CRFeb 19, 2018

Sponge-Based Control-Flow Protection for IoT Devices

arXiv:1802.06691v150 citations
Originality Incremental advance
AI Analysis

This addresses security vulnerabilities for IoT devices, offering a novel protection mechanism against physical and software attacks, though it is incremental in applying sponge-based cryptography to a specific domain.

The paper tackles security threats like code injection and control-flow attacks on IoT devices by introducing Sponge-based Control Flow Protection (SCFP), a hardware-software scheme that encrypts and authenticates instructions, resulting in average overheads of 19.8% in code size and 9.1% in execution time.

Embedded devices in the Internet of Things (IoT) face a wide variety of security challenges. For example, software attackers perform code injection and code-reuse attacks on their remote interfaces, and physical access to IoT devices allows to tamper with code in memory, steal confidential Intellectual Property (IP), or mount fault attacks to manipulate a CPU's control flow. In this work, we present Sponge-based Control Flow Protection (SCFP). SCFP is a stateful, sponge-based scheme to ensure the confidentiality of software IP and its authentic execution on IoT devices. At compile time, SCFP encrypts and authenticates software with instruction-level granularity. During execution, an SCFP hardware extension between the CPU's fetch and decode stage continuously decrypts and authenticates instructions. Sponge-based authenticated encryption in SCFP yields fine-grained control-flow integrity and thus prevents code-reuse, code-injection, and fault attacks on the code and the control flow. In addition, SCFP withstands any modification of software in memory. For evaluation, we extended a RISC-V core with SCFP and fabricated a real System on Chip (SoC). The average overhead in code size and execution time of SCFP on this design is 19.8% and 9.1%, respectively, and thus meets the requirements of embedded IoT devices.

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