Mathias Strufe

Mathias Strufe
Deutsches Forschungszentrum für Künstliche Intelligenz | DFKI · Intelligent Networks

Diplom (FH)

About

21
Publications
2,250
Reads
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199
Citations
Citations since 2016
20 Research Items
199 Citations
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Publications

Publications (21)
Article
Full-text available
To meet the radical technical requirements specified by ITU-R IMT-2020, the fifth Generation (5G) mobile system will become more complicated and heterogeneous. It imposes a great challenge on today's network managing approaches, which are already costly, vulnerable, time-consuming and therefore inap-plicable to the 5G system. By applying machine le...
Preprint
Complexity and heterogeneity of the fifth generation (5G) and beyond mobile systems impose a great challenge on current network managing approaches, which are vulnerable, time-consuming and costly. The state-of-the-art research direction in this field is to apply machine learning (ML) techniques to realize intelligent and highly self-organized netw...
Preprint
Complexity and heterogeneity of the fifth generation (5G) and beyond mobile systems impose a great challenge on current network managing approaches, which are vulnerable, time-consuming and costly. The state-of-the-art research direction in this field is to apply machine learning (ML) techniques to realize intelligent and highly self-organized netw...
Article
Full-text available
The increasing demand for highly customized products, as well as flexible production lines, can be seen as trigger for the “fourth industrial revolution”, referred to as “Industry 4.0”. Current systems usually rely on wire-line technologies to connect sensors and actuators, but new use cases such as moving robots or drones demand a higher flexibili...
Conference Paper
Next Generation Mobile Networks (NGMNs) are entering existing and future (industrial) wireless Networks, associated with advantages such as higher data throughput, low latency, operation in almost real-time and the microcell approach. But, this also comes with drawbacks in form of new attack vectors and security threats. Within this work, Physical...
Preprint
With the advent of the Internet-of-Things (IoT) together with the fourth industrial revolution and its fusion of technologies into so-called Cyber Physical Production Systems (CPPS) and Industrial Internet of Things (IIoT) new application scenarios arise. Due to the driving forces of mobility and flexibility, the number of interconnected entities i...
Conference Paper
Full-text available
In the context of a rapidly changing and increasingly complex (industrial) production landscape, securing the (commu-nication) infrastructure is becoming an ever more important but also more challenging task - accompanied by the application of radio communication. A worthwhile and promising approach to overcome the arising attack vectors, and to ke...
Conference Paper
There is currently a jolt through the industrial landscape, based on the actual developments in the field of Cyber-Physical Production Systems (CPPS) and the Industrial Internet of Things (IIoT). New application scenarios within these Factories of the Future, such as Machine-to-Machine (M2M) and Machine-to-Service (M2S) communication burst the trad...
Conference Paper
Full-text available
The industrial landscape is currently in a state of upheaval. The changes and actual developments within Cyber- Physical Production Systems (CPPSs), the Industrial Internet of Things (IIoT) and the Industrial Automation and Control Systems (IACSs) burst the traditional communication links. There are a multitude of sensors and actuators which must b...
Preprint
The concept of Industry 4.0 brings a disruption into the processing industry. It is characterised by a high degree of intercommunication, embedded computation, resulting in a decentralised and distributed handling of data. Additionally, cloud-storage and Software-as-a-Service (SaaS) approaches enhance a centralised storage and handling of data. Thi...
Preprint
The increasing demands for highly individual products as well as for flexible production lines represent new challenges. To address these demands, future plants must be highly flexible and dynamically reconfigurable. Current systems are usually based on wired technologies for the connection of sensors, actuators, and controlling or monitoring devic...
Conference Paper
In this paper, a wireless test bed for demonstrating intelligent management in virtualized network infrastructure is presented. To instantiate virtual networks on demand including Network Function Virtualization (NFV) OpenStack is applied. In addition, OpenAirInterface (OAI) is integrated into the test bed to support realistic wireless scenarios. T...
Article
Full-text available
Efficient network management is one of the key challenges of the constantly growing and increasingly complex wide area networks (WAN). The paradigm shift towards virtualized (NFV) and software defined networks (SDN) in the next generation of mobile networks (5G), as well as the latest scientific insights in the field of Artificial Intelligence (AI)...
Conference Paper
The maintenance and management for the current Fourth Generation (4G) networks are still in a manual and semi-automatic manner, which are costly and time-consuming. This imposes a great challenge on the network management of heterogeneous, software-defined and virtualized Fifth Generation (5G) systems. With the advent of network intelligence, a pos...
Conference Paper
The Fifth Generation (5G) system is envisioned to become more complicated, which imposes a great challenge on network management. But today’s manual and semi-automatic managing approaches are already costly and time-consuming.Thanks to new technologies, such as software-defined networking and network function virtualization, a possibility of autono...

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Cited By

Projects

Projects (2)
Project
Evaluation of AI based solutions for network security (considering wide area and industrial networks, considering network functions as well as network infrastructure)
Archived project
The SELFNET project will design and implement an autonomic network management framework to achieve self-organizing capabilities in managing network infrastructures by automatically detecting and mitigating a range of common network problems that are currently still being manually addressed by network operators, thereby significantly reducing operational costs and improving user experience. SELFNET explores a smart integration of state-of-the-art technologies in Software-Defined Networks (SDN), Network Function Virtualization (NFV), Self-Organizing Networks (SON), Cloud computing, Artificial intelligence, Quality of Experience (QoE) and Nextgeneration networking to provide a novel intelligent network management framework that is capable of assisting network operators in key management tasks: automated network monitoring by the automatic deployment of NFV applications to facilitate system-wide awareness of Health of Network metrics to have more direct and precise knowledge about the real status of the network; autonomic network maintenance by defining high-level tactical measures and enabling autonomic corrective and preventive actions against existing or potential network problems. For more information: https://selfnet-5g.eu/ SELFNET is supported by the European Commission Horizon 2020 Programme under grant agreement number H2020-ICT-2014-2/671672