Code Renewability for Native Software Protection

Article

Abrath, B., Coppens, B., Van Den Broeck, J., Wyseur, B., Cabutto, A., Falcarin, P. and De Sutter, B. 2020. Code Renewability for Native Software Protection. ACM Transactions on Privacy and Security. 23 (Art. 20). https://doi.org/10.1145/3404891
AuthorsAbrath, B., Coppens, B., Van Den Broeck, J., Wyseur, B., Cabutto, A., Falcarin, P. and De Sutter, B.
Abstract

Software protection aims at safeguarding assets embedded in software by preventing and delaying reverse engineering and tampering attacks. This paper presents an architecture and supporting tool flow to renew parts of native applications dynamically. Renewed and diversified code and data belonging to either the original application or to linked-in protections are delivered from a secure server to a client on demand. This results in frequent changes to the software components when they are under attack, thus making attacks harder. By supporting various forms of diversification and renewability, novel protection combinations become available, and existing combinations become stronger. The prototype implementation is evaluated on a number of industrial use cases.

KeywordsSoftware reverse engineering; Digital rights management; online protection; diversification; man-at-the-end attacks; software updates; security and privacy
JournalACM Transactions on Privacy and Security
Journal citation23 (Art. 20)
ISSN2471-2566
Year2020
PublisherAssociation for Computing Machinery (ACM)
Accepted author manuscript
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Anyone
Digital Object Identifier (DOI)https://doi.org/10.1145/3404891
Publication dates
Online25 Aug 2020
Publication process dates
Accepted01 May 2020
Deposited30 Jun 2020
FunderEU FP7
External resource ASPIRE-FP7 / framework
ASPIRE Renewability framework
ASPIRE-FP7 Project Demonstrations
Copyright holder© 2020 Copyright held by the owner/author(s).
Copyright informationThis is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record is to be published in ACM Transactions on Privacy and Security, https://doi.org/10.1145/3404891.
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