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George R. S. Weir

Publications and source records attributed to George R. S. Weir.

4 recordsLinked to original sources

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.

cs.CR↗

Cloud Security and Security Challenges Revisited

In recent years, Cloud Computing has transformed local businesses and created new business models on the Internet- and Cloud services are still flourishing. But after the emphatic hype in the early years, a more realistic perception of Cloud services has emerged. One reason for this surely is that today, Cloud Computing is considered as an established and well-accepted technology and no longer as a technical novelty. But the second reason for this assessment might also be numerous security issues that Cloud Computing in general or specific Cloud services have experienced since then. In this paper, we revisit attacks on Cloud services and Cloud-related attack vectors that have been published in recent years. We then consider successful or proposed solutions to cope with these challenges. Based on these findings, we apply a security metric in order to rank all these Cloud-related security challenges concerning their severity. This should assist security professionals to prioritize their efforts toward addressing these issues.

cs.CR↗

Managing Forensic Recovery in the Cloud

As organisations move away from locally hosted computer services toward Cloud platforms, there is a corresponding need to ensure the forensic integrity of such instances. The primary reasons for concern are (i) the locus of responsibility, and (ii) the associated risk of legal sanction and financial penalty. Building upon previously proposed techniques for intrusion monitoring, we highlight the multi-level interpretation problem, propose enhanced monitoring of Cloud-based systems at diverse operational and data storage level as a basis for review of historical change across the hosted system and afford scope to identify any data impact from hostile action or 'friendly fire'.

cs.DC↗

Strategies for Intrusion Monitoring in Cloud Services

Effective activity and event monitoring is an essential aspect of digital forensic readiness. Techniques for capturing log and other event data are familiar from conventional networked hosts and transfer directly to the Cloud context. In both contexts, a major concern is the risk that monitoring systems may be targeted and impaired by intruders seeking to conceal their illicit presence and activities. We outline an approach to intrusion monitoring that aims (i)~to ensure the credibility of log data and (ii)~provide a means of data sharing that supports log reconstruction in the event that one or more logging systems is maliciously impaired.

cs.CR↗