en.acecybersafe.se Open in urlscan Pro
46.16.234.221  Public Scan

Form analysis
0 forms found in the DOM

Text Content

 * Home
 * News
 * Publications
 * Partners
 * Take part
 * Contact





MENU

 * Home
 * News
 * Publications
 * Partners
 * Take part
 * Contact




FILTERS

 * All Posts 0


FILTERS

 * All 0
 * Audio 0
 * Gallery 0
 * Standard 0
 * Video 0



ACE Cybersafe The project addresses cyber security in the connected properties
of the future with coexisting IoT systems for various functions in a building
automation system (BMS) where cyber security in subsystems need to be monitored
and orchestrated based on the security solutions that each subsystem applies.
The interfaces between the systems need to be monitored to detect abnormal
activity which may involve malfunction or malicious influence on a subsystem
that endangers BMS functions, this includes authentication of all
sub-functions/system components and signing of commands and data flows. From a
Security-by-design perspective, the work will focus on systems-of-systems
security where there are complex dependencies between functions and several
supplier levels involved. We will introduce processes and methods to
ErrorDetectionIdentification system which means to detect both cyber threats as
well as malfunction due to failing system function. The method of
ErrorDetectionIdentification is based on analysis of systems with correct
operational capability to be able to identify anomalies and take appropriate
action when required. ACE Cybersafe The project will be applied in an ongoing
construction at Campus Skellefteå, under the name ACE building by creating an
experimental test bed with functions that enable research and innovations of
cyber security studies where real property systems are included. Results of the
project will be made available in the form of a test bed equipped with
state-of-the-art technology with several IoT systems that communicate with a BMS
functionality and with accessibility to datasets, ML/AI methods and
visualization/dash-boards that enables custom extensions for experiments. ACE
Cybersafe







BACKGROUND

The project’s background takes its starting point in the growing trend of
connected properties that utilize IoT technology to streamline and automate
various building functions for example energy supply, energy production (e.g.
solar cells), ventilation, lock/passer systems and alarm systems.

This development creates a complex systems-of-systems structure where several
subsystems with different industrial suppliers and security solutions must be
able to coexist and communicate within one and the same building automation
system (BMS).

Modern properties can also communicate with each other in blocks or clusters
where they exchange data and different types of energy. These individual or
clusters of properties in their turn communicate with the power grid for
frequency regulation, flex market and similar services that are critical to the
power grid and society at large.




CHALLENGE

A challenge is how these coexisting systems can be secured against cyber threats
and other forms of disruption without compromising their basic functions. It is
common for each subsystem to have its own set of security solutions, creating a
heterogeneous and complex environment that can be difficult to monitor and
protect effectively, thereby creating potential vulnerabilities.
Today’s systems need to use sensors together in a resource-efficient way, which
also places demands on the sharing of data. In this context, it becomes
necessary to develop comprehensive security strategies that are not only robust
and adaptable, but also applicable to a diversity of subsystems.



It will also be critical to be able to identify and differentiate between cyber
threats and malfunctions that may be the result of system failures rather than
malicious attacks.


WHAT DO WE WANT TO ACHIEVE?

The project aims to create a harmonized and robust architecture with an
associated test bed for a cyber security infrastructure regarding the connected
properties of the future consisting of fully or partially autonomous subsystems,
while at the same time contributing to the scientific and technical knowledge
base in the area.
The testbed will be implemented in a new modern property with state-of-the-art
technologies


 * IOT AND IOT SECURITY
   
   We work on tools for connecting and authenticating IoT devices, eg. sensors,
   that are useful if you need your own IoT devices to develop your services. We
   also monitor the communication to ensure that no one has hacked in and taken
   over your device.
   
   


 * ERRORDECTECTIONINDICATION
   
   The method of ErrorDectectionIndication is based on analysis of systems with
   proper operational capability to be able to identify anomalies and take
   appropriate action when required.
   
   


 * MACHINE LEARNING
   
   We work with machine learning to automatically recognize what are normal
   patterns in data, and what are deviations.
   
   


 * SUMMARY
   
   Increased cyber security and resilience in connected properties with
   heterogeneous systems through anomaly detection, authentication and integrity
   control of functions and data.
   
   


THE IDEA OF THE PROJECT

The project will work with, develop and apply a testbed for
ErrorDetectingIdentification in order to work with methods for detecting
anomalies in property controls and operation that can be due to both
malfunctioning and a malicious cyber impact on the property. For the detection
of anomalies, both data on subsystem operational functions will be included and
that ”normal” operational function is monitored for
to create profiles regarding normal operation where we apply time series
analysis with machine learning (ML) methods and artificial intelligence (AI) to
identify deviations large enough to be considered anomalies.
An important part in identifying anomalies is that there is correct decision
support, this requires authentication of system functions and integrity of the
data that is shared. For authentication of system functions and data integrity,
we will use blockchains that involve distributed consensus, which means that
individual system functions should not be able to execute malicious or incorrect
functions where different consensus methods such as ”proof-of-authority” and
”federated consensus” will be included and being studied.erty operations and
use.


THE PROJECT'S POTENTIAL

The project aims to contribute to an increased degree of maturity regarding
property management and connected/smart properties and neighborhoods where the
majority of systems exist and cooperation between these is required to
effectively manage and secure a sustainable operation where safety, security and
integrity with the connection to, for example, the energy system becomes
socially critical. We have a system-of-systems approach where each subsystem has
its own autonomous functions and security solutions that contribute to the
overall property function but where we have identified the need for a holistic
cyber security approach for sufficient systems-of-systems security.
The project will also contribute to the awareness of the need for
”security-by-design”, which we believe will crystallize in the experiments that
will take place. The project’s results will be made available in the form of a
test bed provided to actors in the area where the property, (ACE building), that
constitutes the physical platform for the project is made available based on the
data sets that subsystems create and the security functionality (including
detecting both cyber threats and malfunctions) that is worked out in the
project.





© 2016 Sense Smart Region