Explore the words cloud of the RAMSES project. It provides you a very rough idea of what is the project "RAMSES" about.
The following table provides information about the project.
Coordinator |
POLITECNICO DI MILANO
Organization address contact info |
Coordinator Country | Italy [IT] |
Project website | http://www.ramses2020.eu |
Total cost | 3˙785˙931 € |
EC max contribution | 3˙532˙000 € (93%) |
Programme |
1. H2020-EU.3.7. (Secure societies - Protecting freedom and security of Europe and its citizens) |
Code Call | H2020-FCT-2015 |
Funding Scheme | IA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-09-01 to 2019-11-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | POLITECNICO DI MILANO | IT (MILANO) | coordinator | 310˙529.00 |
2 | UNIVERSIDAD COMPLUTENSE DE MADRID | ES (MADRID) | participant | 627˙125.00 |
3 | UNIVERSITY OF KENT | UK (CANTERBURY, KENT) | participant | 471˙487.00 |
4 | HOCHSCHULE FUR DEN OFFENTLICHEN DIENST IN BAYERN | DE (MUNCHEN) | participant | 367˙225.00 |
5 | UNIVERSITAT DES SAARLANDES | DE (SAARBRUCKEN) | participant | 301˙593.00 |
6 | TREELOGIC TELEMATICA Y LOGICA RACIONAL PARA LA EMPRESA EUROPEA SL | ES (LLANERA ASTURIAS) | participant | 289˙845.00 |
7 | SERVICE PUBLIC FEDERAL INTERIEUR | BE (BRUSSELS) | participant | 281˙906.00 |
8 | TRILATERAL RESEARCH LTD | UK (LONDON) | participant | 246˙225.00 |
9 | RISSC - CENTRO RICERCHE E STUDI SUSICUREZZA E CRIMINALITA ASSOCIAZIONE | IT (TORINO) | participant | 233˙781.00 |
10 | Ministério da Justiça | PT (Lisboa) | participant | 207˙843.00 |
11 | MINISTERIO DEL INTERIOR | ES (MADRID) | participant | 138˙000.00 |
12 | TREE TECHNOLOGY SA | ES (SIERO) | participant | 56˙437.00 |
The Internet has become a key piece of any business activity. Criminal activity is not an exception. Some crimes previous to the Internet, such as thefts and scams, have found in the Internet the perfect tool for developing their activities. The Internet allows criminals hiding their real identity and the possibility to purchase specific tools for stealing sensitive data with a very low investment.
The overall objective of RAMSES is to design and develop a holistic, intelligent, scalable and modular platform for Law Enforcement Agencies (LEAs) to facilitate digital Forensic Investigations. The system will extract, analyse, link and interpret information extracted from Internet related with financially-motivated malware.
Customers, developers and malware victims will be included in order to obtain a better understanding of how and where malware is spread and to get to the source of the threat. To achieve these ambitious objectives, this project will rely on disruptive Big Data technologies to firstly extract and storage, and secondly look for patterns of fraudulent behaviour in enormous amounts of unstructured and structured data. We will focus on 2 case studies: ransomware and banking Trojans.
In order to this, RAMSES brings together the latest technologies to develop an intelligent software platform, combining scraping of public and deep web, detecting manipulation and steganalysis for images and videos, tracking malware payments, extraction and analysis of malware samples and Big Data analysis and visualizations tools.
Validation pilots will take place in three different EU countries (Portugal, Belgium and Spain) being the first a mono-LEA pilot in each site and the second a collaborative investigation pilot between several LEAs.
Commercial potential will be validated during the project supported by a feasibility study to assess determinants for the adoption of the platform and appropriate business models.
Overview of existing approaches and best practices for digital surveillance by Law Enforcement Agencies | Documents, reports | 2020-02-28 08:17:26 |
Final report on other cryptocurrencies | Documents, reports | 2020-02-28 08:17:26 |
Economic improvements over the existing models | Documents, reports | 2020-02-28 08:17:26 |
Ethical Protocol | Documents, reports | 2020-02-28 08:17:26 |
Optimal model system | Demonstrators, pilots, prototypes | 2020-02-28 08:17:26 |
Design of the analysis system and specifications | Documents, reports | 2020-02-28 08:17:26 |
Findings on economic modelling of malware as a business model | Documents, reports | 2020-02-28 08:17:26 |
Establishment of RAMSES Advisory Board and sub committees | Documents, reports | 2020-02-28 08:17:26 |
Project website | Demonstrators, pilots, prototypes | 2020-02-28 08:17:26 |
Take a look to the deliverables list in detail: detailed list of RAMSES deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Michele Carminati, Mario Polino, Andrea Continella, Andrea Lanzi, Federico Maggi, Stefano Zanero Security Evaluation of a Banking Fraud Analysis System published pages: 1-31, ISSN: 2471-2566, DOI: 10.1145/3178370 |
ACM Transactions on Privacy and Security 21/3 | 2020-02-28 |
2017 |
Jorge Maestre Vidal, Ana Lucila Sandoval Orozco, Luis Javier GarcÃa Villalba Online masquerade detection resistant to mimicry published pages: 162-180, ISSN: 0957-4174, DOI: |
Expert Systems with Applications Volume 61, 1. November 2016 | 2020-02-28 |
2017 |
Holger Nitsch, Sarina Ronert EU-Projekt RAMSES: Internetbetrug effektiv bekämpfen published pages: 20, ISSN: , DOI: |
Europa in Reichweite Die Bayerische Forschungsallianz stellt sich vor 2017 | 2020-02-28 |
2016 |
Fernando Román Muñoz,
Esteban Alejandro Armas Vega,
Luis Javier GarcÃa Villalba Analyzing the traffic of penetration testing tools with an IDS published pages: 1-16, ISSN: 0920-8542, DOI: |
The Journal of Supercomputing | 2020-02-28 |
2018 |
Darren Hurley-Smith, Julio Hernandez-Castro Certifiably Biased: An In-Depth Analysis of a Common Criteria EAL4+ Certified TRNG published pages: 1031-1041, ISSN: 1556-6013, DOI: 10.1109/TIFS.2017.2777342 |
IEEE Transactions on Information Forensics and Security 13/4 | 2020-02-28 |
2017 |
Michele Carminati, Luca Valentini, Stefano Zanero A Supervised Auto-Tuning Approach for a Banking Fraud Detection System published pages: 215-233, ISSN: , DOI: 10.1007/978-3-319-60080-2_17 |
Cyber Security Cryptography and Machine Learning Vol. 10332 | 2020-02-28 |
2018 |
Román Muñoz, Fernando & GarcÃa Villalba, Luis. An algorithm to find relationships between web vulnerabilities published pages: , ISSN: 1573-0484, DOI: |
The Journal of Supercomputing | 2020-02-28 |
2017 |
Fernando Román Muñoz,
Iván Israel Sabido Cortes,
Luis Javier GarcÃa Villalba Enlargement of Vulnerable Web Applications for Testing published pages: 1-20, ISSN: 0920-8542, DOI: |
The Journal of Supercomputing | 2020-02-28 |
2016 |
Javier Portela, Luis GarcÃa Villalba, Alejandra Silva Trujillo, Ana Sandoval Orozco, Tai-Hoon Kim Estimation of Anonymous Email Network Characteristics through Statistical Disclosure Attacks published pages: 1832, ISSN: 1424-8220, DOI: 10.3390/s16111832 |
Sensors 16/11 | 2020-02-28 |
2017 |
Thibault de Balthasar
Julio Hernandez-Castro An Analysis of Bitcoin Laundry Services published pages: 297-312, ISSN: , DOI: |
Nordic Conference on Secure IT Systems November 2017 | 2020-02-28 |
2017 |
Julio Hernandez-Castro, Edward Cartwright, and Anna Stepanova Economic Analysis of Ransomware published pages: , ISSN: , DOI: |
20. March 2017 | 2020-02-28 |
2017 |
Max Metzger Economic analysis reveals cyber-criminals make bad business People. published pages: , ISSN: , DOI: |
SC Cybercrime 31. May 2017 | 2020-02-28 |
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The information about "RAMSES" are provided by the European Opendata Portal: CORDIS opendata.