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Public Video Surveillance: Using the Fog to Increase Privacy 公共视频监控:利用雾来增加隐私
M. Grambow, Jonathan Hasenburg, David Bermbach
In public video surveillance, there is an inherent conflict between public safety goals and privacy needs of citizens. Generally, societies tend to decide on middleground solutions that sacrifice neither safety nor privacy goals completely. In this paper, we propose an alternative to existing approaches that rely on cloud-based video analysis. Our approach leverages the inherent geo-distribution of fog computing to preserve privacy of citizens while still supporting camera-based digital manhunts of law enforcement agencies.
在公共视频监控中,公共安全目标与公民隐私需求之间存在着内在的冲突。一般来说,社会倾向于选择既不牺牲安全和隐私目标的中间解决方案。在本文中,我们提出了一种替代现有方法,依赖于基于云的视频分析。我们的方法利用雾计算固有的地理分布来保护公民的隐私,同时仍然支持执法机构基于摄像头的数字追捕。
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引用次数: 19
Supporting the Evaluation of Fog-based IoT Applications During the Design Phase 在设计阶段支持基于雾的物联网应用的评估
Jonathan Hasenburg, Sebastian Werner, David Bermbach
Fog application design is complex as it comprises not only the application architecture, but also the runtime infrastructure, and the deployment mapping from application modules to infrastructure machines. For each of these aspects, there is a variety of design options that all affect quality of service and cost of the resulting application. In this paper, we propose an approach for evaluating fog-based IoT applications already during an early design phase. Our approach relies on modeling and simulation to provide estimates for quality of service and cost so that developers can interactively choose a good application design.
雾应用程序设计是复杂的,因为它不仅包括应用程序体系结构,还包括运行时基础设施,以及从应用程序模块到基础设施机器的部署映射。对于这些方面中的每一个,都有各种各样的设计选项,它们都会影响到最终应用程序的服务质量和成本。在本文中,我们提出了一种在早期设计阶段评估基于雾的物联网应用的方法。我们的方法依赖于建模和仿真来提供服务质量和成本的估计,这样开发人员就可以交互式地选择一个好的应用程序设计。
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引用次数: 18
Real-time Distributed In-Situ Benchmarking of Energy Harvesting IoT Devices 能量收集物联网设备的实时分布式原位基准测试
A. Thangarajan, F. Yang, W. Joosen, D. Hughes
The deployment of Internet of Things (IoT) devices is accelerating across a wide range of applications. The majority of today's IoT devices are powered by batteries that can operate for a maximum of a few years, after which they need to be replaced. This introduces two problems. First, the effort that is required to manually replace batteries cannot economically scale to support the next billion IoT devices. Secondly, treating billions of toxic batteries as disposable is not environmentally friendly. Together, these problems form a critical road-block in deploying IoT solutions. The biggest problem facing the designers of IoT applications is ensuring that their application software is energy efficient enough to operate within the strict power envelope that is provided by batteries or energy harvesting hardware. In this paper, we tackle this problem through the introduction of a distributed benchmarking middleware that rapidly and accurately quantifies the power consumption of different software configurations. Critically, our middleware operates in real-time across a distributed network of devices, allowing developers to experiment with code changes at runtime. This makes it significantly easier for developers to write applications that operate within the power constraints of batteries or energy harvesting systems. We evaluate our approach on a real world energy harvesting testbed and demonstrate that benchmarking results are accurate, with limited overhead for developers.
物联网(IoT)设备在广泛应用领域的部署正在加速。今天的大多数物联网设备都是由电池供电的,电池最多可以工作几年,之后就需要更换。这就引出了两个问题。首先,手动更换电池所需的工作量无法经济地扩展到支持下一个10亿个物联网设备。其次,把数十亿的有毒电池当作一次性处理是不环保的。总之,这些问题构成了部署物联网解决方案的关键障碍。物联网应用设计人员面临的最大问题是确保他们的应用软件足够节能,能够在电池或能量收集硬件提供的严格功率范围内运行。在本文中,我们通过引入分布式基准测试中间件来解决这个问题,该中间件可以快速准确地量化不同软件配置的功耗。关键的是,我们的中间件在分布式设备网络上实时运行,允许开发人员在运行时试验代码更改。这使得开发人员更容易编写在电池或能量收集系统的功率限制下运行的应用程序。我们在真实世界的能量收集测试平台上评估我们的方法,并证明基准测试结果是准确的,开发人员的开销有限。
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引用次数: 3
Towards an Intelligent User-Oriented Middleware for Opportunistic Composition of Services in Ambient Spaces 面向智能用户的环境空间服务机会组合中间件研究
Walid Younes, Sylvie Trouilhet, F. Adreit, J. Arcangeli
Ambient and mobile systems consist of networked devices and software components surrounding human users and providing services. From the services present in the environment, other services can be composed opportunistically and automatically by an intelligent system and proposed to the user. This article first presents an illustrative use case, then explores the requirements and formulates related research questions. Next, it describes our approach aimed at answering the requirements, based on distributed artificial intelligence and multi-agent systems. It reports on the development of a prototype solution, and analyzes the current status of our work towards the different research questions that we have identified.
环境和移动系统由围绕人类用户并提供服务的网络设备和软件组件组成。从环境中存在的服务中,智能系统可以随机和自动地组合其他服务,并向用户提出建议。本文首先给出了一个说明性的用例,然后探讨了需求并制定了相关的研究问题。接下来,它描述了我们旨在满足需求的方法,基于分布式人工智能和多智能体系统。它报告了原型解决方案的开发,并分析了我们针对不同研究问题的工作现状。
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引用次数: 7
Cross-layer QoS-Aware Resource Allocation for IoT-Enabled Service Choreographies 支持物联网服务编排的跨层qos感知资源分配
F. Costa, N. Georgantas, R. Gomes, R. Rocha, Georgios Bouloukakis
Resource allocation for distributed systems is a well-known approach to deal with quality of service requirements. However, existing approaches do not consider the effects of resource allocation at the different levels of a system, especially when considering the end-to-end behavior of distributed compositions such as service choreographies. Based on our previous research on the optimized and QoS-aware resource allocation for service choreographies and publish-subscribe brokers, we outline a novel approach that integrates the treatment of resource allocation at both levels in order to yield a more precise control over end-to-end QoS. The paper presents an early architecture and discusses some of the main challenges towards realizing the approach.
分布式系统的资源分配是处理服务质量需求的一种众所周知的方法。然而,现有的方法没有考虑系统不同级别上资源分配的影响,特别是在考虑分布式组合(如服务编排)的端到端行为时。基于我们之前对服务编排和发布-订阅代理的优化和QoS感知资源分配的研究,我们概述了一种新的方法,该方法集成了两个级别的资源分配处理,以便对端到端QoS产生更精确的控制。本文提出了一个早期的体系结构,并讨论了实现该方法的一些主要挑战。
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引用次数: 1
Towards automated privacy risk assessments in IoT systems 面向物联网系统中的自动隐私风险评估
Milan Markovic, Waqar Asif, D. Corsar, Naomi Jacobs, P. Edwards, M. Rajarajan, C. Cottrill
Internet of Things (IoT) systems can often pose risk to users' privacy via disclosure of personal information to third parties. In this paper, we argue that to assess privacy risks associated with IoT systems, an automated solution is required due to the increasing pervasiveness and complexity of deployed IoT systems. We propose requirements for an automated privacy risk assessment service and outline our future plans for realising such a solution.
物联网(IoT)系统经常会通过向第三方披露个人信息而对用户的隐私构成风险。在本文中,我们认为,为了评估与物联网系统相关的隐私风险,由于部署的物联网系统日益普及和复杂,需要一个自动化的解决方案。我们提出了自动隐私风险评估服务的要求,并概述了我们实现此类解决方案的未来计划。
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引用次数: 7
Position paper: Towards End-to-end Privacy for Publish/Subscribe Architectures in the Internet of Things 意见书:面向物联网发布/订阅架构的端到端隐私
Stevan Coroller, S. Chabridon, M. Laurent-Maknavicius, D. Conan, J. Leneutre
The Internet of Things paradigm lacks end-to-end privacy solutions to consider its full adoption in real life scenarios in the near future. The recent enactment of the EU General Data Protection Regulation (GDPR) indeed emphasises the need for stronger security and privacy measures for personal data processing and free movement, including consent management and accountability by the data controller and processor. In this paper, we suggest an architecture to enforce end-to-end data usage control in Distributed Event-Based Systems (DEBS), from data producers to consumer services, taking into account some of the GDPR requirements concerning consent management and data processing transparency. Our architecture proposal is based on UCONABC usage control models, which we overlap with a distributed hash table overlay for scalability and fault-tolerance concerns, and across and within systems data usage control. Our proposal highlights the benefits of combining both DEBS and end-user usage control architectures. To complete our approach, we quickly survey existing encryption models that ensure data confidentiality in topic-based Publish/Subscribe systems and highlight the remaining obstacles to transpose them to content-based DEBS with an overlay of brokers.
物联网范式缺乏端到端的隐私解决方案,无法在不久的将来在现实生活中全面采用。最近颁布的欧盟通用数据保护条例(GDPR)确实强调了对个人数据处理和自由流动采取更强有力的安全和隐私措施的必要性,包括数据控制者和处理者的同意管理和问责制。在本文中,我们建议在分布式事件系统(DEBS)中实施端到端数据使用控制的架构,从数据生产者到消费者服务,考虑到有关同意管理和数据处理透明度的一些GDPR要求。我们的架构建议基于UCONABC使用控制模型,我们将其与分布式哈希表重叠,以实现可伸缩性和容错问题,以及跨系统和系统内部的数据使用控制。我们的建议强调了结合DEBS和最终用户使用控制体系结构的好处。为了完成我们的方法,我们快速调查了现有的加密模型,这些模型确保了基于主题的发布/订阅系统中的数据保密性,并强调了将它们转换为基于内容的带有代理覆盖的DEBS的剩余障碍。
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引用次数: 4
A Middleware Environment for Developing Internet of Things Applications 开发物联网应用的中间件环境
César Batista, Pedro Victor Silva, Everton Cavalcante, T. Batista, Tiago Barros, C. Takahashi, Thiago Cardoso, João Alexandre Neto, Ramon Ribeiro
With the rising popularity of IoT, several platforms have been proposed for supporting the development of IoT applications. KNoT and FIWARE are examples of open-source platforms with a complementary purpose. While KNoT is a gateway-based middleware to embed connectivity into devices and route messages between them and applications, FIWARE provides a rich ecosystem with standardized APIs for developing IoT applications. Aiming at combining the KNoT capability of integrating a plethora of devices with the high-level abstractions provided by the FIWARE platform, this paper presents the KNoT-FI environment. It integrates KNoT and FIWARE towards easing the development of IoT applications and seamlessly using capabilities of devices with or without native Internet connection through the FIWARE advanced interfaces. This paper also presents a validation of KNoT-FI in the development of a real-world application that automatically manages lighting, temperature, and ambient sound in smart buildings.
随着物联网的日益普及,人们提出了几种支持物联网应用开发的平台。KNoT和FIWARE是具有互补目的的开源平台的例子。KNoT是一个基于网关的中间件,用于将连接嵌入到设备中,并在设备和应用程序之间路由消息,而FIWARE则提供了一个丰富的生态系统,其中包含用于开发物联网应用程序的标准化api。为了将KNoT集成大量设备的能力与FIWARE平台提供的高级抽象相结合,本文提出了KNoT- fi环境。它集成了KNoT和FIWARE,以简化物联网应用程序的开发,并通过FIWARE高级接口无缝地使用具有或不具有本地互联网连接的设备的功能。本文还介绍了在智能建筑中自动管理照明、温度和环境声音的实际应用开发中对KNoT-FI的验证。
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引用次数: 5
Expect the unexpected: Towards a middleware for policy adaptation in IoT platforms 期待意外:在物联网平台中实现策略适应的中间件
D. Jonckers, B. Lagaisse, W. Joosen
Internet of Things platforms are used increasingly to connect devices, applications, and users. Internal and external events, such as updates and calamities, may alter the policies that are actively enforced to meet quality and functional requirements. While many of the events resulting in policy change can be anticipated, exceptional situations such as a terrorist attack urge the need for rapid dynamic installation and activation of response policies. In this paper, we classify events based on expectedness of time of occurrence and of response measures. Furthermore, we examine the requirements of a policy system that enforces qualities and behaviour in an IoT platform based on adaptive policies for expected and unexpected events. We evaluate the impact of these expectedness levels on a hierarchical conceptual policy system model.
物联网平台越来越多地用于连接设备、应用程序和用户。内部和外部事件,例如更新和灾难,可能会改变为满足质量和功能需求而积极执行的策略。虽然可以预见许多导致政策变化的事件,但恐怖袭击等特殊情况迫切需要快速动态安装和激活响应策略。在本文中,我们根据事件发生时间和响应措施的预期对事件进行分类。此外,我们还研究了策略系统的要求,该系统基于预期和意外事件的自适应策略,在物联网平台中强制执行质量和行为。我们评估了这些期望水平对分层概念政策系统模型的影响。
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引用次数: 0
Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things 第五届物联网中间件与应用研讨会论文集
T. Batista, Stéphane Delbruel, David Bermbach, D. Eyers, D. Hughes, C. Taconet, Erik Wittern
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引用次数: 0
期刊
Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things
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