Penetration Testing ROS

Dieber, Bernhard; White, Ruffin; Taurer, Sebastian; Breiling, Benjamin; Caiazza, Gianluca; Christensen, Henrik I.; Cortesi, Agostino

doi:10.1007/978-3-030-20190-6_8

Cited by 33 publications

(22 citation statements)

References 14 publications

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“…Particular concerns have emerged with respect to both physical safety and cyber security. It is vital that these issues are thoroughly addressed via a secure-by-design approach (45)(46)(47)(48)(49). Likewise, concerns surfaced regarding the potential privacy compromises emanating from the presence of the robots and the corresponding sensitive data processing.…”

Section: Discussionmentioning

confidence: 99%

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

Christoforou

Avgousti

Ramdani

et al. 2020

Front. Digit. Health

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As an integral part of patient care, nursing is required to constantly adapt to changes in the healthcare system, as well as the wider financial and societal environment. Among the key factors driving these changes is the aging of population. Combined with an existing shortage of nursing and caregiving professionals, accommodating for the patients and elderly needs within hospitals, elderly-care facilities and at a home setting, becomes a societal challenge. Amongst the technological solutions that have evolved in response to these developments, nursing and assistive robotics claim a pivotal role. The objective of the present study is to provide an overview of today's landscape in nursing and assistive robotics, highlighting the benefits associated with adopting such solutions in standard clinical practice. At the same time, to identify existing challenges and limitations that essentially outline the area's future directions. Beyond technological innovation, the manuscript also investigates the end-users' angle, being a crucial parameter in the success of robotics solutions operating within a healthcare environment. In this direction, the results of a survey designed to capture the nursing professionals' perspective toward more informed robotics design and development are presented.

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Section: Discussionmentioning

confidence: 99%

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

Christoforou

Avgousti

Ramdani

et al. 2020

Front. Digit. Health

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“…The Robot Operating System (ROS) is a very popular set of software frameworks used in research and industrial applications [Dieber et al 2020]. Few studies have highlighted its security vulnerabilities.…”

Section: Hazards Due To Internal Vulnerabilitiesmentioning

confidence: 99%

On the Safety of Mobile Robots Serving in Public Spaces

Salvini

Paez-Granados

Billard

2021

J. Hum.-Robot Interact.

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Since 2014, a specific standard has been dedicated for the safety certification of personal care robots, which operate in close proximity to humans. These robots serve as information providers, object transporters, personal mobility carriers, and security patrollers. In this article, we point out the shortcomings concerning EN ISO 13482:2014, which encompasses guidelines regarding the safety and design of personal care robots. In particular, we argue that the current standard is not suitable for guaranteeing people's safety when these robots operate in public spaces. Specifically, the standard lacks requirements to protect pedestrians and bystanders. The guideline implicitly assumes that private spaces, such as households and offices, present the same hazards as in public spaces. We highlight the existence of at least three properties pertaining to robots’ use in public spaces. These properties include (1) crowds, (2) social norms and proxemics rules, and (3) people's misbehaviours. We discuss how these properties impact robots’ safety. This article aims to raise stakeholders’ awareness on individuals’ safety when robots are deployed in public spaces. This could be achieved by integrating the gaps present in EN ISO 13482:2014 or by creating a new dedicated standard.

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“…Manipulate communication graph (CWE-923): An attacker can modify the communication flow of the middleware by connecting previously unconnected nodes, isolating nodes or introducing new (malicious) nodes. As an example, attacks like those have been presented for the publish/subscribe middleware ROS (Robot Operating System) [ 65 , 66 ]. Manipulating the communication is a tampering attack, which can in the case of node isolation or disconnection also result in a Denial of Service.…”

Section: A Generalized Threat Model For Visual Sensor Networkmentioning

confidence: 99%

A Generalized Threat Model for Visual Sensor Networks

Simonjan

Taurer

Dieber

2020

Sensors

Self Cite

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Today, visual sensor networks (VSNs) are pervasively used in smart environments such as intelligent homes, industrial automation or surveillance. A major concern in the use of sensor networks in general is their reliability in the presence of security threats and cyberattacks. Compared to traditional networks, sensor networks typically face numerous additional vulnerabilities due to the dynamic and distributed network topology, the resource constrained nodes, the potentially large network scale and the lack of global network knowledge. These vulnerabilities allow attackers to launch more severe and complicated attacks. Since the state-of-the-art is lacking studies on vulnerabilities in VSNs, a thorough investigation of attacks that can be launched against VSNs is required. This paper presents a general threat model for the attack surfaces of visual sensor network applications and their components. The outlined threats are classified by the STRIDE taxonomy and their weaknesses are classified using CWE, a common taxonomy for security weaknesses.

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Penetration Testing ROS

Cited by 33 publications

References 14 publications

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

The Upcoming Role for Nursing and Assistive Robotics: Opportunities and Challenges Ahead

On the Safety of Mobile Robots Serving in Public Spaces

A Generalized Threat Model for Visual Sensor Networks

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