Securing IoTs in distributed blockchain: Analysis, requirements and open issues

Moin, Sana; Karim, Ahmad; Safdar, Zanab; Safdar, Kalsoom; Ahmed, Ejaz; Imran, Muhammad

doi:10.1016/j.future.2019.05.023

Cited by 166 publications

(111 citation statements)

References 42 publications

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“…IoT enables sensors and devices in a smart environment to communicate with each other and enables information sharing across platforms. Recently IoT has been widely adopted into building intelligent systems such as, smart city, smart home, smart office, smart retail outlets, smart agriculture, smart water management, smart transportation, smart healthcare, and smart energy [15,55,56].…”

Section: Iot Securitymentioning

confidence: 99%

Deep learning and big data technologies for IoT security

Amanullah

Habeeb

Nasaruddin

et al. 2020

Computer Communications

Self Cite

254

119

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Technology has become inevitable in human life, especially the growth of Internet of Things (IoT), which enables communication and interaction with various devices. However, IoT has been proven to be vulnerable to security breaches. Therefore, it is necessary to develop fool proof solutions by creating new technologies or combining existing technologies to address the security issues. Deep learning, a branch of machine learning has shown promising results in previous studies for detection of security breaches. Additionally, IoT devices generate large volumes, variety, and veracity of data. Thus, when big data technologies are incorporated, higher performance and better data handling can be achieved. Hence, we have conducted a comprehensive survey on state-of-the-art deep learning, IoT security, and big data technologies. Further, a comparative analysis and the relationship among deep learning, IoT security, and big data technologies have also been discussed. Further, we have derived a thematic taxonomy from the comparative analysis of technical studies of the three aforementioned domains. Finally, we have identified and discussed the challenges in incorporating deep learning for IoT security using big data technologies and have provided directions to future researchers on the IoT security aspects. Contents * Corresponding author.

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Section: Iot Securitymentioning

confidence: 99%

Deep learning and big data technologies for IoT security

Amanullah

Habeeb

Nasaruddin

et al. 2020

Computer Communications

Self Cite

254

119

View full text Add to dashboard Cite

show abstract

“…In [45], the author identified several security aspects in implementing blockchain in the IoT environment that are most extensive and require extreme struggle to deal with, and proposed a 5-layered state-of-the-art efficient and secure framework for blockchain-based IoT systems. This framework comprises of the fundamental IoT layers alongside the extra storage layer that focuses on the adequate data transmission in a permissioned network based on blockchain.…”

Section: B Private Blockchain Systems For Smart Homesmentioning

confidence: 99%

Investigating Smart Home Security: Is Blockchain the Answer?

et al. 2020

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Smart Home automation is increasingly gaining popularity among current applications of Internet of Things (IoT) due to the convenience and facilities it provides to the home owners. Sensors are employed within the home appliances via wireless connectivity to be accessible remotely by home owners to operate these devices. With the exponential increase of smart home IoT devices in the marketplace such as door locks, light bulbs, power switches etc, numerous security concerns are arising due to limited storage and processing power of such devices, making these devices vulnerable to several attacks. Due to this reason, security implementations in the deployment of these devices has gained popularity among researchers as a critical research area. Moreover, the adoption of traditional security schemes has failed to address the unique security concerns associated with these devices. Blockchain, a decentralised database based on cryptographic techniques, is gaining enormous attention to assure security of IoT systems. The blockchain framework within an IoT system is a fascinating substitute to the traditional centralised models, which has some significant concerns in fulfilling the demand of smart homes security. In this article, we aim to examine the security of smart homes by instigating the adoption of blockchain and exploring some of the currently proposed smart home architectures using blockchain technology. To present our findings, we describe a simple secure smart home framework based on a refined version of blockchain called Consortium blockchain. We highlight the limitations and opportunities of adopting such an architecture. We further evaluate our model and conclude with the results by designing an experimental testbed using a few household IoT devices commonly available in the marketplace.

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“…The cross border sharing of IoUT data poses the risk of malicious attacks and private information from being compromised. The current centralized architectures have proven not to be so efficient to protect data and disseminate data securely [61] among different stakeholders.…”

Section: Blockchain On the Cloud Layermentioning

confidence: 99%

A Lightweight Blockchain Based Framework for Underwater IoT

2019

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The Internet of Things (IoT) has facilitated services without human intervention for a wide range of applications, including underwater monitoring, where sensors are located at various depths, and data must be transmitted to surface base stations for storage and processing. Ensuring that data transmitted across hierarchical sensor networks are kept secure and private without high computational cost remains a challenge. In this paper, we propose a multilevel sensor monitoring architecture. Our proposal includes a layer-based architecture consisting of Fog and Cloud elements to process and store and process the Internet of Underwater Things (IoUT) data securely with customized Blockchain technology. The secure routing of IoUT data through the hierarchical topology ensures the legitimacy of data sources. A security and performance analysis was performed to show that the architecture can collect data from IoUT devices in the monitoring region efficiently and securely.

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Securing IoTs in distributed blockchain: Analysis, requirements and open issues

Cited by 166 publications

References 42 publications

Deep learning and big data technologies for IoT security

Deep learning and big data technologies for IoT security

Investigating Smart Home Security: Is Blockchain the Answer?

A Lightweight Blockchain Based Framework for Underwater IoT

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