5,324 research outputs found
On the Role of Primary and Secondary Assets in Adaptive Security: An Application in Smart Grids
peer-reviewedAdaptive security aims to protect valuable assets
managed by a system, by applying a varying set of security
controls. Engineering adaptive security is not an easy task. A
set of effective security countermeasures should be identified.
These countermeasures should not only be applied to (primary)
assets that customers desire to protect, but also to other
(secondary) assets that can be exploited by attackers to harm
the primary assets. Another challenge arises when assets vary
dynamically at runtime. To accommodate these variabilities, it
is necessary to monitor changes in assets, and apply the most
appropriate countermeasures at runtime. The paper provides
three main contributions for engineering adaptive security.
First, it proposes a modeling notation to represent primary
and secondary assets, along with their variability. Second,
it describes how to use the extended models in engineering
security requirements and designing required monitoring functions.
Third, the paper illustrates our approach through a set
of adaptive security scenarios in the customer domain of a
smart grid. We suggest that modeling secondary assets aids
the deployment of countermeasures, and, in combination with
a representation of assets variability, facilitates the design of
monitoring function
GREEND: An Energy Consumption Dataset of Households in Italy and Austria
Home energy management systems can be used to monitor and optimize
consumption and local production from renewable energy. To assess solutions
before their deployment, researchers and designers of those systems demand for
energy consumption datasets. In this paper, we present the GREEND dataset,
containing detailed power usage information obtained through a measurement
campaign in households in Austria and Italy. We provide a description of
consumption scenarios and discuss design choices for the sensing
infrastructure. Finally, we benchmark the dataset with state-of-the-art
techniques in load disaggregation, occupancy detection and appliance usage
mining
Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions
Traditional power grids are being transformed into Smart Grids (SGs) to
address the issues in existing power system due to uni-directional information
flow, energy wastage, growing energy demand, reliability and security. SGs
offer bi-directional energy flow between service providers and consumers,
involving power generation, transmission, distribution and utilization systems.
SGs employ various devices for the monitoring, analysis and control of the
grid, deployed at power plants, distribution centers and in consumers' premises
in a very large number. Hence, an SG requires connectivity, automation and the
tracking of such devices. This is achieved with the help of Internet of Things
(IoT). IoT helps SG systems to support various network functions throughout the
generation, transmission, distribution and consumption of energy by
incorporating IoT devices (such as sensors, actuators and smart meters), as
well as by providing the connectivity, automation and tracking for such
devices. In this paper, we provide a comprehensive survey on IoT-aided SG
systems, which includes the existing architectures, applications and prototypes
of IoT-aided SG systems. This survey also highlights the open issues,
challenges and future research directions for IoT-aided SG systems
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