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GLACIER project was presented at the international IDAACS conference 2021
  • GLACIER project was presented at the international IDAACS conference 2021

GLACIER project was presented at the international IDAACS conference 2021

The IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications (IDAACS) takes place every other year since 2001. Several IT topics (e.g. cyber security, machine learning and wireless) are presented and discussed. Main goal of the event is to provide a forum of highly professional reports in the fields of state of the art, new technologies, and applications. This year, DECOIT® and the University of Applied Sciences Hanover presented the GLACIER results. Due to the COVID-19 pandemic, the conference took place virtually, not as originally planned in Cracow, Poland.

 

Figure 1: Conference banner of the IDAACS 2021 Cracow, Poland
Figure 1: Conference banner of the IDAACS 2021 Cracow, Poland

The conference was officially opened by conference organizer, Anatoliy Sachenko. He stated that 314 reports were submitted, of which 219 were accepted. This equates to an acceptance ratio of 70 percent. Various topics were covered by the conference, whereas a great part was from the area of data analysis and models. Machine Learning (ML) was introduced as a new field of expertise, and ranked immediately as the third interesting topic of the conference, closely followed by cyber security. Most papers came from Ukraine, followed by China und Poland. Germany reached rank six from 41 countries. As Cracow could not be visited, virtual city tours were offered (e. g. https://visitkrakow.com). All participants hope they can meet in person next year again.

In the first keynote Prof. Antonio Luque (University Sevilla, Spain) reported that embedded systems, that are used to monitor medical systems, are becoming much smaller, and include chips that get cheaper.  With the approach „Lab-on-Chip“, a complete biological or chemical laboratory can be displayed on one chip.  These sensors can also be used as actuators, heater unit, reservoir or valves. Typically, the sensors are used to analyze substances on a chip, e. g. blood analysis.  But drugs or other substances can be created with their help as well. Thus, totally new methods of patient monitoring and treatment have been made possible.  

The session “cyber security”, that DECOIT® GmbH and the University of Applied Sciences Hanover took part in, dealt with better known monitoring systems in the field of IT. During the introductory lecture, Prof. Dr. Kai-Oliver Detken presented GLACIER and pointed out the necessity of SIEM systems. The newly developed SIEM architecture of the GLACIER project with the visualization of events and anomalies was explained in detail, followed by the presentation of use cases which are crucial for the definition of rules. Then, the field test, which was carried out in September at GLACIERs associated partner, was presented including first results.  The results showed that the SIEM architecture is stable, performant, and sufficiently scalable. Nevertheless, potential for improvement could still be identified regarding the load of issued tickets (events). The multi-dimensional anomaly detection by the University of Applied Sciences Hanover worked efficiently as Prof. Dr. Volker Ahlers presented during the following session.  Thereby, he also introduced the visualization of the anomaly detection which was developed by the University of Applied Sciences Hanover.

Figure 2: Final discussion with a range of participants
Figure 2: Final discussion with a range of participants

As many presentations dealt with data analysis, the big-data-problem took a great part of many discussions. Open source software was often seen as a chance to transform cloud computing into a neutral tool, and to use free algorithms for data analysis.  Machine learning (ML) and swarm intelligence ought to extract relevant information from the great amounts of data.  Examples of swarm intelligence in nature, e. g. from birds and insects, are analyzed in the field of ML development.  That is necessary because networks (100GE, 5G) are becoming bigger and thereby create more and more packages and data which cannot be analyzed with conventional means in real-time.

At the conclusion of the conference after three days, all participants agreed that all video conferences worked out fine but those cannot replace conversations in person. A conference lives on the exchange of ideas before and after presentations. Thus, all participants hope that they will be able to meet in person next time. Next event venue will be Dortmund, Germany.

 

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