1 research outputs found
ERIC: An Efficient and Practical Software Obfuscation Framework
Modern cloud computing systems distribute software executables over a network
to keep the software sources, which are typically compiled in a
security-critical cluster, secret. We develop ERIC, a new, efficient, and
general software obfuscation framework. ERIC protects software against (i)
static analysis, by making only an encrypted version of software executables
available to the human eye, no matter how the software is distributed, and (ii)
dynamic analysis, by guaranteeing that an encrypted executable can only be
correctly decrypted and executed by a single authenticated device. ERIC
comprises key hardware and software components to provide efficient software
obfuscation support: (i) a hardware decryption engine (HDE) enables efficient
decryption of encrypted hardware in the target device, (ii) the compiler can
seamlessly encrypt software executables given only a unique device identifier.
Both the hardware and software components are ISA-independent, making ERIC
general. The key idea of ERIC is to use physical unclonable functions (PUFs),
unique device identifiers, as secret keys in encrypting software executables.
Malicious parties that cannot access the PUF in the target device cannot
perform static or dynamic analyses on the encrypted binary. We develop ERIC's
prototype on an FPGA to evaluate it end-to-end. Our prototype extends RISC-V
Rocket Chip with the hardware decryption engine (HDE) to minimize the overheads
of software decryption. We augment the custom LLVM-based compiler to enable
partial/full encryption of RISC-V executables. The HDE incurs minor FPGA
resource overheads, it requires 2.63% more LUTs and 3.83% more flip-flops
compared to the Rocket Chip baseline. LLVM-based software encryption increases
compile time by 15.22% and the executable size by 1.59%. ERIC is publicly
available and can be downloaded from https://github.com/kasirgalabs/ERICComment: DSN 2022 - The 52nd Annual IEEE/IFIP International Conference on
Dependable Systems and Network