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Swapping trajectori...
Swapping trajectories with a sufficient sanitizer
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- Salas, Julián (författare)
- Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Barcelona, Spain / CYBERCAT-Center for Cybersecurity Research of Catalonia, Barcelona, Spain,Univ Oberta Catalunya, Internet Interdisciplinary Inst IN3, Barcelona, Spain.;CYBERCAT Ctr Cybersecur Res Catalonia, Barcelona, Spain.
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- Megías, David (författare)
- Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Barcelona, Spain / CYBERCAT-Center for Cybersecurity Research of Catalonia, Barcelona, Spain,Univ Oberta Catalunya, Internet Interdisciplinary Inst IN3, Barcelona, Spain.;CYBERCAT Ctr Cybersecur Res Catalonia, Barcelona, Spain.
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- Torra, Vicenç (författare)
- Högskolan i Skövde,Institutionen för informationsteknologi,Forskningsmiljön Informationsteknologi,Hamilton Institute, Maynooth University, Ireland,Skövde Artificial Intelligence Lab (SAIL),Maynooth Univ, Hamilton Inst, Maynooth, Kildare, Ireland.;Univ Skövde, Sch Informat, Skövde, Sweden.
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- Toger, Marina, Dr. (författare)
- Uppsala universitet,Kulturgeografiska institutionen,Department of Economic and Cultural Geography, Uppsala University, Sweden
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- Dahne, Joel (författare)
- Uppsala universitet,Tillämpad matematik och statistik,Department of Mathematics, Uppsala University, Sweden
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- Sainudiin, Raazesh (författare)
- Uppsala universitet,Tillämpad matematik och statistik,Uppsala Univ, Combient Competence Ctr Data Engn Sci, Uppsala, Sweden.,Department of Mathematics, Uppsala University, Sweden / Combient Competence Centre for Data Engineering Sciences, Uppsala University, Sweden
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Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Barcelona, Spain / CYBERCAT-Center for Cybersecurity Research of Catalonia, Barcelona, Spain Univ Oberta Catalunya, Internet Interdisciplinary Inst IN3, Barcelona, Spain;CYBERCAT Ctr Cybersecur Res Catalonia, Barcelona, Spain. (creator_code:org_t)
- Elsevier, 2020
- 2020
- Engelska.
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Ingår i: Pattern Recognition Letters. - : Elsevier. - 0167-8655 .- 1872-7344. ; 131, s. 474-480
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Abstract
Ämnesord
Stäng
- Real-time mobility data is useful for several applications such as planning transports in metropolitan areas or localizing services in towns. However, if such data is collected without any privacy protection it may reveal sensible locations and pose safety risks to an individual associated to it. Thus, mobility data must be anonymized preferably at the time of collection. In this paper, we consider the SwapMob algorithm that mitigates privacy risks by swapping partial trajectories. We formalize the concept of sufficient sanitizer and show that the SwapMob algorithm is a sufficient sanitizer for various statistical decision problems. That is, it preserves the aggregate information of the spatial database in the form of sufficient statistics and also provides privacy to the individuals. This may be used for personalized assistants taking advantage of users’ locations, so they can ensure user privacy while providing accurate response to the user requirements. We measure the privacy provided by SwapMob as the Adversary Information Gain, which measures the capability of an adversary to leverage his knowledge of exact data points to infer a larger segment of the sanitized trajectory. We test the utility of the data obtained after applying SwapMob sanitization in terms of Origin-Destination matrices, a fundamental tool in transportation modelling.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
Nyckelord
- Intelligent transportation systems
- Origin-Destination matrices
- Privacy preserving mobility data mining
- Real-time mobility data anonymization
- Sufficient sanitizer
- Trajectory anonymization
- Data mining
- Intelligent systems
- Knowledge management
- Matrix algebra
- Real time systems
- Trajectories
- Anonymization
- Mobility datum
- Origin destination matrices
- Data privacy
- Skövde Artificial Intelligence Lab (SAIL)
- Skövde Artificial Intelligence Lab (SAIL)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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