arXiv subjects

Ernesto Sanchez

Publications and source records attributed to Ernesto Sanchez.

7 recordsLinked to original sources

arXiv2025

Power Side-Channel Analysis of the CVA6 RISC-V Core at the RTL Level Using VeriSide

Security in modern RISC-V processors demands more than functional correctness: It requires resilience to side-channel attacks. This paper evaluates the vulnerability of the side channel of the CVA6 RISC-V core by analyzing software-based AES encryption uses an RTL-level power profiling framework called VeriSide. This work represents that this design's Correlation Power Analysis (CPA) reveals significant leakage, enabling key recovery. These findings underscore the importance of early-stage RTL assessments in shaping future secure RISC-V designs.

cs.CR↗

arXiv2025

QCaMP: A 4-Week Summer Camp Introducing High School Students to Quantum Information Science and Technology

The 2024 Quantum Computing, Math and Physics Camp (QCaMP) for Students was a 4-week long summer camp aimed at introducing high school students to quantum concepts and careers, including applications spanning quantum computing, sensing, and communication. The program ran for 7 hours/day, Monday-Friday, July 1-26, and included hands-on modules and activities, professional development, and project-based learning. Here we provide details on the camp curriculum and outcomes based on pre and post knowledge and attitudes assessments.

physics.ed-ph↗

arXiv2024

CAN-MM: Multiplexed Message Authentication Code for Controller Area Network message authentication in road vehicles

The automotive market is increasingly profitable for cyberattacks with the constant shift toward fully interconnected vehicles. Electronic Control Units (ECUs) installed on cars often operate in a critical and hostile environment. Hence, both carmakers and governments have decided to support a series of initiatives to mitigate risks and threats belonging to the automotive domain. The Controller Area Network (CAN) is the primary communication protocol in the automotive field, and the integrity of the communication over this network is assured through Message Authentication Codes (MAC). However, limitations in throughput and frame size limit the application of this technique to specific versions of the CAN protocol, leaving several vehicles still unprotected. This paper presents CAN Multiplexed MAC (CAN-MM), a new approach exploiting frequency modulation to multiplex MAC data with standard CAN communication. CAN-MM allows transmitting MAC payloads maintaining full-back compatibility with all versions of the standard CAN protocol. Moreover, multiplexing allows sending DATA and MAC simultaneously.

cs.CR↗

arXiv2023

Special Session: Approximation and Fault Resiliency of DNN Accelerators

Deep Learning, and in particular, Deep Neural Network (DNN) is nowadays widely used in many scenarios, including safety-critical applications such as autonomous driving. In this context, besides energy efficiency and performance, reliability plays a crucial role since a system failure can jeopardize human life. As with any other device, the reliability of hardware architectures running DNNs has to be evaluated, usually through costly fault injection campaigns. This paper explores the approximation and fault resiliency of DNN accelerators. We propose to use approximate (AxC) arithmetic circuits to agilely emulate errors in hardware without performing fault injection on the DNN. To allow fast evaluation of AxC DNN, we developed an efficient GPU-based simulation framework. Further, we propose a fine-grain analysis of fault resiliency by examining fault propagation and masking in networks

cs.LG↗

arXiv2023

PSP Framework: A novel risk assessment method in compliance with ISO/SAE-21434

As more cars connect to the internet and other devices, the automotive market has become a lucrative target for cyberattacks. This has made the industry more vulnerable to security threats. As a result, car manufacturers and governments are working together to reduce risks and prevent cyberattacks in the automotive sector. However, existing attack feasibility models derived from the information technology field may not always provide accurate assessments of the potential risks faced by Vehicle Electronic Control Units in different operating conditions and domains. This paper introduces the PUNCH Softronix and Politecnico di Torino (PSP) framework to address this issue. This framework is designed to provide accurate assessments compatible with the attack feasibility models defined by the automotive product security standards. The PSP framework utilizes social sentiment analysis to evaluate the real threat risk levels.

cs.CR↗

arXiv2022

LIN-MM: Multiplexed Message Authentication Code for Local Interconnect Network message authentication in road vehicles

The automotive market is profitable for cyberattacks with the constant shift toward interconnected vehicles. Electronic Control Units (ECUs) installed on cars often operate in a critical and hostile environment. Hence, both carmakers and governments have supported initiatives to mitigate risks and threats belonging to the automotive domain. The Local Interconnect Network (LIN) is one of the most used communication protocols in the automotive field. Today's LIN buses have just a few light security mechanisms to assure integrity through Message Authentication Codes (MAC). However, several limitations with strong constraints make applying those techniques to LIN networks challenging, leaving several vehicles still unprotected. This paper presents LIN Multiplexed MAC (LINMM), a new approach for exploiting signal modulation to multiplex MAC data with standard LIN communication. LINMM allows for transmitting MAC payloads, maintaining fullback compatibility with all versions of the standard LIN protocol.

cs.CR↗

arXiv2022

EXT-TAURUM P2T: an Extended Secure CAN-FD Architecture for Road Vehicles

The automobile industry is no longer relying on pure mechanical systems; instead, it benefits from advanced Electronic Control Units (ECUs) in order to provide new and complex functionalities in the effort to move toward fully connected cars. However, connected cars provide a dangerous playground for hackers. Vehicles are becoming increasingly vulnerable to cyber attacks as they come equipped with more connected features and control systems. This situation may expose strategic assets in the automotive value chain. In this scenario, the Controller Area Network (CAN) is the most widely used communication protocol in the automotive domain. However, this protocol lacks encryption and authentication. Consequently, any malicious/hijacked node can cause catastrophic accidents and financial loss. Starting from the analysis of the vulnerability connected to the CAN communication protocol in the automotive domain, this paper proposes EXT-TAURUM P2T a new low-cost secure CAN-FD architecture for the automotive domain implementing secure communication among ECUs, a novel key provisioning strategy, intelligent throughput management, and hardware signature mechanisms. The proposed architecture has been implemented, resorting to a commercial Multi-Protocol Vehicle Interface module, and the obtained results experimentally demonstrate the approach's feasibility.

cs.CR↗