Security Enhancements of Robot Operating Systems

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dc.contributor.advisor Cortesi, Agostino it_IT
dc.contributor.author Caiazza, Gianluca <1991> it_IT
dc.date.accessioned 2017-02-23 it_IT
dc.date.accessioned 2017-05-08T03:52:34Z
dc.date.available 2017-05-08T03:52:34Z
dc.date.issued 2017-03-23 it_IT
dc.identifier.uri http://hdl.handle.net/10579/10238
dc.description.abstract In recent years we observed a grown of cybersecurity threats, especially thanks to the ubiquitous of connected and autonomous devices. A list of these devices, commonly defined as Internet of Things, includes industrial automation, autonomous vehicles, robot-assisted surgery, surveillance platforms, home service automation and many more robotics domains; considering the sensitive information that are processed by these devices, the possibility of attacks should be considered as a serious security matter. This thesis focuses on the Robot Operating System (ROS), a widely adopted standard robotic middle-ware. We will analyse its possible vulnerabilities and the resulting threats that could be posed by attackers. More in details, the present work will provide an in-depth analysis of ROS and SROS - a proposed addition to the ROS API ecosystem to support modern cryptography and security measures - in addition to the development of a static analyser upon SROS for the automatic creation of software-enforcement security profiles. In order to do so, we performed the following tasks: (1) standardize the security logging format; (2) standardize the profile syntax for the policy; (3) provide new tooling to introspect recorded security logs. Lastly, we discussed some enhancements for SROS following the standard proposed by oneM2M. it_IT
dc.language.iso it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Gianluca Caiazza, 2017 it_IT
dc.title Security Enhancements of Robot Operating Systems it_IT
dc.title.alternative it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Informatica - computer science it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Scienze Ambientali, Informatica e Statistica it_IT
dc.description.academicyear 2015/2016, sessione straordinaria it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 840009 it_IT
dc.subject.miur it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Gianluca Caiazza (840009@stud.unive.it), 2017-02-23 it_IT
dc.provenance.plagiarycheck Agostino Cortesi (cortesi@unive.it), 2017-03-06 it_IT


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