{"title":"海报:面向ROS应用安全评估的完整计算图生成","authors":"Y. Luo, Ziwen Wan, Qi Alfred Chen","doi":"10.1145/3548606.3563540","DOIUrl":null,"url":null,"abstract":"Robot Operating System (ROS) is a popular middleware suite providing a set of libraries and tools to help with building robot applications. The ROS community makes it possible for developers to compose their own robot applications by simply integrating open-sourced software of different functionalities as standalone processes (ROS nodes) in their own application. These processes communicate with each other through the infrastructure provided by ROS, forming a graph of nodes called computation graph. However, adopting third-party software introduces the possibility of supply-chain attacks. By interacting with other nodes, the third-party ROS nodes seeming to be the most harmless can violate users' privacy, launch denial of service attacks, and even cause danger to human lives, due to the cyber-physical nature of robot applications. To allow effective security assessment of robot applications, we are the first to propose to explore a hybrid program analysis-based method to extract these interactions, i.e. the computation graph, from source code and identify the potentially malicious nodes within the graph.","PeriodicalId":435197,"journal":{"name":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poster: Towards Complete Computation Graph Generation for Security Assessment of ROS Applications\",\"authors\":\"Y. Luo, Ziwen Wan, Qi Alfred Chen\",\"doi\":\"10.1145/3548606.3563540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Robot Operating System (ROS) is a popular middleware suite providing a set of libraries and tools to help with building robot applications. The ROS community makes it possible for developers to compose their own robot applications by simply integrating open-sourced software of different functionalities as standalone processes (ROS nodes) in their own application. These processes communicate with each other through the infrastructure provided by ROS, forming a graph of nodes called computation graph. However, adopting third-party software introduces the possibility of supply-chain attacks. By interacting with other nodes, the third-party ROS nodes seeming to be the most harmless can violate users' privacy, launch denial of service attacks, and even cause danger to human lives, due to the cyber-physical nature of robot applications. To allow effective security assessment of robot applications, we are the first to propose to explore a hybrid program analysis-based method to extract these interactions, i.e. the computation graph, from source code and identify the potentially malicious nodes within the graph.\",\"PeriodicalId\":435197,\"journal\":{\"name\":\"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3548606.3563540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3548606.3563540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: Towards Complete Computation Graph Generation for Security Assessment of ROS Applications
Robot Operating System (ROS) is a popular middleware suite providing a set of libraries and tools to help with building robot applications. The ROS community makes it possible for developers to compose their own robot applications by simply integrating open-sourced software of different functionalities as standalone processes (ROS nodes) in their own application. These processes communicate with each other through the infrastructure provided by ROS, forming a graph of nodes called computation graph. However, adopting third-party software introduces the possibility of supply-chain attacks. By interacting with other nodes, the third-party ROS nodes seeming to be the most harmless can violate users' privacy, launch denial of service attacks, and even cause danger to human lives, due to the cyber-physical nature of robot applications. To allow effective security assessment of robot applications, we are the first to propose to explore a hybrid program analysis-based method to extract these interactions, i.e. the computation graph, from source code and identify the potentially malicious nodes within the graph.