会议信息

VehicleSec 2026: USENIX Symposium on Vehicle Security and Privacy

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截稿日期:
2026-02-24 已截稿
通知日期:
2026-04-07
会议日期:
2026-08-10
会议地点:
Baltimore, Maryland, USA
届数:
4
浏览: 1696   关注: 0   参加: 0
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VehicleSec
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会伴指数 (CP-I)

42.5 / 100
全站第 4,078 名 / 共 5,696 个会议 · 前 72%

安全与隐私 第 255 / 362

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
43
社区关注 (10%)
10
资料公开度 (15%)
35

用到的输入: 有据可查的届次:4 · 过去 24 个月打开过本页的研究者:3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-13

征稿

VehicleSec 2026 (USENIX Symposium on Vehicle Security and Privacy) is an academic conference held in Baltimore, Maryland, USA on 2026-08-10. The paper submission deadline is 2026-02-24. Acceptance notifications are sent on 2026-04-07.

Overview A vehicle is a machine that transports people and/or goods in one or more physical domains, such as on the ground (e.g., cars, bicycles, motorcycles, trucks, buses, scooters, trains), in the air (e.g., drones, airplanes, helicopters), in the water (e.g., ships, submarine), and in space (e.g., spacecraft). Due to their safety and mission-critical nature, the security and privacy of vehicles can pose direct threats to passengers, owners, operators, and the infrastructure. Recent improvements in vehicle autonomy and connectivity (e.g., autonomous driving, uncrewed aerial vehicles (UAVs), vehicle-to-everything (V2X) communication, intelligent transportation systems, and swarm robotics) have also served to exacerbate security and privacy challenges and thus require urgent attention from academia, industry, and policy-makers. To meet this critical need, VehicleSec aims to bring together an audience of university researchers, scientists, industry professionals, and government representatives to contribute new theories, technologies, and systems on any security/privacy issues related to vehicles (e.g., ground, aerial, in/on water, space), their sub-systems (e.g., in-vehicle networks, autonomy, connectivity, human-machine interfaces), supporting infrastructures (e.g., transportation infrastructure, charging station, ground control station), and related fundamental technologies (e.g., sensing, control, AI/ML/DNN/LLM, wireless communication, real-time computing, edge computing, location service, simulation, digital twin, multi-agent protocol/system design, and human-machine interaction). Demo/Poster Session VehicleSec will feature a demo/poster session to allow academic, governmental, and industry participants to share demonstrations and/or present posters of their latest practical attacks, defenses, and security/privacy tools or systems related to vehicles. Tutorial Session The symposium will also feature a tutorial session with an in-depth learning experience on one or more state-of-the-art topics in vehicle privacy and security presented by researchers or practitioners within the field. A tutorial should focus on its topic in detail and include references to the "must-read" papers or materials within its domain. Tutorials in which participants actively engage in exercises or hands-on work are particularly welcome. We encourage tutorials to include hands-on elements, live demonstrations, or interactive discussions. Each tutorial will be allocated a one-hour slot. Proposals should clearly indicate the format of the tutorial, prerequisites for participating in the tutorial (e.g., background knowledge, program languages), required materials (e.g., hardware, datasets, virtual machine images, wifi access), including (if any) material provided by the applicant (e.g., hardware, documentation). Lightning Talks Session The symposium will feature a Lightning Talks session with short and engaging 5-minute in-person presentations on any topics that can be worth a timely shout-out to the VehicleSec community, which include but are not limited to emerging hot topics, preliminary research results, practical problems encountered, lessons learned, the introduction of tutorials and education materials, tips and tricks, simulators/simulations, data and visualizations (e.g., autonomous driving datasets), or other (interdisciplinary) topics related to vehicles. Awards Accepted papers and demos/posters will be considered for Best Paper Award and Best Demo Award. Accepted artifacts will be considered for the Distinguished Artifact Award. Areas of Interest Topics of interest include, but are not limited to: Embedded/sensor/analog/actuator security, privacy, and forensics in vehicle settings Vehicle-related malware/firmware analysis Secure/resilient/trustworthy/privacy-preserving perception, localization, planning, and control in autonomous/automated vehicles Security/safety/robustness verification related to vehicles Intra- and inter-vehicle network (e.g., CAN bus, V2X, remote operator channel) security Multi-vehicle coordination/cooperation (e.g., V2X, drone swarm) security Compliance with policies (e.g., legal, security, privacy, safety, and environmental policies) Secure integration of hardware and software systems for vehicles (e.g., ground, aerial) Secure software/hardware updates in vehicle settings (e.g., cars, drones, airplanes, spacecraft) Privacy challenges in vehicle settings, (e.g., driver/passenger privacy, drone/car/robot spying, intellectual property stealing, etc.) Privacy-preserving data sharing and analysis in vehicle settings Security/privacy in electric, medium- and heavy-duty vehicle systems Security/privacy in Intelligent Transportation Systems (ITS), (e.g., intelligent traffic signals) Security/privacy for vehicle-related supporting infrastructure (e.g., charging) Secure vehicle-related software/hardware development process (e.g., debugging tools, simulators, testbed) and their own security/privacy Security/privacy of any vehicle-related fundamental technologies (e.g., sensing, control, AI, location service, IoT, etc.) Human factors, trust, humans in the loop, and usable security related to vehicles Security/privacy/resilience-related metrics and risk assessment for vehicles GenAI-enabled attacks on vehicles and corresponding defensive approaches GenAI tools and frameworks for the security of vehicles
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