Return-oriented Programme Evolution with ROPER: A Proof of Concept

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Fraser:2017:GECCO,

• author = "Olivia Lucca Fraser and Nur Zincir-Heywood and Malcolm Heywood and John T. Jacobs",
• title = "Return-oriented Programme Evolution with {ROPER}: A Proof of Concept",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "1447--1454",
• size = "8 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3082508",
• DOI = "doi:10.1145/3067695.3082508",
• acmid = "3082508",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, ARM architecture, ROP attacks, exploit development",
• month = "15-19 " # jul,
• abstract = "Return-orientated programming (ROP) identifies code snippets ending in a return instruction (gadgets) and chains them together to construct exploits. Gadgets are already present in executable memory, thus avoiding the need to explicitly inject new code. As such ROP represents one of the most difficult exploit mechanisms to mitigate. ROP design is essentially driven by the skill of human hacker, limiting the ability of exploit mitigation to reacting to attacks. In this work we describe an evolutionary approach to ROP design, thus potentially pointing to the automatic detection of vulnerabilities before application code is released.",
• notes = "Also known as \cite{Fraser:2017:RPE:3067695.3082508} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Olivia Lucca Fraser Nur Zincir-Heywood Malcolm Heywood John T Jacobs

Citations