Cyber-security for Mobile Service Robots – Challenges for Cyber-physical System Safety

Dudek, Wojciech; Szynkiewicz, Wojciech

doi:10.26636/jtit.2019.131019

Cited by 16 publications

(7 citation statements)

References 31 publications

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“…In recent years, intensive research has been carried out on protecting cyber-physical systems, especially those built with service robots and wireless sensors [2,[13][14][15]. Due to the complex control and decision mechanisms, the need for real-time processing of measurement data and operational decision making in the design and development of secure CPSs is a non-trivial challenge.…”

Section: Cybersecurity Challenges and Strategiesmentioning

confidence: 99%

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Deep Learning of Sensor Data in Cybersecurity of Robotic Systems: Overview and Case Study Results

Szynkiewicz,

Niewiadomska-Szynkiewicz,

Lis

2023

Electronics

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Recent technological advances have enabled the development of sophisticated robotic and sensor systems monitored and controlled by algorithms based on computational intelligence. The deeply intertwined and cooperating devices connected to the Internet and local networks, usually through wireless communication, are increasingly used in systems deployed among people in public spaces. The challenge is to ensure that physical and digital components work together securely, especially as the impact of cyberattacks is significantly increasing. The paper addresses cybersecurity issues of mobile service robots with distributed control architectures. The focus is on automatically detecting anomalous behaviors possibly caused by cyberattacks on onboard and external sensors measuring the robot and environmental parameters. We provide an overview of the methods and techniques for protecting robotic systems. Particular attention is paid to our technique for anomaly detection in a service robot’s operation based on sensor readings and deep recurrent neural networks, assuming that attacks result in the robot behaving inconsistently. The paper presents the architecture of two artificial neural networks, their parameters, and attributes based on which the potential attacks are identified. The solution was validated on the PAL Robotics TIAGo robot operating in the laboratory and replicating a home environment. The results confirm that the proposed system can effectively support the detection of computer threats affecting the sensors’ measurements and, consequently, the functioning of a service robotic system.

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Section: Cybersecurity Challenges and Strategiesmentioning

confidence: 99%

“…The consequences of an attack can be much more significant than in typical computer systems. Therefore, robotic security adds a dimension of physical interaction with humans and other machines to the requirements of general cybersecurity [8,13,16].…”

Section: Cybersecurity Challenges and Strategiesmentioning

confidence: 99%

Deep Learning of Sensor Data in Cybersecurity of Robotic Systems: Overview and Case Study Results

Szynkiewicz,

Niewiadomska-Szynkiewicz,

Lis

2023

Electronics

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“…DDoS is the most typical [40]. The cloud robot will cease operations if a DDoS attack is launched against its server, which could cause a significant loss [41]. When building service robots [42], secure coding techniques ought to be applied to minimize the risk of vulnerabilities.…”

Section: B Robot Cybersecuritymentioning

confidence: 99%

Secure Cloud-Connected Robot Control using Private Blockchain

Fauzi,

Saad,

Haris

et al. 2023

IJACSA

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With the increasing demand for remote operations and the challenges posed during the COVID-19 pandemic, industries across various sectors, including logistics, manufacturing, and education, have adopted virtual solutions. Cloud-based robot control has emerged as a viable approach for enabling safe remote operation of robots. However, along with the benefits, there are also risks associated with cloud-based robots. In this study, a secure cloud-based robot control system using a blockchain system was developed. The robot utilizes supervisory control to navigate via the internet. The communication system of the robot relies on the ThingsSentral cloud-based IoT platform; enabling communication between the user via a GUI developed using Python Tkinter and the local robot over the internet. To facilitate internet communication, the robot in this study incorporates an ESP32 microcontroller, which provides a low-cost and low-power system capable of connecting to Wi-Fi. However, cloud-based control systems are susceptible to cyberattacks, prompting the use of blockchain cybersecurity in this study to mitigate the risks. The data sent by the supervisor is stored within a private blockchain developed using Python, simultaneously being transmitted to the cloud platform. The developed security system addresses the risks associated with cloud-based robot control systems, such as data tampering and unauthorized misuse, by leveraging the Proof of Work (PoW) and hashing mechanisms.

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“…This paper shows how embodied agents facilitate the design and implementation of a HCI to a cybersecurity data visualisation system. Cybersecurity refers to a set of techniques, tools, practices and controls designed to protect the integrity of computer networks, programs, data and complex cyber-physical systems [3] against cyber-attacks, damage or unauthorised access. The goal is to secure the network infrastructure used by state agencies, private corporations and individual users against cyber terrorism, cyber crime and cyber war.…”

Section: Cybersecurity Data Visualisationmentioning

confidence: 99%

Utilisation of Embodied Agents in the Design of Smart Human–Computer Interfaces—A Case Study in Cyberspace Event Visualisation Control

et al. 2020

Self Cite

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The goal of the research reported here was to investigate whether the design methodology utilising embodied agents can be applied to produce a multi-modal human–computer interface for cyberspace events visualisation control. This methodology requires that the designed system structure be defined in terms of cooperating agents having well-defined internal components exhibiting specified behaviours. System activities are defined in terms of finite state machines and behaviours parameterised by transition functions. In the investigated case the multi-modal interface is a component of the Operational Centre which is a part of the National Cybersecurity Platform. Embodied agents have been successfully used in the design of robotic systems. However robots operate in physical environments, while cyberspace events visualisation involves cyberspace, thus the applied design methodology required a different definition of the environment. It had to encompass the physical environment in which the operator acts and the computer screen where the results of those actions are presented. Smart human–computer interaction (HCI) is a time-aware, dynamic process in which two parties communicate via different modalities, e.g., voice, gesture, eye movement. The use of computer vision and machine intelligence techniques are essential when the human is carrying an exhausting and concentration demanding activity. The main role of this interface is to support security analysts and operators controlling visualisation of cyberspace events like incidents or cyber attacks especially when manipulating graphical information. Visualisation control modalities include visual gesture- and voice-based commands.

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Cyber-security for Mobile Service Robots – Challenges for Cyber-physical System Safety

Cited by 16 publications

References 31 publications

Deep Learning of Sensor Data in Cybersecurity of Robotic Systems: Overview and Case Study Results

Deep Learning of Sensor Data in Cybersecurity of Robotic Systems: Overview and Case Study Results

Secure Cloud-Connected Robot Control using Private Blockchain

Utilisation of Embodied Agents in the Design of Smart Human–Computer Interfaces—A Case Study in Cyberspace Event Visualisation Control

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