Autonomous and malware-proof blockchain-based firmware update platform with efficient batch verification for Internet of Things devices

Hu, Jen Wei; Yeh, Lo Yao; Liao, Shih Wei; Yang, Chu Sing

doi:10.1016/j.cose.2019.06.008

Cited by 40 publications

(22 citation statements)

References 14 publications

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“…The advantage of employing the batch verification principle is that it can significantly reduce the computation load and time required for IoT devices by performing multiple digital signatures. As a result, this concept is advantageous in an IoT setting where nodes have limited computing power and run in real-time [17,18]. Numerous batch verification methods have been proposed for several cryptographic protocols, including the digital signature algorithm (DSA) [19] and the rivest-shamir-adleman (RSA) [20].…”

Section: Preliminaries 211 Batch Verificationmentioning

confidence: 99%

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

Hameed¹,

Garg²,

Amin³

et al. 2021

Preprint

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The rapidly expanding nature of the Internet of Things (IoT) networks is beginning to attract interest across a range of applications, including smart homes, smart transportation, smart health, and industrial contexts such as smart robotics. This cutting-edge technology enables individuals to track and control their integrated environment in real-time and remotely via a thousand IoT devices comprised of sensors and actuators that actively participate in sensing, processing, storing, and sharing information. Nonetheless, IoT devices are frequently deployed in hostile environments, wherein adversaries attempt to capture and breach them in order to seize control of the entire network. One such example of potentially malicious behaviour is the cloning of IoT devices, in which an attacker can physically capture the devices, obtain some sensitive information, duplicate the devices, and intelligently deploy them in desired locations to conduct various insider attacks. A device cloning attack on IoT networks is a significant security concern since it allows for selective forwarding, sink-hole, black-hole, and warm-hole attacks. To address this issue, this paper provides an efficient scheme for detecting clone node attack on IoT networks that makes use of semantic information about IoT devices known as context information sensed from the deployed environment to locate them securely. We design the location proof mechanism by combining location proofs and batch verification of the extended elliptic curve digital signature technique (ECDSA*) to accelerate the verification process at selected trusted nodes. We demonstrate the security of our proposed scheme and its resilience to secure clone node attack detection by conducting a comprehensive security analysis of our proposed scheme. The performance analysis and experimental results compared with existing studies suggest that our proposed scheme provides a high degree of detection accuracy with minimal detection time and significantly reduces the computation,

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Section: Preliminaries 211 Batch Verificationmentioning

confidence: 99%

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

Hameed¹,

Garg²,

Amin³

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…This situation has led to the investigation of autonomous and decentralized approaches to address the deployment of the new code. For example, Hu et al [29] proposed a new approach based on blockchain to autonomously and securely update the firmware of IoT systems.…”

Section: Generalitymentioning

confidence: 99%

Service Interface Translation. An Interoperability Approach

Paniagua

2021

Applied Sciences

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Interoperability plays an important role in Industry 4.0. Interoperability in the engineering process allows the automation of the engineering phase, reducing the human effort involved and the associated engineering costs. It improves the quality of the engineering process and its overall efficiency. Nevertheless, the diversity of available standards, devices, and systems leads to great levels of heterogeneity and makes it difficult to achieve the aforementioned interoperability. As the lack of interoperability increases, a generic solution to the problem is increasingly demanded by the industry. This paper approaches the interoperability problem from a service interface perspective. A novel approach is presented to address service interface heterogeneity. The proposed solution is based on service interface translation, which is achieved via the generation of service interfaces. A new system, the consumer interface generator system, has been designed and implemented to generate interface instances to solve the interoperability mismatches between service consumers and providers at runtime. In this paper, the autonomous consumer interface generation process, the system architecture, and the generated interface instance are described. The proposed approach has been validated through practical experimentation, including the implementation of a system prototype and a testbed.

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“…Software and firmware deployments and updates are essential for any IoT solution, but the overview of existing solutions described above denotes an obvious lack of mature, commercially usable platforms. This is also because many producers have implemented custom OTA updates systems designed to integrate with their technologies [40,41]. However, many of these systems are poorly researched and implemented, exposing the IoT products to security risks and important failures.…”

Section: Commercial Ota Update Solutionsmentioning

confidence: 99%

A Model for the Remote Deployment, Update, and Safe Recovery for Commercial Sensor-Based IoT Systems

Radovici

Culic

Rosner

et al. 2020

Sensors

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Internet of Things (IoT) systems deployments are becoming both ubiquitous and business critical in numerous business verticals, both for process automation and data-driven decision-making based on distributed sensors networks. Beneath the simplicity offered by these solutions, we usually find complex, multi-layer architectures—from hardware sensors up to data analytics systems. These rely heavily on software running on the on-location gateway devices designed to bridge the communication between the sensors and the cloud. This will generally require updates and improvements—raising deployment and maintenance challenges. Especially for large scale commercial solutions, a secure and fail-safe updating system becomes crucial for a successful IoT deployment. This paper explores the specific challenges for infrastructures dedicated to remote application deployment and management, addresses the management challenges related to IoT sensors systems, and proposes a mathematical model and a methodology for tackling this. To test the model’s efficiency, we implemented it as a software infrastructure system for complete commercial IoT products. As proof, we present the deployment of 100 smart soda dispensing machines in three locations. Each machine relies on sensors monitoring its status and on gateways controlling its behaviour, each receiving 133 different remote software updates through our solution. In addition, 80% of the machines ran non-interrupted for 250 days, with 20% failing due to external factors; out of the 80%, 30% experienced temporary update failures due to reduced hardware capabilities and the system successfully performed automatic rollback of the system, thus recovering in 100% of the temporary failures

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Autonomous and malware-proof blockchain-based firmware update platform with efficient batch verification for Internet of Things devices

Cited by 40 publications

References 14 publications

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

A Context-Aware Information-Based Clone Node Attack Detection Scheme in Internet of Things

Service Interface Translation. An Interoperability Approach

A Model for the Remote Deployment, Update, and Safe Recovery for Commercial Sensor-Based IoT Systems

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