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RAMSES SIGNED

Internet Forensic platform for tracking the money flow of financially-motivated malware

Total Cost €

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EC-Contrib. €

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Partnership

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 RAMSES project word cloud

Explore the words cloud of the RAMSES project. It provides you a very rough idea of what is the project "RAMSES" about.

adoption    site    scalable    spread    tracking    unstructured    commercial    identity    determinants    crimes    modular    exception    visualizations    criminals    trojans    holistic    digital    ramses    agencies    platform    big    belgium    steganalysis    link    deep    manipulation    possibility    first    forensic    investment    technologies    firstly    data    tools    obtain    found    purchase    place    countries    patterns    latest    images    validation    threat    financially    software    structured    business    internet    victims    hiding    interpret    collaborative    extraction    enforcement    spain    motivated    look    public    source    lea    pilot    payments    fraudulent    perfect    extracted    enormous    web    samples    scams    feasibility    leas    developers    storage    thefts    malware    disruptive    amounts    tool    criminal    detecting    portugal    appropriate    investigations    videos    banking    customers    pilots    secondly    intelligent    rely    investigation    brings    law    piece    extract    mono    models    combining    validated    sensitive    scraping    ransomware    stealing   

Project "RAMSES" data sheet

The following table provides information about the project.

Coordinator
POLITECNICO DI MILANO 

Organization address
address: PIAZZA LEONARDO DA VINCI 32
city: MILANO
postcode: 20133
website: www.polimi.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
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

Map

 Project objective

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.

 Deliverables

List of deliverables.
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.

 Publications

year authors and title journal last update
List of publications.
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 García 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 García 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 & García 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 García 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 García 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.

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