Abstract. This paper introduces a new software polymorphism technique that randomizes program data structure layout. This technique will generate different data structure layouts for a program and thus diversify the binary code compiled from the same program source code. This technique can mitigate attacks (e.g., kernel rootkit attacks) that require knowledge about data structure definitions. It is also able to disrupt the generation of data structure-based program signatures. We have implemented our data structure layout randomization technique in the open source compiler collection gcc-4.2.4 and applied it to a number of programs. Our evaluation results show that our technique is able to achieve software binary diversity. We also apply the technique to one operating system data structure in order to foil a number of kernel rootkit attacks. Meanwhile, programs produced by the technique were analyzed by a state-of-the-art data structure inference system and it was demonstrated that reliance on data structure signatures alone may lead to false negatives in malware detection.
Lin et al. REF proposed a software polymorphism technique that randomizes program data structure layout via modifying the definition of a data structure to reorder the fields.
Polymorphing Software by Randomizing Data Structure Layout
International Conference on Computational Science (3)
Computer Science