By Topic

Design and Performance Evaluation of Binary Code Packing for Protecting Embedded Software against Reverse Engineering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Min-Jae Kim ; Dept. of Comput. Sci., Dankook Univ., Yongin, South Korea ; Jin-Young Lee ; Hye-Young Chang ; SeongJe Cho
more authors

Packing (or executable compression) is considered as one of the most effective anti-reverse engineering methods in the Microsoft Windows environment. Even though many reversing attacks are widely conducted in the Linux-based embedded system there is no widely used secure binary code packing tools for Linux. This paper presents two secure packing methods that use AES encryption and the UPX packer to protect the intellectual property (IP) of software from reverse engineering attacks on Linux-based embedded system. We call these methods: secure UPX and AES-encryption packing. Since the original UPX system is designed not for software protection but for code compression, we present two anti-debugging methods in the unpacking module of the secure UPX to detect or abort reverse engineering attacks. Furthermore, since embedded systems are highly resource constrained, minimizing unpacking overhead is important. Therefore, we analyze the performance of the two packing methods from the perspective of: (i) code size, (ii) execution time, and (iii) power consumption. Our analysis results show that the Secure UPX performs better than AES-encryption packing in terms of the code size, execution time, and power consumption.

Published in:

2010 13th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing

Date of Conference:

5-6 May 2010