Zsombor Petho

@auto.bme.hu

Department of Automotive Technologies / Faculty of Transportation Engineering anf Vehicle Engineering
Department of Automotive Technologies

Zsombor Petho


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https://researchid.co/zsomborpetho

EDUCATION

Phd [2019-2023]- Budapest University of Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering
MSc [2016-2019] - Budapest University of Technology and Economics, Faculty of Electrical Engineering, Control Engineering
BSc [2012-2016] - Technical University of Cluj Napoca, Faculty of Electrical Engineering, Electrical Engineering (Electromechanics)

RESEARCH, TEACHING, or OTHER INTERESTS

Automotive Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Multidisciplinary
15

Scopus Publications

183

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Effective Anomaly Intrusion Detection System Based on ML Methods in Vehicular Networks
    Roland Nagy, Zsombor Pethő, Árpád Török
    Lecture Notes in Networks and Systems, 2025
  • Investigating the Safety Effects of Degraded Wireless Performance on Connected Longitudinal Driver Assistance Functions
    Roland Nagy, Zsombor Pethő, Tamás Kazár, Tibor Turóczi, Árpád Török
    International Conference on Vehicle Technology and Intelligent Transport Systems Vehits Proceedings, 2025
    : In the near future, Vehicle-to-Everything (V2X) based technologies will enable vehicles and other road users to exchange information with each other, even in cases where the applicability of other sensors is limited. This technology will be able to ensure the operation of advanced driver assistance systems, in cases where the other sensors are malfunctioning. In such situations, where only wireless communication can be relied upon, it is essential to be able to react to possible changes in network performance metrics. The objective of this paper is to address the aforementioned problem by characterizing the safety-risk associated with vehicle dynamic parameters and the factors influencing the network performance metrics in different scenarios. The network can be divided into seven distinct layers that are responsible for data transmission, and the research primarily focuses on the physical layer, with the objective of studying its impact on the packets sent. In the research, the Signal-to-Noise Ratio (SNR) is considered to be the primary network influencing parameter. This will facilitate the enhancement of not only the safety of transportation but also its reliability.
  • Applying DNN Model for V2X Communication Anomaly Detection
    Afrifa Ebenezer Kwaku Oppong, Gyamfi Frimpong Silas, Zsombor Pethő, Tamás Márton Kazár, Árpád Török
    Lecture Notes in Networks and Systems, 2025
  • Performance Evaluation of a Parallel Simulation Framework for V2X Testing
    Andrea Marchetta, Tamás Márton Kazár, Angelo Coppola, Zsombor Pethő, Zsolt Szalay, Árpád Török
    2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems Mt ITS 2025, 2025
    This paper proposes a parallel simulation framework for the advanced testing of connected and automated vehicle (CAV) systems. The platform integrates an orchestrator framework, open-source network and traffic simulator, and industrial Hardware-in-the-Loop system, thereby providing a synchronised environment for the study of traffic behaviours, communication delays, and vehicle dynamics. The integration of message broker services and real V2X communication processes facilitates capturing message timing and network-induced delays. The incorporation of accurate environmental modelling, including physical obstacle placement, ensures realistic representation of propagation and shadowing effects. This simulation environment enables comprehensive performance evaluation of CAV applications under various traffic and network conditions, offering insights into latency-critical scenarios. The proposed approach addresses the disparity between theoretical analysis and practical implementation, thus facilitating the development of resilient and efficient vehicle technologies through the provision of precise latency and performance measurements.
  • Evaluating V2X-Based Vehicle Control under Unreliable Network Conditions, Focusing on Safety Risk
    Roland Nagy, Árpád Török, Zsombor Pethő
    Applied Sciences Switzerland, 2024
    With the emergence of Vehicle-to-Everything (V2X) systems, it is important to investigate how deteriorating network parameters affect vehicle functionality based on wireless communication. It is important to determine how we can prevent the performance degradation of these functions and ensure safety on the roads. This paper examines the potential for enhancing the performance of a connected vehicle function by considering network parameters in the control algorithm. In order to achieve this, a safety indicator was incorporated into the control algorithm, which takes into account both vehicle dynamics and network parameters. Following an assessment of the proposed control method, it was determined that it is a suitable approach for enhancing the performance of the vehicle function.
  • Mixed-reality VANET testing supported by simulation of mesoscopic V2X communication
    Tamás Ormándi, Zsombor Pethő, Balázs Varga
    10th 2024 International Conference on Control Decision and Information Technologies Codit 2024, 2024
    As connectivity of road traffic grows, so does the concern for its reliability and security. On the other hand, real-world testing of large-scale vehicular ad-hoc networks would be extremely costly. This paper presents a mixed-reality proof-of-concept for evaluating the communication of real vehicles using standard V2X messages while simulating the rest of the traffic. Detailed simulation of large-scale communication networks is also a computationally complex task. To be able to achieve the desired real-time simulation performance for mixed-reality testing, a so-called mesoscopic communication node was introduced, fusing the communication of the simulated vehicles into a single entity. This single entity realizes a sensor spoofing on other communicating vehicles. To verify the feasibility of the proposed approach, real-worlds tests were carried out involving two cars equipped with V2X devices and a third device transmitting standard messages from the simulation to the real vehicles in an "informed" denial-of-service-like way. Test results show that the mesoscopic simulation can retain real-time performance while replicating the communication of over 100 vehicles. Real vehicles can extract these virtual messages and packet drops remain in a plausible range.
  • Quantifying Cyber Risks: The Impact of DoS Attacks on Vehicle Safety in V2X Networks
    Zsombor Pethő, Tamás Márton Kazár, Zsolt Szalay, Árpád Török
    IEEE Transactions on Intelligent Transportation Systems, 2024
    This paper presents a novel framework for analyzing the interrelationships between vehicle dynamics, communication characteristics and cyberattacks on V2X-based functions, highlighting their impact on vehicle safety. The research implements a simulation-based approach and uses various regression models to describe the complex interactions between cyber-physical components, providing a nuanced understanding of the mathematical relationships. It provides a robust simulation framework for assessing DoS attack’s impact on the traffic safety risk. From a societal perspective, it addresses fundamental road safety issues in the face of increasing reliance on connected technologies. From a technical perspective, it presents an innovative ASIL-compatible risk classification methodology for DoS attacks, contributing to standardised cyber threat assessments in line with automotive security standards. The research serves as a methodological basis for investigating DoS attacks on vehicle safety and introduces a quantifiable risk assessment approach that can be used in adaptive security solutions. The risk classification system facilitates scenario assessment, improve intrusion detection and ensure the resilience of connected and intelligent transport systems.
  • Investigating Safety Effects of PKI Authentication, in Automotive Systems
    Zsombor Pethő, Tamás Márton Kazár, Roland Kraudy, Zsolt Szalay, Árpád Török
    Acta Polytechnica Hungarica, 2024
    Our study analyses the safety effects of Public Key Infrastructure (PKI), based authentication mated, related to certain wireless communication based automotive functions.The first part of the article focuses on quantifying the safety effect of quality of service (QoS) parameters in the case of wireless communication based automotive functions.Based on this concept, the paper discusses two scenarios: in the first case, there is no authentication process applied during the communication, and in the second case, the communication is secured by PKI authentication.This concept allows us to evaluate the safety effect of the security overhead caused by the additional computation demand related to the authentication process.Considering the results of our research, it becomes possible to define the requirements and expected conditions, regarding the operational circumstances.
  • Safety risk focused analysis of V2V communication especially considering cyberattack sensitive network performance and vehicle dynamics factors
    Zsombor Pethő, Zsolt Szalay, Árpád Török
    Vehicular Communications, 2022
    Future transportation is expected to be connected, cooperative, and highly automated. Classic automated vehicular functions are developed based on safety principles primarily, but the reliability and cybersecurity of wireless communication processes pose new challenges for the automotive industry for connected vehicles, representing Connected, Cooperative and Automated Mobility (CCAM) systems as cyber-physical systems. Since CCAM system safety is significantly affected by network performance metrics, we need to consider communication factors such as end-to-end latency and packet delivery ratio during the safety evaluation of highly automated vehicle functions. This study presents a methodological framework which links the safety of the CCAM systems with the cyber security sensitive network performance metrics, as well as the vehicle dynamics factors in order to evaluate the effect of intentional or unintentional communication failures. Accordingly, we introduced a new approach to characterize the safety risk of specific Vehicle-to-Vehicle (V2V) applications. Beyond this, severity of collision and message reception probability functions were introduced to further investigate the safety of the analyzed application. Finally, the values of the safety risk index for different warning intervals are summed, which suggest that the safety effect of specific function-related parameters could be and shall be represented during the function development process.
  • Considering PKI safety impact on network performance during V2X-based AD/ADAS function development processes
    Zsombor Pethö, Tamás Márton Kazár, Roland Kraudy, Zsolt Szalay, Árpád Török
    2022 IEEE 1st International Conference on Cognitive Mobility Cogmob 2022, 2022
    In this research, we examine the impact of PKI on vehicle safety and thus make suggestions for further improvements to V2X-based safety application design processes. In the first step, we introduce the novel methodological background of characterizing the safety impact of the network performance metrics on the V2X-based automotive applications. Following this, we investigated two cases: with and without Public Key Infrastructure (PKI) authorization, to identify the potential safety effect if the V2X device is unprepared for the additional computational overhead caused by the authentication framework-related processes. Based on our results, we can identify the operational domain of a specific V2X-based application that can be used safely.
  • Recommendations on electromagnetic compatibility testing of unmanned aerial vehicles
    Gergely Friedl, Mate Liszi, Zsombor Petho, Gyorgy Wersenyi, Miklos Kuczmann
    2022 IEEE 1st International Conference on Internet of Digital Reality Iod 2022, 2022
  • Analysis of Security Vulnerability Levels of In-Vehicle Network Topologies Applying Graph Representations
    Zsombor Petho, Intiyaz Khan, Árpád Torok
    Journal of Electronic Testing Theory and Applications JETTA, 2021
  • A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence based methods
    Zsombor Pethő, Árpád Török, Zsolt Szalay
    Transactions on Emerging Telecommunications Technologies, 2021
  • Towards cooperative perception services for its: Digital twin in the automotive edge cloud
    Viktor Tihanyi, András Rövid, Viktor Remeli, Zsolt Vincze, Mihály Csonthó, Zsombor Pethő, Mátyás Szalai, Balázs Varga, Aws Khalil, Zsolt Szalay
    Energies, 2021
  • Introducing safety and security co-engineering related research orientations in the field of automotive security
    Árpád Török, Zsombor Pethő
    Periodica Polytechnica Transportation Engineering, 2020

RECENT SCHOLAR PUBLICATIONS

  • Performance Evaluation of a Parallel Simulation Framework for V2X Testing
    A Marchetta, TM Kazár, A Coppola, Z Pethő, Z Szalay, Á Török
    2025 9th International Conference on Models and Technologies for Intelligent … , 2025
    2025
  • Network and Vehicle Digital Twins for Hardware in the Loop Simulation of C-ITS Applications
    A Marchetta, TM Kazár, M Cinque, A Coppola, Z Pethő, Z Szalay, Á Török
    2025 55th Annual IEEE/IFIP International Conference on Dependable Systems … , 2025
    2025
  • Investigating the Safety Effects of Degraded Wireless Performance on Connected Longitudinal Driver Assistance Functions.
    R Nagy, Z Petho, TM Kazár, T Turóczi, Á Török
    VEHITS, 278-285 , 2025
    2025
  • Effective Anomaly Intrusion Detection System Based on ML Methods in Vehicular Networks
    R Nagy, Z Pethő, Á Török
    IEEE International Conference on Cognitive Mobility, 334-343 , 2024
    2024
  • Quantifying cyber risks: The impact of dos attacks on vehicle safety in V2X networks
    Z Pethő, TM Kazár, Z Szalay, Á Török
    IEEE transactions on intelligent transportation systems 25 (11), 18591-18600 , 2024
    2024
    Citations: 14
  • Mixed-reality VANET testing supported by simulation of mesoscopic V2X communication
    T Ormándi, Z Pethő, B Varga
    2024 10th International Conference on Control, Decision and Information … , 2024
    2024
    Citations: 1
  • Evaluating v2x-based vehicle control under unreliable network conditions, focusing on safety risk
    R Nagy, Á Török, Z Pethő
    Applied Sciences 14 (13), 5661 , 2024
    2024
    Citations: 7
  • Investigating Safety Effects of PKI Authentication, in Automotive Systems
    Z Pethő, TM Kazár, R Kraudy, Z Szalay, Á Török
    2024
    Citations: 5
  • Applying DNN Model for V2X Communication Anomaly Detection
    AEK Oppong, GF Silas, Z Pethő, TM Kazár, Á Török
    IEEE International Conference on Cognitive Mobility, 197-205 , 2023
    2023
  • V2X measurement on M0 motorway with 4 vehicles
    Z Pethő, TM Kazár, D Vetési, T Ormándi, Á Török, T Tettamanti
    2023
  • The safety risk of inter-vehicular communication considering network performance and vehicle dynamics factors
    Z Pethő
    PQDT-Global , 2023
    2023
    Citations: 1
  • Considering PKI safety impact on network performance during V2X-based AD/ADAS function development processes
    Z Pethö, TM Kazár, R Kraudy, Z Szalay, Á Török
    2022 IEEE 1st International Conference on Cognitive Mobility (CogMob … , 2022
    2022
    Citations: 4
  • Safety risk focused analysis of V2V communication especially considering cyberattack sensitive network performance and vehicle dynamics factors
    Z Pethő, Z Szalay, Á Török
    Vehicular Communications 37, 100514 , 2022
    2022
    Citations: 28
  • Considering PKI Safety Impact on Network Performance During V2X-based AD/ADAS Function Development Processes
    Z Pethő, TM Kazár, R Kraudy, Z Szalay, Á Török
    2022
  • Simulation of Road Traffic Accidents Related to ADAS Systems in PreScan
    TM Kazár1a, Z Pethő, G Vida, Á Török
    2022
    Citations: 3
  • Analysis of security vulnerability levels of in-vehicle network topologies applying graph representations
    Z Petho, I Khan, A Torok
    Journal of Electronic Testing 37 (5), 613-621 , 2021
    2021
    Citations: 29
  • A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence based methods
    Z Pethő, Á Török, Z Szalay
    Transactions on Emerging Telecommunications Technologies 32 (10), e4325 , 2021
    2021
    Citations: 20
  • Towards cooperative perception services for its: Digital twin in the automotive edge cloud
    V Tihanyi, A Rövid, V Remeli, Z Vincze, M Csonthó, Z Pethő, M Szalai, ...
    Energies 14 (18), 5930 , 2021
    2021
    Citations: 61
  • Intelligens rendszerek hatása a közlekedésbiztonságra
    Z Petho, Á Török
    Közlekedésfejlesztés Magyarországon Konferencia , 2021
    2021
  • The effect of safety and security on cognitive processes related to future transport systems
    ÁT Zsombor Pethő, Felipe Mesquita, Mohammad Obaid
    12th IEEE International Conference on Cognitive Infocommunications … , 2021
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • Towards cooperative perception services for its: Digital twin in the automotive edge cloud
    V Tihanyi, A Rövid, V Remeli, Z Vincze, M Csonthó, Z Pethő, M Szalai, ...
    Energies 14 (18), 5930 , 2021
    2021
    Citations: 61
  • Analysis of security vulnerability levels of in-vehicle network topologies applying graph representations
    Z Petho, I Khan, A Torok
    Journal of Electronic Testing 37 (5), 613-621 , 2021
    2021
    Citations: 29
  • Safety risk focused analysis of V2V communication especially considering cyberattack sensitive network performance and vehicle dynamics factors
    Z Pethő, Z Szalay, Á Török
    Vehicular Communications 37, 100514 , 2022
    2022
    Citations: 28
  • A survey of new orientations in the field of vehicular cybersecurity, applying artificial intelligence based methods
    Z Pethő, Á Török, Z Szalay
    Transactions on Emerging Telecommunications Technologies 32 (10), e4325 , 2021
    2021
    Citations: 20
  • Quantifying cyber risks: The impact of dos attacks on vehicle safety in V2X networks
    Z Pethő, TM Kazár, Z Szalay, Á Török
    IEEE transactions on intelligent transportation systems 25 (11), 18591-18600 , 2024
    2024
    Citations: 14
  • Introducing safety and security co-engineering related research orientations in the field of automotive security
    Á Török, Z Pethő
    Periodica Polytechnica Transportation Engineering 48 (4), 349-356 , 2020
    2020
    Citations: 10
  • Evaluating v2x-based vehicle control under unreliable network conditions, focusing on safety risk
    R Nagy, Á Török, Z Pethő
    Applied Sciences 14 (13), 5661 , 2024
    2024
    Citations: 7
  • Investigating Safety Effects of PKI Authentication, in Automotive Systems
    Z Pethő, TM Kazár, R Kraudy, Z Szalay, Á Török
    2024
    Citations: 5
  • Considering PKI safety impact on network performance during V2X-based AD/ADAS function development processes
    Z Pethö, TM Kazár, R Kraudy, Z Szalay, Á Török
    2022 IEEE 1st International Conference on Cognitive Mobility (CogMob … , 2022
    2022
    Citations: 4
  • Simulation of Road Traffic Accidents Related to ADAS Systems in PreScan
    TM Kazár1a, Z Pethő, G Vida, Á Török
    2022
    Citations: 3
  • Mixed-reality VANET testing supported by simulation of mesoscopic V2X communication
    T Ormándi, Z Pethő, B Varga
    2024 10th International Conference on Control, Decision and Information … , 2024
    2024
    Citations: 1
  • The safety risk of inter-vehicular communication considering network performance and vehicle dynamics factors
    Z Pethő
    PQDT-Global , 2023
    2023
    Citations: 1
  • Performance Evaluation of a Parallel Simulation Framework for V2X Testing
    A Marchetta, TM Kazár, A Coppola, Z Pethő, Z Szalay, Á Török
    2025 9th International Conference on Models and Technologies for Intelligent … , 2025
    2025
  • Network and Vehicle Digital Twins for Hardware in the Loop Simulation of C-ITS Applications
    A Marchetta, TM Kazár, M Cinque, A Coppola, Z Pethő, Z Szalay, Á Török
    2025 55th Annual IEEE/IFIP International Conference on Dependable Systems … , 2025
    2025
  • Investigating the Safety Effects of Degraded Wireless Performance on Connected Longitudinal Driver Assistance Functions.
    R Nagy, Z Petho, TM Kazár, T Turóczi, Á Török
    VEHITS, 278-285 , 2025
    2025
  • Effective Anomaly Intrusion Detection System Based on ML Methods in Vehicular Networks
    R Nagy, Z Pethő, Á Török
    IEEE International Conference on Cognitive Mobility, 334-343 , 2024
    2024
  • Applying DNN Model for V2X Communication Anomaly Detection
    AEK Oppong, GF Silas, Z Pethő, TM Kazár, Á Török
    IEEE International Conference on Cognitive Mobility, 197-205 , 2023
    2023
  • V2X measurement on M0 motorway with 4 vehicles
    Z Pethő, TM Kazár, D Vetési, T Ormándi, Á Török, T Tettamanti
    2023
  • Considering PKI Safety Impact on Network Performance During V2X-based AD/ADAS Function Development Processes
    Z Pethő, TM Kazár, R Kraudy, Z Szalay, Á Török
    2022
  • Intelligens rendszerek hatása a közlekedésbiztonságra
    Z Petho, Á Török
    Közlekedésfejlesztés Magyarországon Konferencia , 2021
    2021