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27 Papers

A Reference Process Model for Machine Learning Aided Production Quality Management

Topics: Industrial Applications of Artificial Intelligence; Operational Research

Authors: Alexander Gerling 1 , Ulf Schreier 2 , Andreas Hess 2 , Alaa Saleh 1 , Holger Ziekow 2 and Djaffar Abdeslam 3

Affiliations: 1 Business Information Systems, Furtwangen University of Applied Science, 78120 Furtwangen, Germany, IRIMAS Laboratory, Université de Haute-Alsace, 68100 Mulhouse, France, Université de Straßbourg, France , 2 Business Information Systems, Furtwangen University of Applied Science, 78120 Furtwangen, Germany , 3 IRIMAS Laboratory, Université de Haute-Alsace, 68100 Mulhouse, France, Université de Straßbourg, France

Digital Object Identifier: 10.5220/0009379705150523

Proceedings of ICEIS 2020, ISBN: 978-989-758-423-7

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The importance of machine learning (ML) methods has been increasing in recent years. This is also the reason why ML processes in production are becoming more and more widespread. Our objective is to develop a ML aided approach supporting production quality. To get an overview, we describe the manufacturing domain and use a visualization to explain the typical structure of a production line. Within this section we illustrate and explain the as-is process to eliminate an error in the production line. Afterwards, we describe a careful analysis of requirements and challenges for a ML system in this context. A basic idea of the system is the definition of product testing meta data and the exploitation of this knowledge inside the ML system. Also, we define a to-be process with ML system assistance for checking production errors. For this purpose, we describe the associated actors and tasks as well.

A Fog-Cloud Computing Infrastructure for Condition Monitoring and Distributing Industry 4.0 Services

Topics: Edge Cloud Orchestration; Cluster Management; Edge Cloud Network Management; Edge Cloud Data Management; IoT-Cloud Integration

Authors: Timo Bayer , Lothar Moedel and Christoph Reich

Affiliation: Institute of Cloud Computing and IT Security, University of Applied Science, 78120 Furtwangen and Germany

Digital Object Identifier: 10.5220/0007584802330240

Proceedings of CLOSER 2019, ISBN: 978-989-758-365-0

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Data-driven Industry 4.0 applications require low latency data processing and reliable communication models to enable efficient operation of production lines, fast response to failures and quickly adapt the manufacturing process to changing environmental conditions. Data processing in the Cloud has been widely accepted and in combination with Fog technologies, it can also satisfy these requirements. This paper investigates the placement of service containers and wheater they should be carried out in the Cloud or at a Fog node. It shows how to provide an uniform well-monitored execution environment to automatically distribute services concerning their application-specific requirements. An infrastructure is presented, that utilizes measurement probes to observe the node and environmental conditions, derive and evaluate appropriate distribution algorithms and finally deploy the application services to the node that meets the requirements.

Privacy Enhancing Data Access Control for Ambient Assisted Living

Topics: Service Platforms; Privacy, Security and Trust; Access Control; Monitoring of Services, Quality of Service, Service Level Agreements

Authors: Hendrik Kuijs 1 , Timo Bayer 1 , Christoph Reich 1 , Martin Knahl 1 and Nathan Clarke 2

Affiliations: 1 Institute for Cloud Computing and IT Security, Furtwangen University, Furtwangen and Germany , 2 Centre for Security, Communications and Network Research, Plymouth University, Plymouth and U.K.

Digital Object Identifier: 10.5220/0007735804480455

Proceedings of CLOSER 2019, ISBN: 978-989-758-365-0

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As private data is key to applications in the field of Ambient Assisted Living, access control has to be in place to regulate data flows within the environment and to preserver the privacy of a user. We present a data access control system based on an easy to understand policy language with the ability to be extended by context information. Context information are enabling applications in the field of Ambient Assisted Living to adapt their behaviour to temporal, emergency or environmental conditions. The system is able to monitor and control data flows in OSGi environments by proxy services, without the need of modifying the core platform or the service logic of bundles. This is necessary to inform data subjects, to enable the data subject to control the environment and to enforce data access policies that are compatible with legal requirements.

Rule-based Security Monitoring of Containerized Workloads

Topics: Privacy, Security and Trust; High Performance Computing Cloud Applications ; Use Cases , Experiences with HPC Clouds; Security, Privacy and Compliance Management; Virtualization Technologies; Application Containers

Authors: Holger Gantikow 1 , Christoph Reich 2 , Martin Knahl 3 and Nathan Clarke 4

Affiliations: 1 Science+Computing ag, Atos, Tuebingen and Germany , 2 Institute for Cloud Computing and IT Security, Furtwangen University, Furtwangen, DE and Germany , 3 Faculty of Business Information Systems, Furtwangen University, Furtwangen, DE and Germany , 4 Center for Security, Communications and Network Research, Plymouth University, Plymouth and U.K.

Digital Object Identifier: 10.5220/0007770005430550

Proceedings of CLOSER 2019, ISBN: 978-989-758-365-0

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In order to further support the secure operation of containerized environments and to extend already established security measures, we propose a rule-based security monitoring, which can be used for the detection of a variety of misuse and attacks. The capabilities of the open-source tools used to monitor containers are closely examined and the possibility of detecting undesired behavior is evaluated on the basis of various scenarios. Further, the limits of the approach taken and the associated performance overhead will be discussed. The results show that the proposed approach is effective in many scenarios and comes at a low performance overhead cost.

Access Rules Enhanced by Dynamic IIoT Context

Topics: System design and implementation; Intrusion and detection techniques; Trust and privacy; Adoption challenges and recommendation; Emerging issues and recommendations for organizational security; Architecture (technical or organizational)

Authors: Kevin Wallis , Marc Hüffmeyer , Ayhan Soner Koca and Christoph Reich

Affiliation: University of Applied Sciences Furtwangen, Germany

Digital Object Identifier: 10.5220/0006688502040211

Proceedings of IoTBDS 2018, ISBN: 978-989-758-296-7

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The Industrial Internet of Things is a fast-growing business with many opportunities but also security risks. For instance, a crucial risk is an attack on customer’s or company’s internal data to violate the integrity, like order information or machine configurations. In addition, an attacker could inject packets which contain harmful manufacturing machine tool commands. This work introduces a novel rule-based approach which uses subcontexts of the Industrial Internet of Things (IIoT) context for deep packet inspection to protect the privacy of data and to increase the resilience of the system against attacks. Furthermore, formal definitions for the Industrial Internet of Things context, subcontexts and context rules have been investigated and developed. The subcontexts are used in combination with a new protocol called context enhancement protocol, to add context information to packets.

Authorization-aware HATEOAS

Topics: Web Services; Service Innovation; Service-oriented Architecture; Service Platforms; Service Modeling and Specification; Services Security and Reliability; Privacy, Security and Trust; Access Control

Authors: Marc Hüffmeyer 1 , Florian Haupt 2 , Frank Leymann 2 and Ulf Schreier 1

Affiliations: 1 Hochschule Furtwangen, Germany , 2 University of Stuttgart, Germany

Digital Object Identifier: 10.5220/0006683700780089

Proceedings of CLOSER 2018, ISBN: 978-989-758-295-0

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The architectural style named Representational State Transfer (REST) is nowadays widely established and still enjoys a growing popularity. One of the core principles of REST is referred as ”Hypermedia as the Engine of Application State” (HATEOAS). HATEOAS is one of the foundations of the scalability that RESTful systems provide and enables the decoupling of client and server. But the realization of HATEOAS is challenging, because there is no systematic approach how to enforce the constraint. Therefore, the implementation is mostly up to the developer of a RESTful service. This work describes a new method of how to apply the HATEOAS constraint. We describe a method that systematically enables HATEOAS based on REST API models and the integration of access control mechanisms. In order to avoid unauthorized access attempts and unnecessary network traffic, the resource representations are customized to the requesting subject. References that lead to not accessible resources, are not included in the customized resource representations. Therefore, an attribute based access control mechanism is extended to distinguish between static and dynamic attributes. A 2-phase authorization procedure is introduced that relies on this discrimination and determines the references which must be included in the resource representation. The result is a flexible realization of HATEOAS based on formal models.
Collapse Button Related Ontology Subjects/Areas/Topics (14)
Cloud Computing

Mobile Software and Services

Software Engineering Methods and Techniques

Collaboration and e-Services

Ontologies and the Semantic Web

Telecommunications

Data Engineering

Services Science

Web Services

e-Business

Software Agents and Internet Computing

Wireless Information Networks and Systems
Enterprise Information Systems

Software Engineering

Towards an Ontological Representation of Condition Monitoring Knowledge in the Manufacturing Domain

Topic: Ontology Engineering

Authors: Qiushi Cao 1 , Cecilia Zanni-Merk 1 and Christoph Reich 2

Affiliations: 1 Normandie Université, INSA Rouen, LITIS, 76000 Saint- Étienne-du-Rouvray and France , 2 Hochschule Furtwangen University, 78120 Furtwangen and Germany

Digital Object Identifier: 10.5220/0006957903120318

Proceedings of KEOD 2018, ISBN: 978-989-758-330-8

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In the manufacturing domain, machinery faults cause a company high costs. To avoid faulty conditions, the discipline of condition monitoring contributes significantly. The objective of condition monitoring is to determine the correctness of a machine, process or system. This is crucial for improving the productivity and availability of production systems. In most situations, when the tendency of a fault emerges, highly experienced and skilled professionals are capable of providing appropriate decisions about fault alarm launching and maintenance plans. However, production systems are becoming more complicated, and it is more likely that the professionals fail to respond to the faulty conditions timely and accurately. In this paper, we present an ontological framework, that is used for developing an intelligent system, which can provide decisions about alarm launching and maintenance plans in an intelligent and optimal manner. This framework is based on an ontological representation of condition monitoring knowledge in the manufacturing domain. The framework consists of an ontology structure which includes a core reference ontology for representing general condition monitoring concepts and relations, and several domain ontologies for formalizing manufacturing domain-specific knowledge.
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Artificial Intelligence

Information Systems Analysis and Specification

Ontologies and the Semantic Web

Data Engineering

Knowledge Engineering and Ontology Development

Ontology Engineering

Enterprise Information Systems

Knowledge-Based Systems

Symbolic Systems

Outsourcing Access Control for a Dynamic Access Configuration of IoT Services

Topics: Software Architecture and Middleware ; Security, Privacy and Trust ; Performance Evaluation and Modeling ; Security as a Service including any Algorithms, Methodology and Software Proof-of-concepts; Architecture for secure and interactive IoT; IoT Services and Applications; Algorithms, software engineering and development; System design and implementation; Trust and privacy; Information systems related issues

Authors: Philipp Montesano , Marc Hueffmeyer and Ulf Schreier

Affiliation: Hochschule Furtwangen University, Germany

Digital Object Identifier: 10.5220/0006257000590069

Proceedings of IoTBDS 2017, ISBN: 978-989-758-245-5

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The paper describes a lightweight mechanism for authorizing access to IoT resources within distributed systems. As more and more IoT devices arise, the demand for privacy and security increases. But since current solutions are developed for conventional devices, the paper pursues the target of simplifying and applying approved technologies, such as OAuth, to meet special requirements of IoT devices. Therefore, the implemented architecture follows the idea of sourcing the access control logic out, simplifying the logic of the IoT device. Furthermore, the great diversity and fast change of IoT environments is supported by flexible policies and a dynamic and scalable access control system. Performance tests show that sourcing the access control logic out also helps to reduce the amount of consumed memory on an IoT device, in case that complex access logic is given.

SitAC – A System for Situation-aware Access Control - Controlling Access to Sensor Data

Topics: Web Applications and Services; Access and Usage Control

Authors: Marc Hüffmeyer 1 , Pascal Hirmer 2 , Bernhard Mitschang 2 , Ulf Schreier 1 and Matthias Wieland 2

Affiliations: 1 Hochschule Furtwangen University, Germany , 2 Universität Stuttgart, Germany

Digital Object Identifier: 10.5220/0006186501130125

Proceedings of ICISSP 2017, ISBN: 978-989-758-209-7

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This paper addresses situation-aware access control for sensitive data produced in sensor networks. It describes how an attribute-based access control system can be combined with a situation recognition system to create a highly flexible, well performing, and situation-aware access control system. This access control system is capable of automatically granting or prohibiting access depending on situation occurrences and other dynamic or static security attributes. Besides a high-level architecture, this work also describes concepts and mechanisms that can be used to build such a system.

A Scalable Architecture for Distributed OSGi in the Cloud

Topics: Cloud Computing Architecture; Cloud Application Scalability and Availability; Cloud Scenarios

Authors: Hendrik Kuijs 1 , Christoph Reich 1 , Martin Knahl 1 and Nathan Clarke 2

Affiliations: 1 Furtwangen University, Germany , 2 Plymouth University, United Kingdom

Digital Object Identifier: 10.5220/0005810301090117

Proceedings of CLOSER 2016, ISBN: 978-989-758-182-3

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Elasticity is one of the essential characteristics for cloud computing. The presented use case is a Software as a Service for Ambient Assisted Living that is configurable and extensible by the user. By adding or deleting functionality to the application, the environment has to support the increase or decrease of computational demand by scaling. This is achieved by customizing the auto scaling components of a PaaS management platform and introducing new components to scale a distributed OSGi environment across virtual machines. We present different scaling and load balancing scenarios to show the mechanics of the involved components.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Cloud Application Scalability and Availability

Cloud Computing Architecture

Fundamentals

Cloud Computing

Cloud Scenarios

Platforms and Applications

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