Modern technological industries fused with the Internet-of-Things (IoT) have been advancing rapidly. The joint usage of several technologies has led to reshaping modeling and simulation techniques into virtualization physical systems. Thus, concept virtual prototyping emerged as a significant development in distributed IoT applications that includes early exploration, optimization, security assessments. Several employing various types e.g., platforms, digital twins, application-specific...

Modern automobiles include hundreds of electronic controller units, a large number sensors and actuation modules, several in-vehicle networks, megabytes software code. The goal functional safety is to assess the potential risk hazardous conditions resulting from malfunctioning in these components. Achieving for modern automotive systems entails variety complex steps including interpretation standards, developing solutions, making case, all which are getting constantly refined updated as...

A critical requirement for robust, optimized, and secure design of vehicular systems is the ability to do system-level exploration, i.e., comprehend interactions involved among electronic control units (ECUs), sensors, communication interfaces in realizing use cases impact various choices on these interactions. This must be done early system enable designer make optimal without requiring a cost-prohibitive overhaul. In this article, we develop virtual prototyping environment modeling...

Security is a critical concern in the emergent era of autonomous vehicles. Nevertheless, security challenges automotive systems are not well-understood except by small set selected experts. In this paper, we address problem developing novel, flexible exploration platform for security. Our framework, AutoHal, enables user to get hands-on understanding compromises. We discuss unique and requirements design such an platform. use exploring ranging sensor attacks.

We develop a virtual prototyping infrastructure for modeling and simulation of automotive systems. focus on exercising exploring use cases involving system-level coordination vehicular electronics, sensors, software. In current practice, such can only be explored late in the design when all relevant hardware components are available. Any change, e.g., optimization or security even functional errors found during exploration, incurs prohibitive cost at that stage. Our solution is flexible,...

We develop an approach for systematically designing continuous monitoring solutions early symptom diagnosis. Effective diagnosis requires collecting and correlating symptoms derived from a number of vitals. For solution, it is crucial to determine the vitals be monitored targeted detection, errors that can tolerated, various parameters need tuned, etc. Furthermore, this determination must made before design solution itself. Our shows how use variety machine learning techniques derive, tune,...

A modern automobile system is a safety-critical distributed embedded that incorporates more than hundred Electronic Control Units, wide range of sensors, and actuators, all connected with several in-vehicle networks. Obviously, integration these heterogeneous components can lead to subtle errors be possibly exploited by malicious entities in the field, resulting catastrophic consequences. We develop prototyping platform enable functional safety security exploration automotive systems. The...

Security is a critical challenge in emergent autonomous vehicles. However, the security challenges automotive systems are not widely understood even cybersecurity community. To address this problem, we develop an adaptable exploration platform for security. This enables users to gain hands-on experience and insights into vulnerabilities. We discuss specific prerequisites involved designing such tool. demonstrate platform's capabilities by exploring ranging sensor attacks.