Privacy threat analysis and evaluation of Privacy Enhancing Technologies for the integration of 3D Scene Graphs in smart buildings
(2023) EITM02 20231Department of Electrical and Information Technology
- Abstract
- The recent advent of 3DSG in the computer vision domain has brought powerful high-level representations of 3D environments. These representations strive to mimic human perception and facilitate the extraction of meaningful insight from visual data. This research has led to framework like Hydra, which creates a real-time, persistent spatial perception system that creates a complete 3D map of their surroundings. Furthermore, smart cities are at the forefront of integrating information technology into urban life, with smart building playing an essential role. Smart buildings are equipped with IoT devices that promote their interaction to achieve a more intelligent environment. The integration of spatial perception systems like Hydra into the... (More)
- The recent advent of 3DSG in the computer vision domain has brought powerful high-level representations of 3D environments. These representations strive to mimic human perception and facilitate the extraction of meaningful insight from visual data. This research has led to framework like Hydra, which creates a real-time, persistent spatial perception system that creates a complete 3D map of their surroundings. Furthermore, smart cities are at the forefront of integrating information technology into urban life, with smart building playing an essential role. Smart buildings are equipped with IoT devices that promote their interaction to achieve a more intelligent environment. The integration of spatial perception systems like Hydra into the smart building domain can improve decision-making, autonomy, and responsiveness. However, this integration introduces a new dimension of privacy concerns among users. This arises due to Hydra’s capacity to capture sensitive information, raising valid concerns regarding the potential misuse by third parties or attackers. This necessitates a comprehensive approach that helps practitioners to systematically identify and assess potential threats and vulnerabilities to a system, application, or network. This thesis places a primary focus on addressing privacy concerns within the integration of Hydra into the smart building domain. To achieve this, this study applies the LINDDUN privacy threat methodology, which is designed to focus on privacy concerns, guiding practitioners in identifying and mitigating privacy threats. Thus, the main the goal of this thesis is to thoroughly examine and address these threats, all with the ultimate goal of protecting personal information. (Less)
- Popular Abstract
- Anticipating Privacy in the development of 3D Scene Graphs
Personal information protection is of utmost importance as we explore the innovative world of 3D Scene Graphs (3DSG).
This new technology creates realistic representations of environments, reflecting how humans understand things. In this master thesis, I highlight how import it is to think about keeping personal information safe as developers create new technologies. Imagine a world where technology can transport you to incredibly realistic architectural representations, capturing every tiny detail with exceptional precision. In the world of digital innovations, there is a new technology known as 3DSG, which not only creates powerful representations of 3D environments but... (More) - Anticipating Privacy in the development of 3D Scene Graphs
Personal information protection is of utmost importance as we explore the innovative world of 3D Scene Graphs (3DSG).
This new technology creates realistic representations of environments, reflecting how humans understand things. In this master thesis, I highlight how import it is to think about keeping personal information safe as developers create new technologies. Imagine a world where technology can transport you to incredibly realistic architectural representations, capturing every tiny detail with exceptional precision. In the world of digital innovations, there is a new technology known as 3DSG, which not only creates powerful representations of 3D environments but also tries to make sense of these spaces. These future designs try to imitate how humans understand situations and are anticipated to redefine how we interact with the world and extract meaning from it. However, there’s a critical aspect that needs out immediate attention: privacy. We need to address these growing worries about keeping personal information safe.
For my study, I looked into a new framework known as Hydra, which makes real-time 3D representation of its surroundings and helps in the extraction of useful information when creating visuals. The problem with this technology is that it involves collecting, processing, and storing data in new ways we’re not used to, which might make people feel uncomfortable. To address this, I did a thorough study on Hydra using a method called LINDDUN, which investigates seven privacy threat categories: Linkability, Identifiability, Non-repudiation, Detectability, Data disclosure, Unawareness and Non-compliance. My main goals were to identify potential privacy threats and suggest some solutions for them. The findings and suggestions can guide in making privacy measures for 3DSG, ensuring we keep privacy in mind as technology keeps on advancing. In summary, my work brings attention to the importance of protecting personal information as 3DSG become a reality and the need for appropriate solutions. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9140176
- author
- Mugica Trapaga, Alejandra LU
- supervisor
- organization
- course
- EITM02 20231
- year
- 2023
- type
- H2 - Master's Degree (Two Years)
- subject
- keywords
- 3DSG, DFD, Hydra, IoT, LINDDUN, PETs, Privacy, Threat modeling.
- report number
- LU/LTH-EIT 2023-954
- language
- English
- id
- 9140176
- date added to LUP
- 2023-11-15 11:47:59
- date last changed
- 2023-11-15 11:47:59
@misc{9140176,
abstract = {{The recent advent of 3DSG in the computer vision domain has brought powerful high-level representations of 3D environments. These representations strive to mimic human perception and facilitate the extraction of meaningful insight from visual data. This research has led to framework like Hydra, which creates a real-time, persistent spatial perception system that creates a complete 3D map of their surroundings. Furthermore, smart cities are at the forefront of integrating information technology into urban life, with smart building playing an essential role. Smart buildings are equipped with IoT devices that promote their interaction to achieve a more intelligent environment. The integration of spatial perception systems like Hydra into the smart building domain can improve decision-making, autonomy, and responsiveness. However, this integration introduces a new dimension of privacy concerns among users. This arises due to Hydra’s capacity to capture sensitive information, raising valid concerns regarding the potential misuse by third parties or attackers. This necessitates a comprehensive approach that helps practitioners to systematically identify and assess potential threats and vulnerabilities to a system, application, or network. This thesis places a primary focus on addressing privacy concerns within the integration of Hydra into the smart building domain. To achieve this, this study applies the LINDDUN privacy threat methodology, which is designed to focus on privacy concerns, guiding practitioners in identifying and mitigating privacy threats. Thus, the main the goal of this thesis is to thoroughly examine and address these threats, all with the ultimate goal of protecting personal information.}},
author = {{Mugica Trapaga, Alejandra}},
language = {{eng}},
note = {{Student Paper}},
title = {{Privacy threat analysis and evaluation of Privacy Enhancing Technologies for the integration of 3D Scene Graphs in smart buildings}},
year = {{2023}},
}