ROSETTA

Rosetta s Way Back to the Source: Towards Reverse Engineering of Complex Software

Coordinatore	STICHTING VU-VUMC    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Netherlands [NL]
Totale costo	1˙339˙000 €
EC contributo	1˙339˙000 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2010-StG_20091028
Funding Scheme	ERC-SG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-05-01   -   2016-04-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	VERENIGING VOOR CHRISTELIJK HOGER ONDERWIJS WETENSCHAPPELIJK ONDERZOEK EN PATIENTENZORG  Organization address address: De Boelelaan 1105 city: AMSTERDAM postcode: 1081 HV contact info Titolo: Ms. Nome: Dirkje Cognome: Schinkelshoek Email: send email Telefono: +31 20 5987504 Fax: +31 20 5987448	NL (AMSTERDAM)	beneficiary	0.00
2	STICHTING VU-VUMC  Organization address address: DE BOELELAAN 1105 city: AMSTERDAM postcode: 1081 HV contact info Titolo: Dr. Nome: Hendrik Jaap Cognome: Bos Email: send email Telefono: +31 6 49 732 119 Fax: +31 20 5987653	NL (AMSTERDAM)	hostInstitution	1˙339˙000.00
3	STICHTING VU-VUMC  Organization address address: DE BOELELAAN 1105 city: AMSTERDAM postcode: 1081 HV contact info Titolo: Dr. Nome: Yvonne Cognome: Kops Email: send email Telefono: 31205987500	NL (AMSTERDAM)	hostInstitution	1˙339˙000.00

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'We propose a research program (Rossetta) towards reverse engineering of complex software that is available only in binary form. Most of the commercial software industry assumes that compilation (the translation of source code to binary code), is irreversible in practice for real applications. The research question for Rosetta is whether this irreversibility assumption is reasonable. If successful, the project will have a major impact on the software industry.

The challenge is daunting, because binary code after compilation lacks most of the visible structure and semantic information that is available at the source code level. There is no definition of data structures, no helpful names of variables and functions, no semantic information, and no indication of what chunks of instructions are supposed to do.

However, the Rosetta project has a clear methodology for source recovery. Reverse engineering is approached as an iterative process with an initial focus on recovering data structures, followed by recovery of code. We combine static and dynamic techniques with usage monitoring and machine learning. A key insight is that even if all visible structure has been removed from the data in memory, the structures will still be *used* in a way that corresponds to the source code. By observing the use of data and application of machine learning techniques, we will recover both the data and the source.

We store all information that we uncover in the Rosetta database. The database provides a handle on both the data structures and large sections of the code (and at various levels of abstraction). We believe that our methods will allow reverse engineering of very complex commercial software. Doing so will be our main criterion for success. In addition, however, we propose to demonstrate the usefulness of our analysis by automatically hardening software (to make it resilient against many types of attack) without requiring any access to the source co'