This Month in Adult Urology

Siemens, D. Robert

doi:10.1097/ju.0000000000003378

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…This may include industry-specific regulations, compliance requirements, or unique organisational policies and procedures. DeepArmor, an endpoint detection and protection solution by SparkCognition, has partnered with Siemens Energy to produce an AI-driven tool [39] specifically for isolated networks in Operational Technology (OT) domains that does not rely on signatures, heuristics or rules that require network connectivity. It utilises a predictive approach through an agent that is hosted and executed on-device.…”

Section: Customised Testing Environmentsmentioning

confidence: 99%

Generative AI for pentesting: the good, the bad, the ugly

Hilario,

Azam,

Sundaram

et al. 2024

Int. J. Inf. Secur.

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This paper examines the role of Generative AI (GenAI) and Large Language Models (LLMs) in penetration testing exploring the benefits, challenges, and risks associated with cyber security applications. Through the use of generative artificial intelligence, penetration testing becomes more creative, test environments are customised, and continuous learning and adaptation is achieved. We examined how GenAI (ChatGPT 3.5) helps penetration testers with options and suggestions during the five stages of penetration testing. The effectiveness of the GenAI tool was tested using a publicly available vulnerable machine from VulnHub. It was amazing how quickly they responded at each stage and provided better pentesting report. In this article, we discuss potential risks, unintended consequences, and uncontrolled AI development associated with pentesting.

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Section: Customised Testing Environmentsmentioning

confidence: 99%

Generative AI for pentesting: the good, the bad, the ugly

Hilario,

Azam,

Sundaram

et al. 2024

Int. J. Inf. Secur.

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“…In this context, the ROS Bridge Suite [21] was created to facilitate communication between ROS and non-ROS systems, aiming to tackle interoperability challenges. Solutions based on the ROS Bridge Suite, such as ROS-Sharp [22], have been widely used to build digital twins using the Unity game engine [8]. Recent examples using ROS-Sharp solutions include [23,24].…”

Section: Related Work and Contributionsmentioning

confidence: 99%

A Path to Industry 5.0 Digital Twins for Human–Robot Collaboration by Bridging NEP+ and ROS

Coronado,

Ueshiba,

Ramirez-Alpizar

2024

Robotics

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The integration of heterogeneous hardware and software components to construct human-centered systems for Industry 5.0, particularly human digital twins, presents considerable complexity. Our research addresses this challenge by pioneering a novel approach that harmonizes the techno-centered focus of the Robot Operating System (ROS) with the cross-platform advantages inherent in NEP+ (a human-centered development framework intended to assist users and developers with diverse backgrounds and resources in constructing interactive human–machine systems). We introduce the nep2ros ROS package, aiming to bridge these frameworks and foster a more interconnected and adaptable approach. This initiative can be used to facilitate diverse development scenarios beyond conventional robotics, underpinning a transformative shift in Industry 5.0 applications. Our assessment of NEP+ capabilities includes an evaluation of communication performance utilizing serialization formats like JavaScript Object Notation (JSON) and MessagePack. Additionally, we present a comparative analysis between the nep2ros package and existing solutions, illustrating its efficacy in linking the simulation environment (Unity) and ROS. Moreover, our research demonstrates NEP+’s applicability through an immersive human-in-the-loop collaborative assembly. These findings offer promising prospects for innovative integration possibilities across a broad spectrum of applications, transcending specific platforms or disciplines.

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This Month in Adult Urology

Cited by 2 publications

References 8 publications

Generative AI for pentesting: the good, the bad, the ugly

Generative AI for pentesting: the good, the bad, the ugly

A Path to Industry 5.0 Digital Twins for Human–Robot Collaboration by Bridging NEP+ and ROS

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