Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security最新文献

Towards Minimizing MAC Utilization for Controller Area Network 控制器局域网MAC利用率最小化的研究

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-03-16 DOI: 10.1145/3375706.3380557

Ryo Kurachi, H. Takada, Hiroshi Ueda, Shuhei Takimoto

引用次数: 3

Towards Effective Identification and Rating of Automotive Vulnerabilities 汽车安全漏洞有效识别与评级研究

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-03-16 DOI: 10.1145/3375706.3380556

Pranshu Bajpai, R. Enbody

引用次数: 3

Ransomware Targeting Automobiles 针对汽车的勒索软件

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-03-16 DOI: 10.1145/3375706.3380558

Pranshu Bajpai, R. Enbody, B. Cheng

引用次数: 15

Linear-Quadratic Game Theoretic Analysis for Securing Battery Management Power Converter Systems 电池管理电源变换器系统安全的线性二次博弈分析

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-03-16 DOI: 10.1145/3375706.3380553

Patrick Gu, Ryan M. Gerdes

引用次数: 0

On the Efficacy of Model-Based Attack Detectors for Unmanned Aerial Systems 基于模型的无人机攻击检测器的有效性研究

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-03-16 DOI: 10.1145/3375706.3380555

Ian Y. Garrett, Ryan M. Gerdes

{"title":"On the Efficacy of Model-Based Attack Detectors for Unmanned Aerial Systems","authors":"Ian Y. Garrett, Ryan M. Gerdes","doi":"10.1145/3375706.3380555","DOIUrl":"https://doi.org/10.1145/3375706.3380555","url":null,"abstract":"Unmanned Aerial Systems (UAS), informally known as drones, are cyber-physical systems (CPS) that operate by remote human control or autonomous control. UAS are increasingly being used in a wide variety of applications, such as search and rescue, delivery of goods, or surveillance. These systems rely on sensors and actuators to evaluate their current state and take further action; due to the reliance on sensors and actuators, it is critical to thwart an adversary's attempt to compromise these elements. Security in these systems rely on detectors to find malicious activity, many of which require models of the system to compare what the readings are versus the expected value. Due to measurement and process noise, it is possible that an adversary may perpetrate undetectable attacks. In this paper we examine the sensitivity of model-based attack detectors to measurement and modeling uncertainty, ultimately showing the weaknesses in relying solely on model-based detectors for attack detection. We demonstrate attacks on a simulation of the Senior Telamaster UAS and evaluate the performance of multiple attack detectors after modifications on various parameters, such as those related to internal factors, e.g., measurement noise, as well as external forces, e.g., wind, ultimately showing that an attacker is able to evade detection due to fundamental limitations in the model-based approach.","PeriodicalId":387296,"journal":{"name":"Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114224542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

CVShield

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-03-12 DOI: 10.1145/3375706.3380552

Shengtuo Hu, Qi Alfred Chen, Jiwon Joung, Can Carlak, Yiheng Feng, Z. Morley Mao, Henry X. Liu

{"title":"CVShield","authors":"Shengtuo Hu, Qi Alfred Chen, Jiwon Joung, Can Carlak, Yiheng Feng, Z. Morley Mao, Henry X. Liu","doi":"10.1145/3375706.3380552","DOIUrl":"https://doi.org/10.1145/3375706.3380552","url":null,"abstract":"The emerging Connected Vehicle (CV) technology enables vehicles to wirelessly exchange safety and mobility information (e.g., location and speed) with traffic infrastructure and other vehicles. Existing CV applications heavily rely on sensor inputs (e.g., GPS). However, previous work has shown that the attacker can cause severe congestion or increased safety risks by compromising vehicles and broadcasting falsified sensor data. Thus, it is highly desirable to ensure the integrity of sensor data. In this paper, to prevent compromised vehicles from sending falsified sensor data, we propose a system CVShield, which utilizes the recent advances in hardware-assisted security (e.g., ARM TrustZone). CVShield can ensure the integrity of the sensor data from their reading to their transmission at the vehicle side. In general, we relocate all codes that are related to sensor data reading, processing, encapsulation, and transmission from the rich execution environment (REE) into the trusted execution environment (TEE). However, manually extracting code sections is laborious and error-prone. Also, we should minimize the size of the trusted computing base (TCB) in TEE to reduce the attack surface. To achieve these goals, we propose to leverage program slicing to automatically extract code sections and eliminating irrelevant codes in large codebases. Our initial results demonstrate that CVShield can support GPS data reading, and our optimization can eliminate the time overhead introduced by context switches of TrustZone.","PeriodicalId":387296,"journal":{"name":"Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122737668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Secure Traffic Lights: Replay Attack Detection for Model-based Smart Traffic Controllers 安全交通灯:基于模型的智能交通控制器的重放攻击检测

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-03-09 DOI: 10.1145/3375706.3380554

Pratham Oza, M. Foruhandeh, Ryan M. Gerdes, Thidapat Chantem

引用次数: 3

Security and Privacy Challenges in Upcoming Intelligent Urban Micromobility Transportation Systems 即将到来的智能城市微交通系统的安全和隐私挑战

Proceedings of the Second ACM Workshop on Automotive and Aerial Vehicle Security Pub Date : 2020-01-06 DOI: 10.1145/3375706.3380559

Nisha Vinayaga-Sureshkanth, Raveen Wijewickrama, Anindya Maiti, Murtuza Jadliwala

引用次数: 10