2 research outputs found
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems
The Internet of Things (IoT) is a ubiquitous system connecting many different
devices - the things - which can be accessed from the distance. The
cyber-physical systems (CPS) monitor and control the things from the distance.
As a result, the concepts of dependability and security get deeply intertwined.
The increasing level of dynamicity, heterogeneity, and complexity adds to the
system's vulnerability, and challenges its ability to react to faults. This
paper summarizes state-of-the-art of existing work on anomaly detection,
fault-tolerance and self-healing, and adds a number of other methods applicable
to achieve resilience in an IoT. We particularly focus on non-intrusive methods
ensuring data integrity in the network. Furthermore, this paper presents the
main challenges in building a resilient IoT for CPS which is crucial in the era
of smart CPS with enhanced connectivity (an excellent example of such a system
is connected autonomous vehicles). It further summarizes our solutions,
work-in-progress and future work to this topic to enable "Trustworthy IoT for
CPS". Finally, this framework is illustrated on a selected use case: A smart
sensor infrastructure in the transport domain.Comment: preprint (2018-10-29
MetaAnalysis of Methods for Scaling Blockchain Technology for Automotive Uses
The automotive industry has seen an increased need for connectivity, both as
a result of the advent of autonomous driving and the rise of connected cars and
truck fleets. This shift has led to issues such as trusted coordination and a
wider attack surface have come to light, leading to higher costs and
bureaucratic interventions. Due to the increasing adoption of connected
vehicles, as well as other connected infrastructure, trustless peer to peer
systems including blockchain are being explored as potential solution to this
efficiency problem. All the while, scalability is still a significant concern
for industry players. Current blockchain based systems have difficulty scaling:
Bitcoin can only process seven transactions per second (tx/s) whereas
Ethereum's fifteen tx/s is not a major improvement. Combined with the high cost
of consensus and low throughput, such platforms are unusable with the mobility
sector. This paper will address the latest advances in the field that aim to
resolve parts of this problem as well as inform its readers about the
scalability technologies that could push blockchain automotive infrastructure
into the mainstream. This paper will also introduce the theoretical tools and
advancements that, if implemented, could bring the mobility industry closer
toward adopting efficient, scalable, and cost effective decentralized
solutions