Embedded virtualization for the design of secure IoT applications

Moratelli, Carlos Roberto; Johann, Sérgio F.; Neves, Marcelo Veiga; Hessel, Fabiano

doi:10.1145/2990299.2990301

Cited by 19 publications

(14 citation statements)

References 14 publications

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“…Edge computing is about processing data streams at least partially on the spot (e.g., directly on DES) in a resource‐saving way. It runs specific applications in a fixed logic location and is strongly based on virtualization 3,7‐10,13‐19 . For a long time, the research community believed that hypervisor‐based virtualization was an overkill approach for DES due to its inherent overhead 7,8,13,15 .…”

Section: Virtualization On Desmentioning

confidence: 99%

A lightweight virtualization model to enable edge computing in deeply embedded systems

et al. 2021

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Edge computing paradigm enables moving Internet of Things (IoT) applications from the Cloud to the edge of the network. Modern software engineering approaches are adhering to microservices to enable the deployment of such applications on edge devices. Microservices consist of the disaggregation of an application into smaller pieces that operate independently. Recent works have explored microservices packaged into containers and advocate that containers result in a reduced footprint and avoid the unwanted overhead caused by traditional virtualization. However, containers cannot be used in many deeply embedded systems (DES) due to an underlying operating system's (OSs) requirement. DES are edge devices with minimal resources regarding storage, memory, and processing power. Thus, they cannot afford large and sophisticated OSs. This article presents the Hellfire hypervisor, a lightweight virtualization implementation that enables separation and improves security in IoT applications on DES. Our proposal simplifies the traditional hypervisor approach and reaches devices where the existing techniques fail. The results show that the proposed model has a small footprint of 23 KB while keeping a low average virtualization overhead of 0.62% for multiple virtual machines execution.

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Section: Virtualization On Desmentioning

confidence: 99%

A lightweight virtualization model to enable edge computing in deeply embedded systems

et al. 2021

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“…The framework summarizes the heterogeneity of a large number of different devices or objects while increasing reliability and making it easier to consider the views of different users. Integrated virtualization has become an effective way to reduce costs, improve software quality and reduce development time [21,22].…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

2019

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An internet of things (IoT) platform is a multi-layer technology that enables automation of connected devices within IoT. IoT platforms serve as a middle-ware solution and act as supporting software that is able to connect different hardware devices, access points, and networks to other parts of the value chain. Virtual objects have become a vital component in every IoT platform. Virtual objects are the digital representation of a physical entity. In this paper, we design and implement a cloud-centric IoT platform that serves a purpose for registration and initialization of virtual objects so that technology tinkerers can consume them via the IoT marketplace and integrate them to build IoT applications. The proposed IoT platform differs from existing IoT platforms in the sense that they provide hardware and software services on the same platform that users can plug and play. The proposed IoT platform is separate from the IoT marketplace where users can consume virtual objects to build IoT applications. Experiments are conducted for IoT platform and interworking IoT marketplace based on virtual objects in CoT. The proposed IoT platform provides a user-friendly interface and is secure and reliable. An IoT testbed is developed and a case study is performed for a domestic environment to reuse virtual objects on the IoT marketplace. It also provides the discovery and sharing of virtual objects. IoT devices can be monitored and controlled via virtual objects. We have conducted a comparative analysis of the proposed IoT platform with FIWARE. Results conclude that the proposed system performs marginally better than FIWARE.

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“…Virtualization technology is mainly used in embedded devices to run normal and real-time operating systems (RTOSs) concurrently [17][18][19][20]. The difference between real-time operating systems and normal operating systems is that in a real-time operating system, the response time of instruction execution demands a guaranteed throughput rather than a high throughput [21] as required in a normal operating system.…”

Section: Virtualization On Embedded Devicesmentioning

confidence: 99%

“…A trusted computing base/secure execution environment is considered to be a major security requirement of a virtualized IoT infrastructure [20,[24][25][26]. Virtual machine isolation at different hardware levels (e.g., processor, memory, and networking) is essential for achieving a trusted computing base [27].…”

Section: Virtualization On Embedded Devicesmentioning

confidence: 99%

Secure and Dynamic Memory Management Architecture for Virtualization Technologies in IoT Devices

Jithin

Chandran

2018

Future Internet

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The introduction of the internet in embedded devices led to a new era of technology-the Internet of Things (IoT) era. The IoT technology-enabled device market is growing faster by the day, due to its complete acceptance in diverse areas such as domicile systems, the automobile industry, and beyond. The introduction of internet connectivity in objects that are frequently used in daily life raises the question of security-how secure is the information and the infrastructure handled by these devices when they are connected to the internet? Security enhancements through standard cryptographic techniques are not suitable due to the power and performance constraints of IoT devices. The introduction of virtualization technology into IoT devices is a recent development, meant for fulfilling security and performance needs. However, virtualization augments the vulnerability present in IoT devices, due to the addition of one more software layer-namely, the hypervisor, which enables the sharing of resources among different users. This article proposes the adaptation of ASMI (Architectural Support for Memory Isolation-a general architecture available in the literature for the improvement of the performance and security of virtualization technology) on the popular MIPS (Microprocessor without Interlocked Pipeline Stages) embedded virtualization platform, which could be adopted in embedded virtualization architectures for IoT devices. The article illustrates the performance enhancement achieved by the proposed architecture with the existing architectures.

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Embedded virtualization for the design of secure IoT applications

Cited by 19 publications

References 14 publications

A lightweight virtualization model to enable edge computing in deeply embedded systems

A lightweight virtualization model to enable edge computing in deeply embedded systems

Design and Implementation of an Interworking IoT Platform and Marketplace in Cloud of Things

Secure and Dynamic Memory Management Architecture for Virtualization Technologies in IoT Devices

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