Blockchain Attack and Defense Techniques

Informations projet

BAnDIT

N° de convention de subvention: 814284

DOI

10.3030/814284

Projet clôturé

Date de signature de la CE 24 Janvier 2019

Date de début 1 Mars 2019

Date de fin 28 Février 2023

Financé au titre de

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coût total

€ 1 051 413,84

Contribution de l’UE

€ 1 051 413,84

Coordonné par

UNIVERSIDAD POMPEU FABRA
Spain

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (12)

Formal analysis of BCT

Formal analysis of BCT

State of the art on blockchain sustainability models
Study of mechanisms against economic attacks
Initial PhD reports
Report on recruitment of fellows
Characterization of BCT sustainability
New incentive models design
Final PhD Reports
Study of the foundations of BCT protocols to big challenges
Contribution to workshops and conferences and publication of papers related to WP3

Contribution to workshops and conferences and publication of papers WP

Contribution to workshops and conferences and publication of papers related to WP4

Contribution to workshops and conferences and publication of papers

Contribution to workshops and conferences and publication of papers related to WP2

Contribution to workshops and conferences and publication of papers

Other (3)

Workshop on Blockchain Security beyond Financial Application

Workshop on Blockchain Security beyond Financial Application

School on Security and Privacy for the IoT
Workshop on Data Science for the IoT

Open Research Data Pilot (1)

Data management plan

Publications

Peer reviewed articles (2)

Offline Scaling of IoT Devices in IOTA Blockchain.

Auteurs: Rawat A, Daza V, Signorini M.
Publié dans: Sensors, 2022, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)

Do not rug on me: Leveraging machine learning techniques for automated scam detection

Auteurs: Mazorra, Bruno, Victor Adan, and Vanesa Daza
Publié dans: Mathematics, 2022, ISSN 2227-7390
Éditeur: MDPI

Conference proceedings (6)

Price of MEV: Towards a Game Theoretical Approach to MEV.

Auteurs: Mazorra, B., Reynolds, M., & Daza, V
Publié dans: Proceedings of the 2022 ACM CCS Workshop on Decentralized Finance and Security, 2022
Éditeur: ACM

Blockchains for the Governance of Common Goods

Auteurs: Philémon Poux, Primavera de Filippi, Simona Ramos
Publié dans: Proceedings of the 1st International Workshop on Distributed Infrastructure for Common Good, 2020, Page(s) 7-12, ISBN 9781450381970
Éditeur: ACM
DOI: 10.1145/3428662.3428793

Watch the Gap: Making code more intelligible to users without sacrificing decentralization?

Auteurs: Ramos, S., & Mannan, M.
Publié dans: 2022 IEEE 24th Conference on Business Informatics (CBI), 2022
Éditeur: IEEE

Exploring Blockchains Cyber Security Techno-Regulatory Gap. An Application to Crypto-Asset Regulation in the EU

Auteurs: Ramos, S., Melon, L., & Ellul, J.
Publié dans: 10th Graduate Conference in Law and Technology, 2022
Éditeur: SSRN

Fairtradex: A decentralised exchange preventing value extraction

Auteurs: McMenamin, C., Daza, V., Fitzi, M., & O'Donoghue, P.
Publié dans: Proceedings of the 2022 ACM CCS Workshop on Decentralized Finance and Security, 2022
Éditeur: ACM

Achieving state machine replication without honest players

Auteurs: Conor McMenamin, Vanesa Daza, Matteo Pontecorvi
Publié dans: Proceedings of the 3rd ACM Conference on Advances in Financial Technologies, 2021, Page(s) 1-14
Éditeur: Association for Computing Machinery
DOI: 10.1145/3479722.3480986

Non-peer reviewed articles (1)

A great disturbance in the crypto: Understanding cryptocurrency returns under attacks

Auteurs: Ramos, Simona; Pianese, Fabio; Oliveras, Ester.
Publié dans: Blockchain: Research and Applications, 2021, ISSN 2096-7209
Éditeur: Elsevier