Peter Strelec

Dr. Peter Strelec

Department of Computer Technology and Informatics, University of Ss. Cyril and Methodius in Trnava, Trnava, Trnavský, Slovakia
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 February 2021 in Electronics
Verified
Journal Article
Open access
PDF file
Tibor HorakTibor Horak
Tibor Horak
Peter StrelecPeter Strelec
Peter Strelec
Ladislav HurajLadislav Huraj
Ladislav Huraj
Pavol TanuškaPavol Tanuška
Pavol Tanuška
AVAndrea Václavová
Andrea Václavová
MKMichal Kebisek
Michal Kebisek
Internet of Things (IoT) devices are not only finding increasing use in ordinary households, but they have also become a key element for the Industry 4.0 concept. The implementation of industrial IoT devices into production streamlines the production process and reduces production costs. On the other hand, connected IoT devices bring new security risks to production and expose an industrial environment to new types of attacks. The article analyzes the vulnerability of the production line with implemented industrial IoT devices with consideration of a possible Distributed Denial-of-service (DDoS) attack led by attackers from the internet. Various types of DDoS attacks abusing the presence of IoT devices in the system were performed on an automated production line implementing sorting, preparation, and dosing of bulk and liquid materials for filling into containers. The leading attacks caused failure of the production line during the production, as well as the dysfunction of communication with IoT devices. The article also demonstrates the implementation of countermeasures against DDoS attacks and possible strategies to protect and mitigate such attacks on the production line.

19 February 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Ladislav HurajLadislav Huraj
Ladislav Huraj
Tibor HorakTibor Horak
Tibor Horak
Peter StrelecPeter Strelec
Peter Strelec
Pavol TanuškaPavol Tanuška
Pavol Tanuška
Industry 4.0 collects, exchanges, and analyzes data during the production process to increase production efficiency. Internet of Things (IoT) devices are among the basic technologies used for this purpose. However, the integration of IoT technology into the industrial environment faces new security challenges that need to be addressed. This is also true for a production line. The production line is a basic element of industrial production and integrating IoT equipment allows one to streamline the production process and thus reduce costs. On the other hand, IoT integration opens the way for network cyberattacks. One possible cyberattack is the increasingly widely used distributed denial-of-service attack. This article presents a case study that demonstrates the devastating effects of a DDOS attack on a real IoT-based production line and the entire production process. The emphasis was mainly on the integration of IoT devices, which could potentially be misused to run DDoS. Next, the verification of the proposed solution is described, which proves that it is possible to use the sampled flow (sFlow) stream to detect and protect against DDoS attacks on the running production line during the production process.

2 January 2022 in Sensors
Verified
Journal Article
Open access
PDF file
AVAndrea Václavová
Andrea Václavová
Peter StrelecPeter Strelec
Peter Strelec
Tibor HorakTibor Horak
Tibor Horak
MKMichal Kebisek
Michal Kebisek
Pavol TanuškaPavol Tanuška
Pavol Tanuška
Ladislav HurajLadislav Huraj
Ladislav Huraj
Today, Industrial Internet of Things (IIoT) devices are very often used to collect manufacturing process data. The integration of industrial data is increasingly being promoted by the Open Platform Communications United Architecture (OPC UA). However, available IIoT devices are limited by the features they provide; therefore, we decided to design an IIoT device taking advantage of the benefits arising from OPC UA. The design procedure was based on the creation of sequences of steps resulting in a workflow that was transformed into a finite state machine (FSM) model. The FSM model was transformed into an OPC UA object, which was implemented in the proposed IIoT. The OPC UA object makes it possible to monitor events and provide important information based on a client’s criteria. The result was the design and implementation of an IIoT device that provides improved monitoring and data acquisition, enabling improved control of the manufacturing process.

15 December 2022 in Sensors
Verified
Journal Article
Open access
PDF file
Tibor HorakTibor Horak
Tibor Horak
Peter StrelecPeter Strelec
Peter Strelec
MKMichal Kebisek
Michal Kebisek
Pavol TanuškaPavol Tanuška
Pavol Tanuška
AVAndrea Václavová
Andrea Václavová
Small- and medium-sized manufacturing companies must adapt their production processes more quickly. The speed with which enterprises can apply a change in the context of data integration and historicization affects their business. This article presents the possibilities of implementing the integration of control processes using modern technologies that will enable the adaptation of production lines. Integration using an object-oriented approach is suitable for complex tasks. Another approach is data integration using the entity referred to as tagging (TAG). Tagging is essential to apply for fast adaptation and modification of the production process. The advantage is identification, easier modification, and generation of data structures where basic entities include attributes, topics, personalization, locale, and APIs. This research proposes a model for integrating manufacturing enterprise data from heterogeneous levels of management. As a result, the model and the design procedure for data integrating production lines can efficiently adapt production changes.


23 December 2022 in IEEE Access
Verified
Journal Article
Open access
Peter StrelecPeter Strelec
Peter Strelec
Tibor HorakTibor Horak
Tibor Horak
SKSzabolcs Kováč
Szabolcs Kováč
ENEduard Nemlaha
Eduard Nemlaha
Pavol TanuškaPavol Tanuška
Pavol Tanuška
This article proposes a digital twin design using a finite state machine (FSM) that can be integrated and used for the simulation requirements of a production process. The FSM used to introduce the proposed concept can create a fully fledged digital twin. The design of the state machine ensures the functionality of the control systems, parts of the production line, and the associated Internet of Things (IoT) devices. The concept can be extended using an interface that can communicate at the level of the required protocol, thereby ensuring the possibility of integration into the production line. The digital twin can be used as a model and basic platform to develop an IoT hardware device. The advantage of this system is that its implementation can be verified with or without a physical prototype. It is possible to test hybrid implementation, where hardware elements are partially integrated into the software model created based on FSM. The design of the IoT device was verified on a production line, where it was adaptively controlled the delivery rate of material for sorting. It introduces an opportunity to test or simulate a possible planned change in production infrastructure, in which it is possible to better understand the solution and verify the expected changes and their effect on production. The design can be fully used in accordance with Industry 4.0.