PIMCITY: BUILDING THE NEXT GENERATION PERSONAL DATA PLATFORMS

Risultati finali

Final DMP and report on RRI and societal impact

This report will deliver the final version of the PIMCity data management plan following the FAIR Data Management guidelines and template published by H2020 programme T71 The report will also include the consolidated final report with all evidence gathered from the monitoring of the implementation of RRI as a crosscutting issue in PIMCity and the societal impact of PIMCity during the last 6 months of the project T73

Project Handbook and Quality plan

The handbook brings together a wide range of general operational information including contact details, operational and reporting processes, communication protocols, document templates, and procedures for conflict resolution. This report will contain the monitoring and evaluation framework for the project, including key performance indicators, technical quality control, risk logs and the procedures for risk monitoring and decision making (T8.1, T8.2).

Interim Report of first year

The report will detail the status of the plan of activities at the middle of the first year, including updated GANTT chart and status of the resources highlight possible critical tasks and indicate corrective measures.

Periodical update of the DMP and RRI and societal impact (mid-term report)

Mid term report on data management and the state of play regarding RRI findings and activities during the second year based on all evidence gathered from monitoring the implementation of RRI as a crosscutting issue in PIMCity T73

Legal and ethical implementation, oversight and evaluation

This deliverable aims to evaluate whether the ethical and legal requirements defined under T72 and T73 at the beginning of the project are successfully complied with by PIMCity

First year dissemination and exploitation report

Dissemination and exploitation report of the first year.

Outreach and engagement strategy

Comprehensive plan including dissemination, communication, and community building strategies (T6.1, T6.2, T6.3). The report will include a communication plan for the involvement of European citizens' community at a large scale.

PIMCity training kit

Collection of training materials and resources for the use and exploitation of PIMCity outputs T63

Design of the cloud controller, open APIs, PDA, TT and data Marketplace

This deliverable will provide the complete design of the cloud controller, the open APIs and the three integrated components, the PDA, the TT and the data Marketplace with a special attention to their relations with the core components (T5.1, T5.2, T5.3, T5.4, T5.5). A clear specification of which Partner will be responsible for hosting each component of PIMCity Platform will be detailed.

Design of tools for improved data management

This deliverable will provide the first complete design of the main components devoted to improving the data management

Report on Responsible Research and Innovation (RRI) and societal impact

Report on the state of play regarding RRI findings and activities during the first year of the project, including the final version of the ethical requirements for human participation in research. (T7.3) To comply with the education requirement under RRI, a Visual Law Lab Workshop will be organized in M9 of the project, based on the first version of the privacy policy and informed consent forms drafted under D7.1, to improve accessibility, readability, accuracy and consistency, leading to the final version of these documents. This Deliverable will also report on the societal impact of the PIMCity project.

Design of tools to improve user’s privacy

This deliverable will provide the first complete design of the main components devoted to improving the users’ privacy (T2.1, T2.2, T2.3, T2.4)

Design of data valuation tools and trading engine

This deliverable will provide the first complete design of the data valuation tools and the trading engine by taking into account the envisioned Marketplace (T3.1, T3.2, T3.3)

Legal requirements for the PIMCity platform and its components

It constitutes a mapping exercise of the legal requirements that are to form the foundation of the PIMCity platform, based on T7.2. It will be based on the GDPR and e-Privacy Directive/Regulation. Data protection and privacy elements that are likely to be challenging in light of the PIMCity project, will be identified. For example (i) Risks stemming from the large scale personal data processing for providing a privacy-preserving tool and trading personal data; (ii) The inevitable encounter with special categories of data; (iii) The presence of algorithms and automated- decision making; (iv) The transparency obligation in light of privacy policies and informed consent forms. This deliverable will be drafted simultaneously with D1.1 on the technical and user requirements specification. This way the project can build upon a comprehensive requirement definition from the outset, which should form the foundation for all further work carried out in light of the project.

PIMCity outreach and engagement strategy and final dissemination report

Final report accounting for all activities in WP6 impact evaluation and refined methodology for community building in innovation projects T61 T62 and T63

Design of the user-centric Marketplace

This deliverable will provide a design of the Marketplace to be used by the project (T3.1)

Second year dissemination and exploitation report

Dissemination and exploitation report of the second year

Interim Report of third year

The report will detail the status of the plan of activities at the beginning of the third year including updated GANTT chart and status of the resources highlight possible critical tasks and indicate corrective measures

Project public launch

Release of the visual identity set, website and project video (T6.1).

Interim Report of second year

The report will detail the status of the plan of activities at beginning of the second year, including updated GANTT chart and status of the resources highlight possible critical tasks and indicate corrective measures.

Release of tools to improve user's privacy

This deliverable will provide the release the final software associated with the user’s privacy along with a user guideline for the utilization of the different tools. (T2.1, T2.2, T2.3, T2.4)

Final design and preliminary version of the tools to improve user’s privacy

This deliverable will provide the final design of the main components devoted to improving the user’s privacy. Moreover, a preliminary version of the tools will be delivered (T2.1, T2.2, T2.3, T2.4)

Release of the data valuation tools and trading engine

This deliverable will provide the release the final software of the data valuation tools and the trading engine along with a user guideline for the utilization of the different tools (T3.2, T3.3)

Release of the cloud controller, open APIs, PDA, TT and data Marketplace

This deliverable will release the cloud controller, the open APIs and the three integrated components, the PDA, the TT and the data Marketplace along with a user guideline for the utilization of the different integrated components. (T5.1, T5.2, T5.3, T5.4, T5.5)

Demonstrators and evaluation report

This deliverable will release the final version of the integrated EasyPIMS platform and demonstrators. It will summarize the performance of the demonstration campaigns for both pilots and the feedback obtained from users and companies in pre-production tests. Finally, this deliverable will provide a final report of the continuous testing of components (T1.2, T1.3, T1.4)

Release of tools for improved data management

This deliverable will provide the release the final software associated with the data management along with a user guideline for the utilization of the different tools (T4.1, T4.2, T4.3, T4.4)

Final design and preliminary version of the data valuation tools and trading engine

This deliverable will provide the final design of the data valuation tools and the trading engine. Moreover, a preliminary version of the software will be delivered (T3.2, T3.3)

Final design and preliminary version of the tools for improved data management

This deliverable will provide the final design of the main components devoted to improving the data management. Moreover, a preliminary version of the tools will be delivered (T4.1, T4.2, T4.3, T4.4)

Data management plan

The initial report on the PIMCity data management plan, following the FAIR Data Management guidelines and template published by the H2020 programme. It describes the data management life cycle for the data to be collected, processed and generated. A crucial part of D7.1 is the carrying out of data protection impact assessment – in line with article 35 GDPR. A first version of the necessary documents will also be drawn up (privacy policy, informed consent forms for the beta-testers...) and added as annexes to the deliverable.

Open Research Data Pilot Report

This document will give a report about Data Pilot Research It will be given at the end of the project

Pubblicazioni

Insights from Operating an IP Exchage Provider

Autori: Lutu, Andra; Perino, Diego; Bagnulo, Marcelo; Bustamante, Fabián E.
Pubblicato in: Numero 1, 2021, ISBN 978-1-4503-8383-7
Editore: Association for Computing Machinery
DOI: 10.5281/zenodo.5722464

Under the Spotlight: Web Tracking in Indian Partisan News Websites

Autori: Vibhor Agarwal; Yash Vekaria; Pushkal Agarwal; Sangeeta Mahapatra; Shounak Set; Sakthi Balan Muthiah; Nishanth Sastry; Nicolas Kourtellis
Pubblicato in: Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM2021), 2021
Editore: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.48550/arxiv.2102.03656

Not one but many Tradeoffs - Privacy Vs. Utility in Differentially Private Machine Learning

Autori: Benjamin Zi Hao Zhao, Mohamed Ali Kaafar, Nicolas Kourtellis
Pubblicato in: Proceedings of the 2020 ACM SIGSAC Conference on Cloud Computing Security Workshop, 2020, Pagina/e 15-26, ISBN 9781450380843
Editore: ACM
DOI: 10.1145/3411495.3421352

Measuring the (Over)use of Service Workers for In-Page Push Advertising Purposes

Autori: George Pantelakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos
Pubblicato in: International Conference on Passive and Active Network Measurement (PAM), 2022, Pagina/e 426–438
Editore: Springer
DOI: 10.1007/978-3-030-98785-5_19

User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users

Autori: Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos
Pubblicato in: Proceedings of the Web Conference 2021, 2021, Pagina/e 2130-2141, ISBN 9781450383127
Editore: ACM
DOI: 10.1145/3442381.3450056

YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy

Autori: Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis
Pubblicato in: Proceedings of the ACM on Measurement and Analysis of Computing Systems (SigMetrics), 2022, Pagina/e 1-26
Editore: ACM
DOI: 10.1145/3491044

Under the Spotlight: Web Tracking in Indian Partisan News Websites

Autori: Agarwal, Vibhor; Vekaria, Yash; Agarwal, Pushkal; Mahapatra, Sangeeta; Set, Shounak; Muthiah, Sakthi Balan; Sastry, Nishanth; Kourtellis, Nicolas
Pubblicato in: Proceedings of the International AAAI Conference on Web and Social Media, Numero 7, 2021
Editore: AAAI Press

Stop tracking me Bro! Differential Tracking of User Demographics on Hyper-Partisan Websites

Autori: Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, Nicolas Kourtellis
Pubblicato in: Proceedings of The Web Conference 2020, 2020, Pagina/e 1479-1490, ISBN 9781450370233
Editore: ACM
DOI: 10.1145/3366423.3380221

z-anonymity: Zero-Delay Anonymization for Data Streams

Autori: Nikhil Jha, Thomas Favale, Luca Vassio, Martino Trevisan, Marco Mellia
Pubblicato in: 2020 IEEE International Conference on Big Data (Big Data), 2020, Pagina/e 3996-4005, ISBN 978-1-7281-6251-5
Editore: IEEE
DOI: 10.1109/bigdata50022.2020.9378422

Computing the Value of Spatio-Temporal Data in Wholesale and Retail Data Marketplaces

Autori: Santiago Andrés Azcoitia, Marius Paraschiv, Nikolaos Laoutaris
Pubblicato in: ACM SIGSPATIAL 22 (to appear), 2022, ISBN 978-1-4503-5490-5
Editore: ACM

Securing Federated Sensitive Topic Classification againstPoisoning Attacks

Autori: Tianyue Chu, Alvaro Garcia-Recuero, Costas Iordanou, Georgios Smaragdakis, Nikolaos Laoutaris
Pubblicato in: Network and Distributed Systems Security (NDSS) Symposium, 2023
Editore: Internet Society

Clash of the Trackers: Measuring the Evolution of the Online Tracking Ecosystem

Autori: Konstantinos Solomos; Panagiotis Ilia; Sotiris Ioannidis; Nicolas Kourtellis
Pubblicato in: TMA CONFERENCE 2020, 2020, ISBN 978-3-903176-27-0
Editore: IFIP

FLaaS: Enabling Practical Federated Learning on Mobile Environments

Autori: Kleomenis Katevas, Diego Perino, Nicolas Kourtellis
Pubblicato in: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, 2022
Editore: ACM
DOI: 10.1145/3498361.3539693

PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments

Autori: Mo, F; Haddadi, H; Katevas, K; Marin, E; Perino, D; Kourtellis, N
Pubblicato in: MobiSys '21: Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services, Numero 5, 2021, Pagina/e 94–108
Editore: Association for Computing Machinery
DOI: 10.1145/3458864.3466628

FLaaS - practical federated learning as a service for mobile applications

Autori: Kourtellis, N., Katevas, K., and Perino, D.
Pubblicato in: HotMobile '22: Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications, Numero March 2022, 2022, Pagina/e 130
Editore: ACM
DOI: 10.1145/3508396.3517074

Differential Tracking Across Topical Webpages of Indian News Media

Autori: Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal, Sangeeta Mahapatra, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis
Pubblicato in: 13th ACM Web Science Conference 2021, 2021, Pagina/e 299-308, ISBN 9781450383301
Editore: ACM
DOI: 10.1145/3447535.3462497

α-MON: Anonymized Passive Traffic Monitoring

Autori: Thomas Favale, Martino Trevisan, Idilio Drago, Marco Mellia
Pubblicato in: 2020 32nd International Teletraffic Congress (ITC 32), 2020, Pagina/e 10-18, ISBN 978-3-948377-02-1
Editore: IEEE
DOI: 10.1109/itc3249928.2020.00010

FLaaS: Federated Learning as a Service

Autori: Kourtellis, Nicolas; Katevas, Kleomenis; Perino, Diego
Pubblicato in: Proceedings of the 1st Workshop on Distributed Machine Learning, Numero December 1st, 2020, Pagina/e 7-13, ISBN 9781450381826
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3426745.3431337

User profiling by network observers

Autori: Roberto Gonzalez; Claudio Soriente; Juan Miguel Carrascosa; Alberto Garcia-Duran; Costas Iordanou; Mathias Niepert
Pubblicato in: Proceedings of the 17th International Conference on Emerging Networking EXperiments and Technologies, Numero 2, 2021, Pagina/e 212–222
Editore: Association for Computing Machinery
DOI: 10.1145/3485983.3494859

Leveraging Google’s Publisher-Specific IDs to Detect Website Administration

Autori: Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis
Pubblicato in: Proceedings of the ACM Web Conference 2022 (WWW), 2022
Editore: ACM
DOI: 10.1145/3485447.3512124

Identifying Sensitive URLs at Web-Scale

Autori: Srdjan Matic; Costas Iordanou; Georgios Smaragdakis; Nikolaos Laoutaris
Pubblicato in: Internet Measurement Conference, Numero 1, 2020, ISBN 978-1-4503-8138-3
Editore: Association for Computing Machinery
DOI: 10.1145/3419394.3423653

Unique on Facebook: formulation and evidence of (nano)targeting individual users with non-PII data

Autori: José González-Cabañas, Ángel Cuevas, Rubén Cuevas, Juan López-Fernández, David García
Pubblicato in: ACM Internet Measurement Conference, Numero Annual, 2021, ISBN 978-1-4503-9129-0
Editore: ACM
DOI: 10.1145/3487552.3487861

Why Online Services Should Pay You for Your Data? The Arguments for a Human-Centric Data Economy

Autori: Nikolaos Laoutaris
Pubblicato in: IEEE Internet Computing, Numero 23/5, 2019, Pagina/e 29-35, ISSN 1089-7801
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mic.2019.2953764

A PIMS Development Kit for New Personal Data Platforms

Autori: N. Jha, M. Trevisan, L. Vassio, M. Mellia, S. Traverso, A. Garcia-Recuero, N. Laoutaris, A. Mehrjoo, S. A. Azcoitia, R. C. Rumin, K. Katevas, P. Papadopoulos, N. Kourtellis, R. Gonzalez, X. Olivares, G. -M. Kalatzantonakis-Jullien
Pubblicato in: IEEE Internet Computing, Numero vol. 26, no. 3, 2022, Pagina/e pp. 79-84, ISSN 1089-7801
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mic.2022.3157356

Methodologies to derive subjective risk for web tracking

Autori: Vito Gambina, Marco Mellia, Martino Trevisan, Luca Vassio
Pubblicato in: Master Thesis, 2022
Editore: Politecnico di Torino

Machine Learning for automatic assessment of the risk related to web tracking.

Autori: Marzia Maffei, Marco Mellia, Martino Trevisan, Luca Vassio
Pubblicato in: 2020
Editore: Politecnico di Torino

Design and Implementation of a privacy-preserving framework for Machine Learning

Autori: Giovanni Camarda, Marco Mellia, Martino Trevisan, Nikhil Jha
Pubblicato in: Master Thesis, 2021
Editore: Politecnico di Torino

Personal Data Safe: a flexible storage system for personal data.

Autori: Federico Torta, Marco Mellia, Martino Trevisan
Pubblicato in: 2020
Editore: Politecnico di Torino

Does domain name encryption increase users' privacy?

Autori: Martino Trevisan, Francesca Soro, Marco Mellia, Idilio Drago, Ricardo Morla
Pubblicato in: ACM SIGCOMM Computer Communication Review, Numero 50/3, 2020, Pagina/e 16-22, ISSN 0146-4833
Editore: ACM SIGCOMM Computer Communication Review
DOI: 10.1145/3411740.3411743

Digital Contact Tracing: Large-Scale Geolocation Data as an Alternative to Bluetooth-Based Apps Failure

Autori: José González-Cabañas, Ángel Cuevas, Rubén Cuevas, Martin Maier
Pubblicato in: Electronics, Numero 10/9, 2021, Pagina/e 1093, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics10091093

Does Facebook use sensitive data for advertising purposes?

Autori: José González Cabañas, Ángel Cuevas, Aritz Arrate, Rubén Cuevas
Pubblicato in: Communications of the ACM, Numero 64/1, 2021, Pagina/e 62-69, ISSN 0001-0782
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3426361

A deep dive into the accuracy of IP Geolocation Databases and its impact on online advertising

Autori: Patricia Callejo; Marco Gramaglia; Ruben Cuevas; Angel Cuevas
Pubblicato in: IEEE Transactions on Mobile Computing, 2022, ISSN 1536-1233
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.48550/arxiv.2109.13665

How resilient is the Open Web to the COVID-19 pandemic?

Autori: José González-Cabañas; Patricia Callejo; Pelayo Vallina; Ángel Cuevas; Rubén Cuevas; Antonio Fernández Anta
Pubblicato in: Telematics and Informatics - Crossref, Numero 4, 2021, ISSN 0736-5853
Editore: Elsevier BV
DOI: 10.1016/j.tele.2021.101692

Digital Marketing Attribution: Understanding the User Path

Autori: Jesús Romero Leguina, Ángel Cuevas Rumín, Rubén Cuevas Rumín
Pubblicato in: Electronics, Numero 9/11, 2020, Pagina/e 1822, ISSN 2079-9292
Editore: MPDI
DOI: 10.3390/electronics9111822

Towards website domain name classification using graph based semi-supervised learning

Autori: Azadeh Faroughi, Andrea Morichetta, Luca Vassio, Flavio Figueiredo, Marco Mellia, Reza Javidan
Pubblicato in: Computer Networks, Numero 188, 2021, Pagina/e 107865, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/j.comnet.2021.107865

A new methodology to measure faultlines at scale leveraging digital traces

Autori: Amir Mehrjoo; Rubén Cuevas; Ángel Cuevas
Pubblicato in: EPJ Data Science, 2022, ISSN 2193-1127
Editore: Springer
DOI: 10.1140/epjds/s13688-022-00350-w

A Survey of Data Marketplaces and Their Business Models

Autori: Santiago Andrés Azcoitia, Nikolaos Laoutaris
Pubblicato in: ACM SIGMOD Record (to appear), 2022, ISSN 0163-5808
Editore: Association for Computing Machinary, Inc.

Tracking Fraudulent and Low-Quality Display Impressions

Autori: Patricia Callejo, Ángel Cuevas, Rubén Cuevas, Mercedes Esteban-Bravo, Jose M. Vidal-Sanz
Pubblicato in: Journal of Advertising, Numero 49/3, 2020, Pagina/e 309-319, ISSN 0091-3367
Editore: M.E. Sharpe Inc.
DOI: 10.1080/00913367.2020.1749914

α-MON: Traffic Anonymizer for Passive Monitoring

Autori: Thomas Favale, Martino Trevisan, Idilio Drago, Marco Mellia
Pubblicato in: IEEE Transactions on Network and Service Management, 2021, Pagina/e 1-1, ISSN 1932-4537
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tnsm.2021.3057927

Optimizing the Frequency Capping: A Robust and Reliable Methodology to Define the Number of Ads to Maximize ROAS

Autori: Jesús Romero, Ángel Cuevas, Rubén Cuevas
Pubblicato in: Applied Sciences, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11156688

Establishing Trust in Online Advertising With Signed Transactions

Autori: Antonio Pastor, Ruben Cuevas, Angel Cuevas, Arturo Azcorra
Pubblicato in: IEEE Access, Numero 9, 2021, Pagina/e 2401-2414, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3047343

Expanding the Measurement of Culture with a Sample of Two Billion Humans

Autori: Desmet, Klaus; Awad, Edmond; Cuevas, Ángel; Rahwan, Iyad; Obradovich, Nick; Martín, Ignacio; Özak, Ömer; Cuevas, Rubén; Ortuño-Ortín, Ignacio; Cebrián, Manuel
Pubblicato in: Journal of the Royal Society Interface, 2022, ISSN 1742-5662
Editore: The Royal Society
DOI: 10.1098/rsif.2022.0085

Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning

Autori: Valentino Rizzo, Stefano Traverso, Marco Mellia
Pubblicato in: Proceedings on Privacy Enhancing Technologies, Numero 2021/1, 2021, Pagina/e 43-63, ISSN 2299-0984
Editore: Sciendo
DOI: 10.2478/popets-2021-0004

The Internet with Privacy Policies: Measuring The Web Upon Consent

Autori: Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia
Pubblicato in: ACM Transactions on the Web, 2022, ISSN 1559-1131
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3555352

User Interaction with Online Advertisements

Autori: Luca Vassio, Michele Garetto, Carla Chiasserini, Emilio Leonardi
Pubblicato in: ACM Transactions on Modeling and Performance Evaluation of Computing Systems, Numero 5/2, 2020, Pagina/e 1-26, ISSN 2376-3639
Editore: Association for Computing Machinery
DOI: 10.1145/3377144

Malvertising in Facebook: Analysis, Quantification and Solution

Autori: Aritz Arrate, José González-Cabañas, Ángel Cuevas, Rubén Cuevas
Pubblicato in: Electronics, Numero 9/8, 2020, Pagina/e 1332, ISSN 2079-9292
Editore: MDPI
DOI: 10.3390/electronics9081332

The Internet with Privacy Policies: Measuring The WebUpon Consent

Autori: Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia,
Pubblicato in: 2021
Editore: Arxiv

The Rise and Fall of Fake News sites: A Traffic Analysis

Autori: Chalkiadakis, Manolis; Kornilakis, Alexandros; Papadopoulos, Panagiotis; Markatos, Evangelos P.; Kourtellis, Nicolas
Pubblicato in: Numero 1, 2021
Editore: Cornell University

The Gender Gap in Preferences: Evidence from 45,397 Facebook Interests

Autori: Ángel Cuevas, Rubén Cuevas, Klaus Desmet, Ignacio Ortuño-Ortín
Pubblicato in: National Bureau of Economics Research Working Papers, 2022
Editore: National Bureau of Economics Research
DOI: 10.3386/w29451

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