![]() We propose a lightweight implementation of proof-of-work (PoW) mining with reconfigurable hardware primitives. In this article, we address the key bottleneck to enable blockchain in resource-constrained IoT devices. #Linear feedback shift register full#Unfortunately, these decentralized protocols demand computing resources and power far beyond the reach of resource-constrained IoT devices, preventing the full adoption of distributed consensus platform in the IoT setting. Decentralized technology has recently emerged as a powerful primitive in building distributed applications to facilitate secure transactions between mutually distrustful parties in a trustworthy manner. ![]() Yet interconnecting myriad heterogeneous IoT devices across various application domains remain a security challenge. In the era of ubiquitous intelligence, the Internet of Things (IoT) holds the promise as a breakthrough technology to enable diverse applications that benefit societal problems. Therefore, all kinds of intrusion detection systems in the cloud need to be built with high accuracy and low false alarms, so they are able to detect and prevent any kinds of intrusions with high accuracy. There are some limitations to traditional security measures when it comes to fully shielding networks and devices from increasingly advanced attacks. Despite the ability of the server to process vast amounts of data in comparison to a client's processing capabilities and efficiency, there are many security risks to the cloud, both from outside and within, which may exploit security issues to cause harm. Cloud computing has manifested as a viable framework for facilitating the use of applications, data, and infrastructure, mainly regarding workstations, network connections, and storage. ![]() By using cloud computing, its clients can access flexible, distributed computing via internet. Cloud computing has emerged as one of the most noteworthy innovations. In recent years, advanced computing innovations have resulted in the adoption of new organizational and operational strategies. ![]()
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