ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 A Threat Based Approach to Computational Offloading for Collaborative Cruise Control
Cited 1 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
Al Tariq Sheik, Carsten Maple, Tim Watson, Hassam Alhagagi, Nader Sohrabi Safa, 이상우
발행일
201703
출처
International Conference on Internet of Things, Data and Cloud Computing (ICC) 2017, pp.1-9
DOI
https://dx.doi.org/10.1145/3018896.3056792
협약과제
17PH1300, 자율(협력)주행 차량간 및 주변환경과 안전한 신뢰 연동을 위한 고속상호인증 및 해킹대응 보안플랫폼 기술 개발, 이상우
초록
The interaction between discrete components of Internet of Things (IoT) and Intelligent Transportation Systems (ITS) is vital for a collaborative system. The secure and reliable use of Cruise Control (CC) with Cloud and Edge Cloud to achieve complete autonomy for a vehicle is a key component and a major challenge for ITS. This research unravels the complications that arise when Adaptive Cruise Control (ACC) is incorporated into a collaborative environment. It mainly answers the question of where to securely compute Collaborative Cruise Control's (CCC) data in a connected environment. To address this, the paper initially reviews previous research in the domain of Vehicular Cloud, ITS architecture, related threat modelling approaches, and secure implementations of ACC. An overview application model for CCC is developed for performing a threat analysis with the purpose of investigating the reasons why a vehicle suffers collision. Through the use of interviews, the research analyses and suggests the location of computational data by creating a taxonomy between the Edge Cloud, Cloud and the On-board Unit (OBU) while validating the model.
키워드
Collaborative Cruise Control, Connected Autonomous Vehicles, Secure Intelligent Transportation System, Threat Modelling, Vehicular Cloud Computing
KSP 제안 키워드
Adaptive Cruise Control(ACC), Application model, Based Approach, Collaborative environment, Collaborative system, Computational offloading, Connected autonomous vehicles, Edge cloud, ITS Architecture, Intelligent Transport Systems(ITS), Internet of thing(IoT)