As the manufacturing sector adopts Industry 4.0, the need arises for flexible and highly reliable wireless communication networks. 5G has been designed to support these industrial needs, but choosing the right deployment option is nontrivial. In this paper we empirically measure KPIs of three different commercially available 5G deployment options in the Aalborg University 5G Smart Production Lab and compare them in terms of the KPIs and deployment complexity. Option 1 being fully Non-Public Networks (NPN), option 2 using a private RAN connected to a public EPC through a WAN connection, and option 3 using private RAN and public EPC through IPsec. We find that NPN and PN 5G can deliver comparable performance in terms of latency, throughput and packet loss. As such PN 5G are found to be very competitive with NPN solutions, especially when considering upfront costs and complexity of maintenance. NPN is found to deliver best in class latency while having the advantage of total privacy.

Botnet research is one of the many research areas affected by the coming into force of the General Data Protection Regulation (GDPR). This article aims to identify the most appropriate legal bases that would legitimise data processing in the context of botnet tracking and to give an overview of the practical implications for practitioners. First, we give a technical introduction to botnet tracking techniques and the types of processed data. Afterward, we argue that botnet tracking qualifies as ”processing of personal data” and falls under the material scope of the GDPR. We then present three scenarios where these botnet tracking techniques apply: botnet tracking research in the public interest, botnet tracking in the commercial interest and botnet tracking conducted by Internet service providers. For each scenario, we discuss the differing goals, identify the appropriate legal bases, and elaborate on the practical implications. This article concludes that the legal implications are very different for each of the three scenarios, highlighting the importance of carefully considering the legal bases before engaging in botnet tracking.

The goal of the SOPHY framework (Simulation, Observation and Planning in Hybrid Systems) is to implement a multi-level framework for description, simulation, observation, fault detection and recovery, diagnosis and autonomous planning in distributed embedded hybrid systems. A Java-based distributed, hybrid simulator is implemented to demonstrate the virtues of SOPHY. The simulator is set up using subsystem models described in human readable XML combined with a composition structure allowing virtual interconnection of subsystems in a simulation scenario. The performance of the simulator has shown to be very dependent on the way its distributability is utilised revealing both the limitations and strengths introduced by delegating computation tasks in a distributed architecture.