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dc.date.accessioned 2014-10-30T20:36:05Z
dc.date.available 2014-10-30T20:36:05Z
dc.date.issued 2014
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/42157
dc.description.abstract The analysis of binary code is a crucial activity in many areas of the computer sciences and software engineering disciplines ranging from software security and program analysis to reverse engineering. Manual binary analysis is a di cult and time-consuming task and there are software tools that seek to automate or assist human analysts. However, most of these tools have several technical and commercial restrictions that limit access and use by a large portion of the academic and practitioner communities. In this paper we introduce BARF, an open source binary analysis framework that aims to support a wide range of binary code analysis tasks that are common in the information security discipline. BARF is a scriptable platform that supports instruction lifting from multiple architectures, binary translation to an intermediate representation, an extensible framework for code analysis plugins and interoperation with external tools such as debuggers, SMT solvers and instrumentation tools. The framework is designed primarily for human-assisted analysis but it can be fully automated. en
dc.language en es
dc.title BARF: a multiplatform open source binary analysis and reverse engineering framework en
dc.type Objeto de conferencia es
sedici.creator.person Heitman, Christian es
sedici.creator.person Arce, Iván es
sedici.description.note III Workshop de Seguridad Informática (WSI) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras de Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2014-10
sedici.relation.event XX Congreso Argentino de Ciencias de la Computación (Buenos Aires, 2014) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)