Empirical analysis of cyber-attacks to an indoor real time localization system for autonomous robots

Guerrero‐Higueras, Ángel Manuel; DeCastro-García, Noemí; Rodríguez-Lera, Francisco J.; Olivera, Vicente Matellán

doi:10.1016/j.cose.2017.06.013

Cited by 23 publications

(11 citation statements)

References 9 publications

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“…In case of the safety and security related combined integrity level framework in light of the classical automotive sector related architecture, the factor of controllability becomes more complex, since the controllability of a security incident is strongly affected by its detectability and treatability. [22]. Actually, in case of the combined field of safety and security, with the detection and the treatment of a given attack the whole control process can be performed.…”

Section: Discussionmentioning

confidence: 99%

Development of a Novel Automotive Cybersecurity, Integrity Level, Framework

Török¹,

Szalay²,

Sághi³

2020

ACTA POLYTECH HUNG

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As automated driver assistance functions are getting more and more popular, they will surly have a significant impact on our life especially considering security and the expected serious effects of malicious interventions. In light of the introduced aspects, the Test Field of Zalaegerszeg has started a research to evaluate the required professional and scientific framework to prevent transport systems from malicious external intervention. With regard to this aspect, the homologation system has been analyzed. In accordance with this the main objective of the article is to develop integrity level structure related to transport systems especially focusing on security issues. In this context the paper reconsiders the structure of ASIL to provide a proper framework focusing on the outstandingly important issues of cybersecurity. To develop a novel SIL framework a tailormade method is identified to define risk parameter values related to certain SIL categories. At the end of the research, the investigation has determined the acceptable hazard rates related to the S&SIL architecture.

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Section: Discussionmentioning

confidence: 99%

Development of a Novel Automotive Cybersecurity, Integrity Level, Framework

Török¹,

Szalay²,

Sághi³

2020

ACTA POLYTECH HUNG

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“…The red markers in the Figure 1a show the location in the apartment of the Anchors during the experiments. The distribution of the Anchors has been chosen following the method shown in [16]. Figure 1b shows the Tag of the KIO device on the Orbi-One robot, described below, and an Anchor anchored on the roof of the apartment.…”

Section: Kio Rtlsmentioning

confidence: 99%

People Detection and Tracking Using LIDAR Sensors

et al. 2019

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The tracking of people is an indispensable capacity in almost any robotic application. A relevant case is the @home robotic competitions, where the service robots have to demonstrate that they possess certain skills that allow them to interact with the environment and the people who occupy it; for example, receiving the people who knock at the door and attending them as appropriate. Many of these skills are based on the ability to detect and track a person. It is a challenging problem, particularly when implemented using low-definition sensors, such as Laser Imaging Detection and Ranging (LIDAR) sensors, in environments where there are several people interacting. This work describes a solution based on a single LIDAR sensor to maintain a continuous identification of a person in time and space. The system described is based on the People Tracker package, aka PeTra, which uses a convolutional neural network to identify person legs in complex environments. A new feature has been included within the system to correlate over time the people location estimates by using a Kalman filter. To validate the solution, a set of experiments have been carried out in a test environment certified by the European Robotic League.

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“…The algorithm relies on machine learning and rule tracking methods. Papers [30], [31] present algorithms which are also based on machine learning. This work, however, uses them to secure the Real-Time Locating System (RTLS).…”

Section: Mobile Robot Cyber-security Surveymentioning

confidence: 99%

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

Dudek

Szynkiewicz

2019

JTIT

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A review of the known and an indication of the new threats for cyber-physical robotic systems, caused by cybernetic attacks, serves, in this paper, as a basis for the analysis of the known methods relied upon to detect and mitigate consequences of such attacks. A particular emphasis is placed on threats speciﬁc for cyber-physical systems, as they are a feature distinguishing these systems from their traditional Information and Communication Technologies (ICT) counterparts. Based on the review of literature and own analyses, unresolved issues regarding the cyber-security of robot systems are presented and discussed.

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Empirical analysis of cyber-attacks to an indoor real time localization system for autonomous robots

Cited by 23 publications

References 9 publications

Development of a Novel Automotive Cybersecurity, Integrity Level, Framework

Development of a Novel Automotive Cybersecurity, Integrity Level, Framework

People Detection and Tracking Using LIDAR Sensors

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

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