Compiler optimizations as a countermeasure against side-channel analysis in MSP430-based devices

Area of Science:

• Computer Science
• Cybersecurity
• Embedded Systems

Background:

• Ambient Intelligence (AmI) relies on distributed, low-cost devices managing sensitive data and operations.
• Wireless Sensor Networks (WSN) often use microcontrollers like MSP430, which are physically accessible and vulnerable to attacks.
• Side-channel analysis (SCA) exploits data leakages during encryption to compromise device security.

Purpose of the Study:

• To develop an evaluation framework for analyzing the impact of compiler and backend optimizations on resistance to statistical SCA.
• To propose and evaluate an optimization-based software countermeasure for enhancing security in low-cost devices against SCA.

Main Methods:

• Development of a novel evaluation framework to assess SCA resistance.
• Implementation and analysis of an optimization-based software countermeasure.
• Testing on WSN platforms like TelosB utilizing MSP430 microcontrollers.

Main Results:

• The proposed framework effectively analyzes the effects of compiler optimizations on SCA resistance.
• The optimization-based countermeasure significantly increases resistance to statistical SCA in low-cost devices.
• Demonstrated practical application in securing AmI environments.

Conclusions:

• Compiler and backend optimizations can be leveraged to improve device security against SCA.
• The presented framework and countermeasure offer a viable solution for enhancing the security of embedded systems in AmI.
• Low-cost devices can achieve radical improvements in SCA resistance through software-based optimization strategies.