HEMA: A Hands-on Exploration Platform for MEMS Sensor Attacks

TL;DR

This paper introduces HEMA, an affordable, flexible platform for hands-on learning about MEMS sensor security in automotive systems, aiming to improve practical understanding for novices and professionals.

Contribution

The paper presents a novel exploration platform, HEMA, designed to facilitate practical learning and research on MEMS sensor security in automotive applications.

Findings

HEMA enables hands-on exploration of MEMS sensor security.

The platform is affordable and flexible for diverse educational settings.

It enhances understanding of automotive safety and security challenges.

Abstract

Automotive safety and security are paramount in the rapidly advancing landscape of vehicular technology. Building safe and secure vehicles demands a profound understanding of automotive systems, particularly in safety and security. Traditional learning approaches, such as reading materials or observing demonstrations, often fail to provide the practical, hands-on experience essential for developing this expertise. For novice users, gaining access to automotive-grade systems and mastering their associated hardware and software can be challenging and overwhelming. In this paper, we present a novel, affordable, and flexible exploration platform, \hema, that enables users to gain practical, hands-on insights into the security compromises of micro-electromechanical systems (MEMS) sensors, a critical component in modern ADAS systems. Furthermore, we discuss the unique challenges and design considerations involved in creating such a platform, emphasizing its role in enhancing the understanding of automotive safety and security. This framework serves as an invaluable resource for educators, researchers, and practitioners striving to build expertise in the field.