2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)最新文献

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Access Control in Dynamic IoT Scenarios 动态物联网场景下的访问控制
2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS) Pub Date : 2023-03-15 DOI: 10.1109/ISADS56919.2023.10092159
I. Yen, Ayu Tiwari, F. Bastani
{"title":"Access Control in Dynamic IoT Scenarios","authors":"I. Yen, Ayu Tiwari, F. Bastani","doi":"10.1109/ISADS56919.2023.10092159","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092159","url":null,"abstract":"We consider an IoT system where IoT devices are ubiquitous, distributed all over the environment. When some situation arises dynamically, the IoT services may collaborate to cope with the situation in a timely manner. During such collaboration, the collaborating IoT devices may have to access each other in order to accomplish the task. The accesses could involve the information and/or the control. To avoid causing security and privacy problems, sharing requires proper access control. Since there exists no preestablished security domain and the collaborating entities could belong to any owners, such as individuals, companies, organizations, and government agencies, the access control task in such open environment can be challenging. In this paper, we first survey existing access control models and analyze their suitability for such open IoT systems. Then, we propose a new model, Role-InverseView (RIV), for access control in open systems. In conventional role-based access control (RBAC) models, roles are defined by the security officers of an organization and are for subjects internal to the organization. In an open system, there is no predefined set of subjects and accessors could be anyone in the world. In RIV, we consider an inverse view of RBAC. Specifically, the owner of the resources defines its own version of roles and role hierarchy based its own view of the world of subjects who may access its IoT data and services. Permissions can then be defined on these owner defined roles. However, how to map the accessors to these RIV roles is an issue. We propose to mine the accessor information from the Internet and determine the role assignment accordingly. An infrastructure design is also presented to achieve efficient role mining and access validation.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124498398","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: 0
Policy-Based Task Allocation at Runtime for a Self-Adaptive Edge Computing Infrastructure 基于策略的自适应边缘计算基础设施运行时任务分配
2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS) Pub Date : 2023-03-15 DOI: 10.1109/ISADS56919.2023.10092022
Victor Pazmino Betancourt, Maximilian Kirschner, Marius Kreutzer, Jürgen Becker
{"title":"Policy-Based Task Allocation at Runtime for a Self-Adaptive Edge Computing Infrastructure","authors":"Victor Pazmino Betancourt, Maximilian Kirschner, Marius Kreutzer, Jürgen Becker","doi":"10.1109/ISADS56919.2023.10092022","DOIUrl":"https://doi.org/10.1109/ISADS56919.2023.10092022","url":null,"abstract":"Autonomous and distributed Industrial Internet of Things (IIoT) systems are increasingly developed and deployed. They have an enormous demand for resilience and availability. At the same time, they are in a constantly changing system environment. The underlying edge computing infrastructure is characterized by ever increasing processing power and connectivity as well as a high degree of decentralization. To reduce downtime and long redesign loops, self-adaptation capabilities are needed. Automatic reallocation of the executed tasks to the compute nodes is a possible self-adaptation measure. However, the reallocation should be compliant with the different demands, constraints and specifications of the design. At the same time, a major challenge is that the allocation decision should be fast enough to be calculated at runtime. This paper therefore proposes an allocation method that uses demands in the form of policies to compute automatic reallocation at runtime. The integration of the allocation method into runtime is enabled by combining constraint programming, step-wise multi-criteria solution approaches, and resource management at multiple levels. The policy-based allocation method is tested and evaluated in the context of a smart factory site for the function offloading of automated guided vehicles (AGVs) and driverless micromobiles. Our results show that the allocation method is capable of recalculating the allocation during runtime in milliseconds while maintaining design conformity. This enables the system to react to changes in the environment, thereby reducing the downtime of decentralized Industrial Internet of Things systems and increasing availability.","PeriodicalId":412453,"journal":{"name":"2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115066442","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: 0
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