ImageNet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever et al.
1.9k
Citations
0
Influential Citations
Future Generation Computer Systems
Venue
2018
Year
In the Internet of Things (IoT) vision, conventional devices become smart and autonomous. This vision is turning into a reality thanks to advances in technology, but there are still challenges to address, particularly in the security domain e.g., data reliability. Taking into account the predicted evolution of the IoT in the coming years, it is necessary to provide confidence in this huge incoming information source. Blockchain has emerged as a key technology that will transform the way in which we share information. Building trust in distributed environments without the need for authorities is a technological advance that has the potential to change many industries, the IoT among them. Disruptive technologies such as big data and cloud computing have been leveraged by IoT to overcome its limitations since its conception, and we think blockchain will be one of the next ones. This paper focuses on this relationship, investigates challenges in blockchain IoT applications, and surveys the most relevant work in order to analyze how blockchain could potentially improve the IoT.
This paper addresses a critical intersection of two transformative technologies: blockchain and the Internet of Things (IoT). As IoT devices proliferate, ensuring data reliability and security becomes paramount. The paper argues that blockchain, with its decentralized trust model, can address these challenges without relying on central authorities. This is significant because it offers a potential solution to one of the most pressing issues in IoT: the vulnerability of centralized architectures to attacks and single points of failure.
The paper is also important because it provides a structured analysis of the challenges and opportunities in blockchain-IoT integration. By surveying existing work, it helps researchers and practitioners understand the current landscape and identify gaps. This is particularly valuable given the rapid evolution of both fields and the need for a comprehensive overview to guide future research and development.
The paper's main technical contributions include:
As a survey paper, it does not present quantitative results or experimental comparisons. Instead, its 'results' are qualitative insights derived from analyzing existing literature. It synthesizes findings from various studies to conclude that blockchain can potentially improve IoT security and data reliability, but significant challenges remain, particularly in scalability and resource constraints of IoT devices.
The paper has had a significant impact on the field, as evidenced by its high citation count (1892). It has become a foundational reference for researchers exploring blockchain-IoT integration. Its analysis of challenges and opportunities has guided subsequent work in areas such as lightweight blockchain protocols for IoT, decentralized identity management, and secure data sharing. By highlighting the potential of blockchain to transform IoT, the paper has contributed to the broader discourse on decentralized technologies and their application to real-world systems.
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