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Simon Liebl

Publications and source records attributed to Simon Liebl.

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Introducing the Cyber-Physical Data Flow Diagram to Improve Threat Modelling of Internet of Things Devices

A growing number of Internet of Things (IoT) devices are used across consumer, medical, and industrial domains. They interact with their environment through sensors and actuators and connect to networks such as the Internet. Because sensors may collect sensitive data and actuators can trigger physical actions, security, privacy, and safety are major challenges. Threat modelling can help identify risks, but established IT-focused methods transfer to the IoT only to a limited extent. In this paper, a new modelling technique specifically for IoT devices called Cyber-Physical Data Flow Diagram (CPDFD) is proposed that also allows modelling of hardware with the aim to support manufacturers in identifying threats and developing countermeasures. The technique was examined through an experimental study and a survey with interviews. The results suggest that numerous other attack scenarios can be found through the modelling technique, improving the identification of threats to IoT devices.

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Threat Analysis of Industrial Internet of Things Devices

As part of the Internet of Things, industrial devices are now also connected to cloud services. However, the connection to the Internet increases the risks for Industrial Control Systems. Therefore, a threat analysis is essential for these devices. In this paper, we examine Industrial Internet of Things devices, identify and rank different sources of threats and describe common threats and vulnerabilities. Finally, we recommend a procedure to carry out a threat analysis on these devices.

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Analyzing the Attack Surface and Threats of Industrial Internet of Things Devices

The growing connectivity of industrial devices as a result of the Internet of Things is increasing the risks to Industrial Control Systems. Since attacks on such devices can also cause damage to people and machines, they must be properly secured. Therefore, a threat analysis is required in order to identify weaknesses and thus mitigate the risk. In this paper, we present a systematic and holistic procedure for analyzing the attack surface and threats of Industrial Internet of Things devices. Our approach is to consider all components including hardware, software and data, assets, threats and attacks throughout the entire product life cycle.

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A Secure and Privacy-Friendly Logging Scheme

Finding a robust security mechanism for audit trail logging has long been a poorly satisfied goal. There are many reasons for this. The most significant of these is that the audit trail is a highly sought after goal of attackers to ensure that they do not get caught. Thus they have an incredibly strong incentive to prevent companies from succeeding in this worthy aim. Regulation, such as the European Union General Data Protection Regulation, has brought a strong incentive for companies to achieve success in this area due to the punitive level of fines that can now be levied in the event of a successful breach by an attacker. We seek to resolve this issue through the use of an encrypted audit trail process that saves encrypted records to a true immutable database, which can ensure audit trail records are permanently retained in encrypted form, with no possibility of the records being compromised. This ensures compliance with the General Data Protection Regulation can be achieved.

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