RAIS: Real-time Analytics for the Internet of Sports

Risultati finali

"Workshop III ""Data Analytics and Machine Learning"""

The third Workshop on Data Analytics and Machine Learning

Conference organised by AUTH with a tentative title IoT Analytics

A Hackaton event aiming at encouraging handson experience with rapid prototyping of innovative software and services for the projects ESRs

"Summer School II "" Edge computing and Blockchain"""

The second Summer School on Edge computing and Blockchain

Workshop I “ Open Data Science”

"Workshop for the members of the project as well as public, organised by AUTH with a tentative title ""Open Data Science""."

"Summer School I ""IoT Analytics: Research and Innovation"""

The first Summer School of the project on organised by UCY with a tentative title IoT Analytics Research and Innovation

"Workshop II ""Security, Privacy and Trust for Wearable Devices"""

The second Workshop of the project organised by UNINS with a tentative title Security Privacy and Trust for Wearable Devices

Summer School III organized with EIT Digital

The third Summer School organised by KTH in collaboration with EIT Digital

Entrepreneurship 101

Entrepreneurship 101 event for ESRs with the aim to nurture the entrepreneurial culture among the ESRs and challenge them to transform their ideas into real business opportunities and to leading companies of tomorrow

Web site and advertising vacancies

The project website to disseminate calls and vacancies as well as publish updates on the projects progress and corresponding activities and research

Pubblicazioni

Practical Crowdsourcing of Wearable IoT Data with Local Differential Privacy

Autori: Thomas Marchioro; Andrei Kazlouski; Evangelos Markatos
Pubblicato in: IoTDI '23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, Numero 1, 2023
Editore: ACM
DOI: 10.1145/3576842.3582367

What your Fitbit Says about You: De-anonymizing Users in Lifelogging Datasets

Autori: Andrei Kazlouski, Thomas Marchioro, Evangelos Markatos
Pubblicato in: 19th International Conference on Security and Cryptography, 2022
Editore: SciTePress
DOI: 10.5220/0011268600003283

UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions

Autori: A. Bampakis, S. Yfantidou and A. Vakali
Pubblicato in: 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2022
Editore: IEEE
DOI: 10.1109/healthcom54947.2022.9982730

Not Only Degree Matters: Diffusion-Driven Role Recognition

Autori: Pozzoli, Susanna; Girdzijauskas, Šarūnas
Pubblicato in: Open Challenges in Online Social Networks, OASIS 2022, Numero 1, 2022
Editore: ACM
DOI: 10.1145/3524010.3539497

Advanced Information Networking and Applications

Autori: Coglio Filippo, Lekssays Ahmed, Carminati Barbara, Ferrari Elena
Pubblicato in: International Conference on Advanced Information Networking and Applications, 2023, Pagina/e 417-429
Editore: Springer
DOI: 10.1007/978-3-031-28451-9_36

WeMoD: A Machine Learning Approach for Wearable and Mobile Physical Activity Prediction

Autori: Dimitrios Vasdekis; Sofia Yfantidou; Stefanos Efstathiou; Athena Vakali
Pubblicato in: Percom Workshop on Human-Centered Computational Sensing 2022, 2022, Pagina/e https://sites.google.com/view/hccs2022/
Editore: IEEE
DOI: 10.5281/zenodo.5839727

Minimal wearable setup via sensor correlation: a case study of field hockey players

Autori: Giorgos Ioannou; Andrei Kazlouski; Thomas Marchioro; Maarten Gijssel
Pubblicato in: Numero 1, 2023
Editore: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.8016755

PriApp-Install: Learning User Privacy Preferences on Mobile Apps' Installation

Autori: Ha Xuan Son; Barbara Carminati; Elena Ferrari
Pubblicato in: 17th International Conference, ISPEC 2022, 2022
Editore: springer
DOI: 10.1007/978-3-031-21280-2_17

I still See You! Inferring Fitness Data from Encrypted Traffic of Wearables

Autori: Andrei Kazlouski, Thomas Marchioro, Harry Manifavas, Evangelos Markatos
Pubblicato in: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021, Pagina/e 369-376, ISBN 978-989-758-490-9
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0010233103690376

12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock and Thinking Ahead

Autori: Yfantidou, Sofia; Sermpezis, Pavlos; Vakali, Athena
Pubblicato in: UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 2022
Editore: ACM
DOI: 10.1145/3511047.3538029

A Risk Assessment Mechanism for Android Apps

Autori: Ha Xuan Son, Barbara Carminati, Elena Ferrari
Pubblicato in: 5th IEEE International Conference on Smart Internet of Things (SmartIoT), 2021, Pagina/e 237-244
Editore: IEEE
DOI: 10.1109/smartiot52359.2021.00044

WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization

Autori: Dimitrios Panteleimon Giakatos; Sofia Yfantidou; Stefanos Efstathiou; Athena Vakali
Pubblicato in: 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Numero 2022, 2022
Editore: 76-78
DOI: 10.1109/percomworkshops53856.2022.9767462

BenchPilot: Repeatable & Reproducible Benchmarking for Edge Micro-DCs

Autori: Joanna Georgiou, Moysis Symeonides, Michalis Kasioulis, Demetris Trihinas, George Pallis, Marios D. Dikaiakos
Pubblicato in: "27th IEEE Symposium on Computers and Communications"" (ISCC '22)", 2022
Editore: IEEE

Adapting Users' Privacy Preferences in Smart Environments

Autori: Md. Zulfikar Alom, Barbara Carminati, Elena Ferrari
Pubblicato in: 2019 IEEE International Congress on Internet of Things (ICIOT), 2019, Pagina/e 165-172, ISBN 978-1-7281-2714-9
Editore: IEEE
DOI: 10.1109/iciot.2019.00036

UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations

Autori: Paraschou, Eva; Yfantidou, Sofia; Vakali, Athena
Pubblicato in: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops): Demos, Numero 2023, 2023
Editore: IEEE
DOI: 10.5281/zenodo.8005750

Mixing temporal experts for Human Activity Recognition

Autori: Roy, Debaditya; Girdzijauskas, Sarunas
Pubblicato in: 2022 Swedish Artificial Intelligence Society Workshop (SAIS), Numero 5, 2022
Editore: IEEE
DOI: 10.1109/SAIS55783.2022.9833028

PDS2: A user-centered decentralized marketplace for privacy preserving data processing

Autori: Giaretta, Lodovico; Savvidis, Ioannis; Marchioro, Thomas; Girdzijauskas, Sarunas; Pallis, George; Dikaiakos, Marios D.; Markatos, Evangelos
Pubblicato in: The Third International Workshop on Blockchain and Data Management (BlockDM 2021), 2021
Editore: BlockDM 2021
DOI: 10.5281/zenodo.4650251

Helping Users Managing Context-Based Privacy Preferences

Autori: Md. Zulfikar Alom, Barbara Carminati, Elena Ferrari
Pubblicato in: 2019 IEEE International Conference on Services Computing (SCC), 2019, Pagina/e 100-107, ISBN 978-1-7281-2720-0
Editore: IEEE
DOI: 10.1109/scc.2019.00027

Towards a decentralized infrastructure for data marketplaces: narrowing the gap between academia and industry

Autori: Giaretta, Lodovico; Marchioro, Thomas; Markatos, Evangelos; Girdzijauskas, Sarunas
Pubblicato in: DE '22: Proceedings of the 1st International Workshop on Data Economy, Numero 1, 2022
Editore: ACM
DOI: 10.1145/3565011.3569060

Decentralized Word2Vec Using Gossip Learning

Autori: Alkathiri, Abdul Aziz; Giaretta, Lodovico; Girdzijauskas, Sarunas; Sahlgren, Magnus
Pubblicato in: the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), 2021
Editore: NoDaLiDa 2021
DOI: 10.5281/zenodo.4679361

User Identification from Time Series of Fitness Data

Autori: Thomas Marchioro, Andrei Kazlouski, Evangelos Markatos
Pubblicato in: 2021
Editore: SECRYPT 2021
DOI: 10.5220/0010585008060811

Demo: The RAINBOW Analytics Stack for the Fog Continuum

Autori: Moysis Symeonides, Demetris Trihinas, Joanna Georgiou, Michalis Kasioulis, George Pallis, Marios D. Dikaiakos, Theodoros Toliopoulos, Anna-Valentini Michailidou, Anastasios Gounaris
Pubblicato in: "27th IEEE Symposium on Computers and Communications"" (ISCC '22)", 2022
Editore: IEEE

Gossip Learning: Off the Beaten Path

Autori: Lodovico Giaretta, Sarunas Girdzijauskas
Pubblicato in: 2019 IEEE International Conference on Big Data (Big Data), 2019, Pagina/e 1117-1124, ISBN 978-1-7281-0858-2
Editore: IEEE
DOI: 10.1109/BigData47090.2019.9006216

Confidential Discovery of IoT devices through Blockchain

Autori: Christian Rondanini, Barbara Carminati, Elena Ferrari
Pubblicato in: 2019 IEEE International Congress on Internet of Things (ICIOT), 2019
Editore: .
DOI: 10.1109/iciot.2019.00014

Do partner apps offer the same level of privacy protection? The case of wearable applications

Autori: Andrei Kazlouski, Thomas Marchioro, Harry Manifavas, Evangelos Markatos
Pubblicato in: 7th Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices, 2021
Editore: IEEE
DOI: 10.1109/percomworkshops51409.2021.9431018

LiMNet: Early-Stage Detection of IoT Botnets with Lightweight Memory Networks

Autori: Giaretta, Lodovico, Lekssays, Ahmed, Carminati, Barbara, Ferrari, Elena, Girdzijauskas, Sarunas
Pubblicato in: 26th European Symposium on Research in Computer Security (ESORICS), 2021, Pagina/e 605-625, ISBN 978-3-030-88417-8
Editore: Springer
DOI: 10.1007/978-3-030-88418-5_29

Graph2Feat: Inductive Link Prediction via Knowledge Distillation

Autori: Ahmed E. Samy; Zekarias T. Kefato; Šarūnas Girdzijauskas
Pubblicato in: WWW ’23 Companion, April 30–May 04, 2023, 2023
Editore: ACM
DOI: 10.1145/3543873.3587596

Privacy-preserving Decentralized Learning of Knowledge Graph Embeddings

Autori: Hoang, Anh-Tu; Lekssays, Ahmed; Carminati, Barbara; Ferrari, Elena
Pubblicato in: Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, Numero 9, 2023
Editore: CEUR-WS.org
DOI: 10.5281/zenodo.8054771

Federated Naive Bayes under Differential Privacy

Autori: Thomas Marchioro, Lodovico Giaretta, Evangelos Markatos, Šarūnas Girdzijauskas
Pubblicato in: 2022
Editore: SciTePress
DOI: 10.5220/0011275300003283

SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding

Autori: Ahmed E. Samy, Lodovico Giaretta, Zekarias T. Kefato, Šarūnas Girdzijauskas
Pubblicato in: WWW '22: Companion Proceedings of the Web Conference 2022, 2022
Editore: ACM
DOI: 10.1145/3487553.3524728

Out of distribution in Human Activity Recognition

Autori: Roy,Debaditya; Komini,Vangjush; Girdzijauskas, Sarunas
Pubblicato in: 2022 Swedish Artificial Intelligence Society Workshop (SAIS), 2022
Editore: IEEE
DOI: 10.5281/zenodo.7224708

MalRec: A Blockchain-based Malware Recovery Framework for Internet of Things | Proceedings of the 17th International Conference on Availability, Reliability and Security

Autori: Ahmed Lekssays, Giorgia Sirigu, Barbara Carminati, Elena Ferrari
Pubblicato in: 17th International Conference on Availability, Reliability and Security, 2022
Editore: ACM
DOI: 10.1145/3538969.3544446

Mammoth - Monitoring the ABAC Monitor of MQTT-based Internet of Things ecosystems

Autori: Pietro Colombo, Elena Ferrari, Samuele Salvia
Pubblicato in: Proceedings of the 25th ACM Symposium on Access Control Models and Technologies, 2020, Pagina/e 221-222, ISBN 9781450375689
Editore: ACM
DOI: 10.1145/3381991.3396226

I just wanted to track my steps! Blocking unwanted traffic of Fitbit devices

Autori: Andrei Kazlouski; Thomas Marchioro; Evangelos Markatos
Pubblicato in: Numero 1, 2022
Editore: IoT 2022: The 12th International Conference on the Internet of Things
DOI: 10.1145/3567445.3567457

Do You Know Who Is Talking to Your Wearable Smartband?

Autori: Andrei Kazlouski, Thomas Marchioro, Harry Manifavas, Evangelos Markatos
Pubblicato in: Integrated Citizen Centered Digital Health and Social Care - Citizens as Data Producers and Service co-Creators – Proceedings of the EFMI 2020 Special Topic Conference, 2020, ISBN 9781643681443
Editore: IOS Press
DOI: 10.3233/shti200711

MalCon: A blockchain-based malware containment framework for Internet of Things

Autori: Lekssays, Ahmed; Carminati, Barbara; Ferrari, Elena
Pubblicato in: Computer Networks, Numero 4, 2023, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/j.comnet.2023.109853

A Risk Estimation Mechanism for Android Apps based on Hybrid Analysis

Autori: Ha Xuan Son; Barbara Carminati; Elena Ferrari
Pubblicato in: Data Science and Engineering, Numero 1, 2022, ISSN 2364-1541
Editore: Data Science and Engineering
DOI: 10.1007/s41019-022-00189-1

Blockchain-based Privacy Enforcement in the IoT domain

Autori: Federico Daidone, Barbara Carminati, Elena Ferrari
Pubblicato in: IEEE Transactions on Dependable and Secure Computing, 2021, ISSN 1545-5971
Editore: IEEE Computer Society
DOI: 10.1109/tdsc.2021.3110181

LifeSnaps: a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild

Autori: Yfantidou, Sofia; Karagianni, Christina; Efstathiou, Stefanos; Vakali, Athena; Palotti, Joao; Giakatos, Dimitrios Panteleimon; Marchioro, Thomas; Kazlouski, Andrei; Ferrari, Elena; Girdzijauskas, Šarūnas
Pubblicato in: Scientific Data (Sci Data), 2022, ISSN 2052-4463
Editore: Scientific Data (Sci Data)
DOI: 10.1038/s41597-022-01764-x

Confidence-Calibrated Human Activity Recognition

Autori: Debaditya Roy, Sarunas Girdzijauskas, Serghei Socolovschi
Pubblicato in: Sensors, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21196566

How to Publish Wearables’ Data: Practical Guidelines to Protect User Privacy

Autori: Thomas Marchioro, Andrei Kazlouski, Evangelos Markatos
Pubblicato in: Studies in Health Technology and Informatics, 2022, ISSN 1879-8365
Editore: IOS
DOI: 10.3233/shti220635

Domain expertise–agnostic feature selection for the analysis of breast cancer data*

Autori: Susanna Pozzoli, Amira Soliman, Leila Bahri, Rui Mamede Branca, Sarunas Girdzijauskas, Marco Brambilla
Pubblicato in: Artificial Intelligence in Medicine, Numero 108, 2020, Pagina/e 101928, ISSN 0933-3657
Editore: Elsevier BV
DOI: 10.1016/j.artmed.2020.101928

PAutoBotCatcher: A blockchain-based privacy-preserving botnet detector for Internet of Things

Autori: Ahmed Lekssays, Luca Landa, Barbara Carminati, Elena Ferrari
Pubblicato in: Computer Networks, Numero December 2021, 2021, ISSN 1389-1286
Editore: Elsevier BV
DOI: 10.1016/j.comnet.2021.108512

Evaluating the effects of access control policies within NoSQL systems

Autori: Pietro Colombo, Elena Ferrari
Pubblicato in: Future Generation Computer Systems, Numero 114, 2021, Pagina/e 491-505, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2020.08.026

Regulating data sharing across MQTT environments

Autori: Pietro Colombo, Elena Ferrari, Engin Deniz Tümer
Pubblicato in: Journal of Network and Computer Applications, Numero 174, 2021, Pagina/e 102907, ISSN 1084-8045
Editore: Academic Press
DOI: 10.1016/j.jnca.2020.102907

Efficient ABAC based information sharing within MQTT environments under emergencies

Autori: Pietro Colombo, Elena Ferrari, Engin Deniz Tümer
Pubblicato in: Computers & Security, September 2022, 2022, ISSN 0167-4048
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2022.102829

14 Years of Self-Tracking Technology for mHealth -- Literature Review: Lessons Learnt and the PAST SELF Framework

Autori: Yfantidou, Sofia; Sermpezis, Pavlos; Vakali, Athena
Pubblicato in: ACM Transactions on Computing for Healthcare, 2023, ISSN 2637-8051
Editore: Association for Computing Machinery
DOI: 10.1145/3592621

Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing

Autori: Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar
Pubblicato in: 2023
Editore: Zenodo

Uncovering Bias in Personal Informatics

Autori: Yfantidou, Sofia; Sermpezis, Pavlos; Vakali, Athena; Baeza-Yates, Ricardo
Pubblicato in: 2023
Editore: Zenodo

Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning

Autori: Garcia Bernal, Daniel; Giaretta, Lodovico; Girdzijauskas, Sarunas; Sahlgren, Magnus
Pubblicato in: Numero 2, 2021
Editore: arxiv
DOI: 10.48550/arxiv.2105.00831

Towards a Realistic Decentralized Naive Bayes with Differential Privacy

Autori: Giaretta, Lodovico; Marchioro, Thomas; Markatos, Evangelos; Girdzijauskas, Sarunas
Pubblicato in: Numero 1, 2023
Editore: Technical Report
DOI: 10.5281/zenodo.8088050

Fully-Decentralized Training of GNNs using Layer-wise Self-Supervision

Autori: Giaretta, Lodovico; Girdzijauskas, Sarunas
Pubblicato in: Numero 1, 2023
Editore: Technical Report
DOI: 10.5281/zenodo.8088060

Metasoma: Decentralized and Collaborative Early-Stage Detection of IoT Botnets

Autori: Giaretta, Lodovico; Lekssays, Ahmed; Carminati, Barbara; Ferrari, Elena; Girdzijauskas, Sarunas
Pubblicato in: Numero 1, 2023
Editore: Technical Report
DOI: 10.5281/zenodo.8088043

Towards Decentralized Graph Learning

Autori: Giaretta, Lodovico
Pubblicato in: Numero 5, 2023
Editore: KTH
DOI: 10.5281/zenodo.8088094

È in corso la ricerca di dati su OpenAIRE...

Risultati finali

Pubblicazioni

Condividi questa pagina

Scarica