CyberFactory#1 auf der ESM 2021: Invited Talks

Das CyberFactory#1 Konsortium hat einen zweiten Workshop auf der diesjährigen 35. European Simulation and Modelling Konferenz organisiert, die vom 27.-29. Oktober stattfand. Ähnlich wie der erste CyberFactory#1-Workshop im letzten Jahr bestand auch dieser aus Vorträgen und einer Paper-Session bestehen. Vier unserer Konsortiumsmitglieder hielten Keynotes und haben dabei einen unserer Anwendungsfälle vorgestellt, sowie über verschiedene Aspekte der Fabrik der Zukunft gesprochen, die die Sicherheit und Optimierung der Produktion fördern.


Invited Talks:


1. CyberFactory#1 – Protecting the Factory of the Future with CyberRanges and Digital Twins: the Roboshave Use-Case

Sprecher: Adrien Bécue (Head of Innovation Airbus Cybersecurity, Elancourt, France)

2. Holistic Correlation of Events from increased Security and Safety of Factories of the Future

Sprecher: Isabel Praça (Professor at ISEP and Researcher at GECAD, Porto, Portugal)

3. Realistic Simulation-based Fleet of cobots for FoF Optimization in Complex Scenarios

Sprecher: Sergi Garcia (PAL Robotics, Barcelona, Spain)

4. CyberFactory#1 – Increasing the FoF Resilience with Modelling and Simulation Tools

Sprecher: Jarno Salonen (Industrial Cybersecurity, VTT Technical Research Centre of Finland, Tampere, Finland)

Weitere Informationen zur Konferenz, den Sprechern und ihren Themen finden Sie hier.


Neues CyberFactory#1 Video!

In unserem neuen Showcase-Video zeigen wir, wie unsere portugiesischen Partner SISTRADE, ISEP und IDEPA zusammenarbeiten, um eine effiziente und sichere Fabrik der Zukunft zu gestalten.



Einladung zum Integration Workshop!

Dieser Workshop wird Einblicke in die CyberFactory#1 Anwendungsfälle geben. CyberFactory#1 zielt darauf ab, eine Reihe von Schlüsselfertigkeiten zu entwerfen, zu entwickeln, zu integrieren und zu demonstrieren, um die Digitalisierung, Optimierung und Widerstandsfähigkeit der Fabrik der Zukunft (FoF) zu fördern. Es adressiert die Bedürfnisse von 10 Pilotanwendern aus der Transport-, Textil-, Elektronik- und Maschinenbauindustrie rund um Anwendungsfälle wie zum Beispiel KI-basierte Prozessüberwachung/-optimierung, kontinuierliche Qualitätskontrolle, kollaborative Robotik, oder Optimierung von Roboterflotten. Darüber hinaus werden präventive und reaktive Fertigkeiten vorgeschlagen, um Cyber- und physische Bedrohungen sowie Sicherheitsbedenken in Fabriken der Zukunft zu minimieren.

Das Ziel dieses Workshops ist es, die Projekt-Demonstratoren anhand der Benutzeranforderungen zu bewerten:

    • Ziel der Demonstration
    • Integrierte Fertigkeiten
    • Architektur
    • Demonstrationsplattform
    • Demonstrationsszenario

Datum: 03. May 2021

Zeit: 14.00-17.15 CEST

Sprache: Englisch


14.00:             Anwendungsfälle 1-5

      • Airbus Defence and Space “Roboshave” – Real time rivet shaving control for aircraft manufacturing
      • Airbus Defence and Space “Autoclave” – Data-driven process optimization for aircraft parts forming
      • Airbus Defence and Space “Gap Gun” – Real time gaps and steps measurement data collection and analysis
      • S21Sec – Secure Manufacturing CPS monitoring on auxiliary automotive industry
      • Bittium – Cyber secure networked supply chain and information architecture

15.30:            Kaffee Pause

15.45:            Anwendungsfälle 5-10

      • High Metal – Cheese making, IoT process lines and machinery
      • IDEPA – Digitized Textile production with cognitive ERP
      • Vestel – Optimizing Material Handling in PCB assembly lines
      • Alstom – Enabling robotics involvement in large system integration
      • ASTI Mobile Robotics GmbH – Simulation-based Robot fleet task allocation and optimization

17.15:            Ende des Workshops


Call for Papers for our second CyberFactory#1 Workshop at the ESM2021!

Call for Papers to be presented at the 35th European Simulation and Modelling Conference

October 27 – October 29, 2021, Rome, Italy

2. Workshop: CyberFactory – Optimization & Resilience of Factories of the Future

This workshop focuses on the development and application of methods for modeling and simulation of CPS for the factory of the future (FoF). With the advent of Industry 4.0, digitalization and automation processes have moved into the focus of industry. The primary goal is not the optimization of a single production plant, but of the factory as a whole by the marriage of physical assets and advanced digital technologies, such as the internet of things (IoT), artificial intelligence (AI) and robots. From a modeling perspective, the individual components of the factory thus become cyber-physical systems (CPS) that communicate, analyze, and act upon information, enabling more flexible and responsive production. This track focuses on the development and application of methods for modeling and simulation of CPS for the factory of the future (FoF).

The organizers invite contributions with a focus towards CPS in the FoF that describe problem statements, trends, and emerging ideas in the engineering and application of CPS in industrial production.

Topics include, but are not limited to:

  • Requirements on CPS modeling for optimization and resilience of the FoF
  • Architectures for the FoF
  • Application of existing CPS models to industry: benefits and gaps
  • Usage of digital twins for optimization and resilience in the FoF
  • Data lake exploitation for the FoF
  • Models & Simulations for the identification of threats on safety and security in the FoF
  • Tool support for modeling & simulation of the FoF
  • Uncertainties and predictions in the FoF models
  • Modeling of human-machine-interaction in the FoF
  • Distributed manufacturing
  • Cyber resilience modeling for the FoF

Paper format:

Participants may submit a 5 page full paper or an 8 page extended paper (single spaced, double column) in PDF format. Paper formatting guidelines and templates can be found at All accepted papers will be published in the ESM’2020 Conference Proceedings.

Workshop format:

The workshop will be held as part of the European Simulation and Modeling Conference (ESM) 2021 to take place in Rome, Italy on October 27-29, 2021. It will feature peer-reviewed paper presentations organized according to the topics defined above. Papers not exceeding 8 pages must be submitted electronically via email in PDF format and must be conform to the submission guidelines.

Each submission will be reviewed by at least three members of the Program Committee and will be evaluated on the basis of originality, importance of contribution, soundness, evaluation, quality of presentation and appropriate comparison to related work. The program committee as a whole will make final decisions about which submissions to accept for presentation at the conference.

Important Dates:

Paper Submission deadline:                           Jun 25th, 2021
Notification of acceptance/rejection:      Aug 21th, 2021
Camera ready paper:                                          Sep 27th, 2021
Workshop:                                                                Oct 27th-29th, 2021


Adrien Bécue (Airbus Cybersecurity)
Frank Oppenheimer (OFFIS e.V.)
Ilhan Kaya (Vestel)
Ingo Stierand (OFFIS e.V.)
Isabel Praça (Instituto Superior de Engenharia do Porto)
Jarno Salonen (VTT Technical Research Centre of Finland Ltd)
Linda Feeken (OFFIS e.V.)

Linda Feeken,

Call for Papers: Symposium on Security and Privacy in Speech Communication

Call for papers to be presented at the

1st Symposium on Security and Privacy in Speech Communication

Online, November 10-12, 2021


The first edition of the SPSC Symposium aims at laying the first building blocks required to address the question how researchers and practitioners might bridge the gap between social perceptions and their technical counterparts with respect to what it means for our voices and speech to be secure and private.

The symposium brings together researchers and practitioners across multiple disciplines – more specifically: signal processing, cryptography, security, human-computer interaction, law, and anthropology. By integrating different disciplinary perspectives on speech-enabled technology and applications, the SPSC Symposium opens opportunities to collect and merge input regarding technical and social practices, as well as a deeper understanding of the situated ethics at play.The SPSC Symposium addresses interdisciplinary topics.

For more details, see CFP.

Topics of Interest:
Topics regarding the technical perspective include but are not limited to:
  • Speech Communication
  • Cyber security
  • Machine Learning
  • Natural Language Processing
Topics regarding the societal view include but are not limited to:
  • Human-Computer Interfaces (Speech as Medium)
  • Ethics & Law
  • Digital Humanities
We welcome contributions on related topics, as well as progress reports, project disseminations, or theoretical discussions and “work in progress”.  There also is a dedicated PhD track. In addition, guests from academia, industry and public institutions as well as interested students are welcome to attend the conference without having to make their own contribution. All accepted submissions will appear in the conference proceedings published in ISCA Archive.

Papers intended for the SPSC Symposium should be up to four pages of text. An optional fifth page can be used for references only. Paper submissions must conform to the format defined in the paper preparation guidelines and as detailed in the author’s kit. Papers must be submitted via the online paper submission system. The working language of the conference is English, and papers must be written in English.

All submissions share the same registration deadline (with one week of submission updates afterwards). At least three single-blind reviews are provided, we aim to get feedback from interdisciplinary experts for each submission.

Important dates:
Paper submission opens:           April 10, 2021
Paper submission deadline:     June 30, 2021
Author notification:                      September 5, 2021
Final paper submission:              October 5, 2021
SPSC Symposium:                          November 10-12, 2021

For further details contact!

Webinar: Resilience Capabilities for the Factory of the Future


Das Webinar gibt Einblicke in eine der Schlüsselfertigkeiten der CyberFactory#1: Resilienz. Die Keynote wird von Sauli Eloranta, Professor of Practice am VTT, zum Thema “Industry challenge to resilience in the factory of the future” gehalten. Anschließend diskutieren Experten unserer Projektpartner die verschiedenen Aspekte, die für eine resiliente Fabrik der Zukunft (FoF) berücksichtigt werden müssen. In der ersten Hälfte geht es um Identity und Access Mangement und den Schutz von KI. Nach einer kurzen Fragerunde folgen Vorträge zum Monitoring der FoF und zum Umgang mit Cyberattacken, gefolgt von einer weiteren Fragerunde.





14.00:             Welcome

Jarno Salonen, VTT

Keynote: Industry challenge to resilience in the factory of the future

Sauli Eloranta, VTT

14.20:             How to create trust with comprehensive identity and access management

Markku Korkiakoski, Netox

Don’t make me think: an intuitive access management approach

Diogo Santos, Sistrade

14.40:             How to protect AI from manipulation attempts

Ching-Yu Kao, Fraunhofer AISEC

Aspects of preventing AI manipulation

Seppo Heikura, Houston Analytics

15.00:              Q&A

15.10:             How to enhance resilience by monitoring the FoF

Mario Brauer, Airbus CyberSecurity Germany

Monitoring different aspects of human behaviour on the shop-floor

Jorge Oliveira, ISEP

15.30:             Architectural approach to effectively detect cyberattacks

Murat Lostar, Lostar

How to remediate and recover from a cyberattack

Jari Partanen, Bittium

15.50:              Q&A

16.00              Wrap Up

Jarno Salonen, VTT




Sauli Eloranta (Professor of Practice am VTT Technical Research Centre of Finland)

Sauli Eloranta, M. Sc. (Tech.), begann am 1. Januar 2020 als Professor of Practice am VTT zu arbeiten. Eloranta, der 2019 zum CTO des Jahres in Finnland gewählt wurde, kam mit einer langen Erfahrung in der Förderung von Technologie und Digitalisierung in der Industrie und im Schiffsverkehr zum VTT.

Eloranta war als Leiter der Abteilung Innovation und Technologie bei Rolls-Royce Marine, später Kongsberg Maritime, tätig. Für seine Arbeit in der finnischen Innovationsszene und Förderer des autonomen Seeverkehrs wurde Eloranta von der Federation of Finnish Technology Industries mit dem Titel CTO des Jahres ausgezeichnet. Er war Vorsitzender des One Sea Autonomous Maritime Ecosystem in den Jahren 2016-2019. Sauli hat den Vorsitz des digitalen Beirats von Business Finland inne und ist Mitglied des Wachstumsprogramms für den Transportsektor. Darüber hinaus setzt er sich für die Zusammenarbeit des privaten Sektors und gesellschaftlicher Akteure ein.

In seiner Rolle als Professor of Practice konzentriert sich Eloranta auf die allgemeine Resilienz der finnischen Gesellschaft. Sein Gebiet umfasst Cybersicherheit, autonome Systeme und intelligenten Transport und Mobilität. Kürzlich hat Sauli das finnische Ministerium für Wirtschaft und Arbeit (TEM) beim Aufbau einer inländischen Produktion von Gesichtsmasken für das öffentliche Gesundheitswesen unterstützt.

LISA wird neuer Projektpartner von CyberFactory#1


Wir freuen uns über einen neuen Partner im CyberFactory#1-Konsortium: Seit Februar 2021 ist LISA Deutschland GmbH bei den deutschen Projektpartnern dabei. Die LISA Gruppe ist ein international bekanntes Unternehmen für intelligente Systeme und machinelles Lernen und verfügt über umfangreiche Erfahrung in der Entwicklung von Systemen für den Luft- und Raumfahrtbetrieb.

Im Rahmen des Projekts wird LISA einen autonomen Anomalie-Bot zur Verfügung stellen, der Cybersecurity-Anomalien erkennen soll, um die Produktion und Fertigung in der Fabrik der Zukunft zu verbessern. Der Bot wird innerhalb der Anwendungsfälle von Airbus Defense and Space (Spanien) eingesetzt, kann aber zur Erkennung von Cybersicherheitsanomalien in jeder Umgebung verwendet werden. Mehr über den Beitrag zum Projekt können Sie hier lesen.


Posterpräsentation beim Machine Learning in Certified Systems Workshop

Beim Machine Learning in Certified Systems Workshop, welcher vom DEEL project organisiert wurde, hat Ana Pereira von der Hochschule für Technik und Wirtschaft Berlin (HTW) ein Poster zum Thema “Safety Hazards Analysis and Mitigation Strategies for Machine Learning-Based Safety-Critical Systems” präsentiert.


Machine Learning (ML) is increasingly applied for the control of safety-critical Cyber-Physical Systems (CPS). As a consequence, the safety of machine learning became a focus area for research in recent years. Applying a classic technique of safety engineering, our work provides a methodological analysis of the safety hazards that could be introduced along the ML lifecycle, and that could compromise the safe operation of ML-based CPS. The comprehensive analysis presented here intends to be used as a basis for holistic approaches for safety engineering of ML-based CPS in safety-critical applications, and aims to support the use of ML-based control systems in highly safety-critical applications and their certification.

Das Poster wurde von Ana Pereira und Carsten Thomas von der Hochschule für Technik und Wirtschaft Berlin (HTW) erstellt.

Hier können Sie das Poster herunterladen.

Präsentationen auf vier akademischen Konferenzen

Unsere Kollegen vom Fraunhofer AISEC haben in den letzten Monaten vier Paper auf akademischen Konferenzen präsentiert. Klicken Sie auf die untenstehenden Titel um mehr über die einzelnen Beiträge zu erfahren.

Dieses Paper wurde auf dem DYNAMICS workshop am 7. Dezember 2020 auf der Annual Computer Security Applications Conference (ACSAC) präsentiert.

Hier kann man das Paper herunterladen.

Autoren: Philip Sperl und Konstantin Böttinger

Abstract: Neural Networks (NNs) are vulnerable to adversarial examples. Such inputs differ only slightly from their benign counterparts yet provoke misclassifications of the attacked NNs. The required perturbations to craft the examples are often negligible and even human imperceptible. To protect deep learning-based systems from such attacks, several countermeasures have been proposed with adversarial training still being considered the most effective. Here, NNs are iteratively retrained using adversarial examples forming a computational expensive and time consuming process often leading to a performance decrease. To overcome the downsides of adversarial training while still providing a high level of security, we present a new training approach we call \textit{entropic retraining}. Based on an information-theoretic-inspired analysis, entropic retraining mimics the effects of adversarial training without the need of the laborious generation of adversarial examples. We empirically show that entropic retraining leads to a significant increase in NNs’ security and robustness while only relying on the given original data. With our prototype implementation we validate and show the effectiveness of our approach for various NN architectures and data sets.

Das zweite Paper wurde auch auf der Annual Computer Security Applications Conference (ACSAC) 2020 präsentiert.

Autoren: Karla Markert, Romain Parracone, Philip Sperl und Konstantin Böttinger.

Abstract: Security of automatic speech recognition (ASR) is becoming ever more important as such systems increasingly influence our daily life, notably through virtual assistants. Most of today’s ASR systems are based on neural networks and their vulnerability to adversarial examples has become a great matter of research interest. In parallel, the research for neural networks in the image domain has progressed, including methods for explaining their predictions. New concepts, referred to as attribution methods, have been developed to visualize regions in the input domain that strongly influence the image’s classification.  In this paper, we apply two visualization techniques to the ASR system Deepspeech and show significant visual differences between benign data and adversarial examples. With our approach we make first steps towards explaining ASR systems, enabling the understanding of their decision process.

Dieses Paper wurde auf der 4th ACM Computer Science in Cars Symposium (ACM CSCS 2020) vorgestellt.

Autoren: Karla Markert, Donika Mirdita und Konstantin Böttinger

Abstract: Voice control systems in vehicles offer great advantages for drivers, in particular more comfort and increased safety while driving.  Being continuously enhanced, they are planned to comfortably allow access to the networked home via external interfaces. At the same time, this far-reaching control enables new attack vectors and opens doors for cyber criminals. Any attacks on the voice control systems concern the safety of the car as well as the confidentiality and integrity of the user’s private data. For this reason, the analysis of targeted attacks on automatic speech recognition (ASR) systems, which extract the information necessary for voice control systems, is of great interest. The literature so far has only dealt with attacks on English ASR systems. Since most drivers interact with the voice control system in their mother tongue, it is important to study language-specific characteristics in the generation of so-called adversarial examples: manipulated audio data that trick ASR systems. In this paper, we provide a short overview on recent literature to discuss the language bias towards English in current research. Our preliminary findings underline that there are differences in the vulnerability of a German and an English ASR system.

Das vierte Paper wurde bereits im September auf der IEEE European Symposium on Security and Privacy 2020 präsentiert.

Hier kann man das Paper herunterladen.

Autoren: Philip Sperl, Ching-Yu Kao, Peng Chen, Xiao Lei, und Konstantin Boettinger

Abstract: In this paper, we present a novel end-to-end framework to detect such attacks during classification without influencing the target model’s performance. Inspired by recent research in neuron-coverage guided testing we show that dense layers of DNNs carry security-sensitive information. With a secondary DNN we analyze the activation patterns of the dense layers during classification runtime, which enables effective and real-time detection of adversarial examples. This approach has the advantage of leaving the already trained target model and its classification accuracy unchanged. Protecting vulnerable DNNs with such detection capabilities significantly improves robustness against state-of-the-art attacks.Our prototype implementation successfully detects adversarial examples in image, natural language, and audio processing. Thereby, we cover a variety of target DNNs, including Long Short Term Memory (LSTM) architectures. In addition to effectively defend against state-of-the-art attacks, our approach generalizes between different sets of adversarial examples. Thus, our method most likely enables us to detect even future, yet unknown attacks.


Virtuelles Panel – CyberFactory: How to make the Factory of the Future efficient and secure?

Am 9. Dezember fand unser virtuelles Panel zum Thema “CyberFactory#1: How to make the factory of the future efficient and secure” statt. Unsere Referenten, Adrien Bécue, İrem Hilavin und Jari Partanen, stellten das Projekt, den Anwendungsfall Vestel und Aspekte der FoF- Resilienz vor. Dann folgte eine Dikussionsrunde und Fragen unter anderem zu den Beziehungen von Mensch und Maschine oder zu den Möglichkeiten die dieses Projekt Unternehmen, die nicht direkt beteiligt sind, bieten kann. Unten finden Sie die Präsentationsfolien. Wir freuen uns auf viele weitere Veranstaltungen im neuen Jahr!




As factories digitalise and adopt automation technologies, they unlock new business models, manufacturing processes and logistics methods – as well as alternative roles for the people and machines that work in the factory. At the same time, these processes result in more complex IT and OT systems, presenting novel cyber security challenges and potentially leading to dangerous new interdependencies.

Based on early results from the European research project CyberFactory#1, our panel will discuss both the opportunities and challenges represented by the digitalisation and automation of factories, including what the transition towards a new factory system of systems may look like – but also the new threats that organisations may face if security and resilience are not prioritised early in the process.



Adrien Bécue, Project Leader CyberFactory#1, Head of Innovation, Airbus CyberSecurity, France

Jari Partanen, Task Leader CyberResilience, Head of Quality, Environment and Technology Management, Bittium, Finland

İrem Hilavin, Work Package Leader Integration & Validation, SW Design Architect, Vestel, Turkey