ss}
      und die Art der daraus ableitbaren Informationen nicht ermessen kann.
      
      In diesem Artikel stellen wir daher einen neuartigen Kontrollmechanismus vor,
      der private Informationen im IoT sch{\"u}tzt. Anstelle von abstrakten
      Datenschutzregeln f{\"u}r einzelne Sensoren definiert der Nutzer Muster, die es zu
      sch{\"u}tzen gilt. Ein Muster kann beispielsweise eine Kombination aus Messwerten
      sein, die auf eine bestimmte Krankheit schlie{\ss}en lassen. Der Nutzer definiert
      die zu verheimlichenden Informationen nat{\"u}rlichsprachlich, und ein
      Dom{\"a}nenexperte setzt diese in formale Regeln um. Sind diese Regeln zu
      restriktiv, so kann die Anwendung ihre angedachte Funktionalit{\"a}t nicht
      erbringen. Daher muss bez{\"u}glich der Servicequalit{\"a}t ein Kompromiss zwischen
      gew{\"u}nschter Privatheit und ben{\"o}tigter Funktionalit{\"a}t gefunden werden.},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-32&engl=0}
 }

@inproceedings {INPROC-2015-61,
    author = {Stefan Wagner and Dirk Pfl{\"u}ger and Miriam Mehl},
    title = {{Simulation Software Engineering: Experiences and Challenges}},
    booktitle = {Proceedings of the 3rd International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering},
    publisher = {ACM},
    institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
    series = {SE-HPCCSE '15},
    pages = {1--4},
    type = {Konferenz-Beitrag},
    month = {Januar},
    year = {2015},
    doi = {10.1145/2830168.2830171},
    isbn = {978-1-4503-4012-0},
    keywords = {simulation software, software engineering},
    language = {Deutsch},
    cr-category = {D.2.0 Software Engineering General},
    department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering},
    abstract = {Using software for large-scale simulations has become an important research
      method in many disciplines. With increasingly complex simulations, simulation
      software becomes a valuable assest. Yet, the quality of many simulation codes
      is worrying. In this paper, we want to collect and structure the challenges for
      a systematic simulation software engineering as a reference and the basis for
      further research. We describe our own experiences with developing simulation
      software and collaborating with non-computer-scientists. We complement our
      experienced challenges with a brief literature review. We structured the
      challenges for simulation software engineering into six areas: motivation and
      recognition; education and training; developer turnover; software length of
      life; verification, validation and debugging; and efficiency vs.
      maintainability. Overcoming these challenges needs efforts from research
      agencies, scientific computing researchers as well as software engineering
      researchers.},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-61&engl=0}
 }

@article {ART-2019-16,
    author = {Giuliano Casale and Matej Arta\&\#269; and Willem-Jan van den Heuvel and Andr{\'e} van Hoorn and Pelle Jakovits and Frank Leymann and Michael Long and Vasileios Papanikolaou and Domenico Presenza and Alessandra Russo and Satish N. Srirama and Damian A. Tamburri and Michael Wurster and Lulai Zhu},
    title = {{RADON: Rational Decomposition and Orchestration for Serverless Computing}},
    journal = {SICS Software-Intensive Cyber-Physical Systems},
    publisher = {Springer},
    type = {Artikel in Zeitschrift},
    month = {August},
    year = {2019},
    doi = {10.1007/s00450-019-00413-w},
    language = {Englisch},
    cr-category = {C.0 Computer Systems Organization, General,
                   C.2.4 Distributed Systems,
                   D.1 Programming Techniques,
                   D.2 Software Engineering},
    contact = {Michael Wurster wurster@iaas.uni-stuttgart.de},
    department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Architektur von Anwendungssystemen;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Sichere und Zuverl{\"a}ssige Softwaresysteme;
                  Universit{\"a}t Stuttgart, Institut f{\"u}r Softwaretechnologie, Software Engineering},
    abstract = {Emerging serverless computing technologies, such as function as a service
      (FaaS), enable developers to virtualize the internal logic of an application,
      simplifying the management of cloud-native services and allowing cost savings
      through billing and scaling at the level of individual functions. Serverless
      computing is therefore rapidly shifting the attention of software vendors to
      the challenge of developing cloud applications deployable on FaaS platforms. In
      this vision paper, we present the research agenda of the RADON project
      (http://radon-h2020.eu), which aims to develop a model-driven DevOps framework
      for creating and managing applications based on serverless computing. RADON
      applications will consist of fine-grained and independent microservices that
      can efficiently and optimally exploit FaaS and container technologies. Our
      methodology strives to tackle complexity in designing such applications,
      including the solution of optimal decomposition, the reuse of serverless
      functions as well as the abstraction and actuation of event processing chains,
      while avoiding cloud vendor lock-in through models.},
    url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2019-16&engl=0}
 }