Abstract
Recently, Artificial Intelligence (AI) has been applied to the Internet of Things (IoT) as well as Industrial IoT 4.0 (IIoT). This has improved the autonomous behavior of smart things in terms of making independent and smart decisions. However, AI techniques are the target of many attacks like the poisoning of training data and the evasion attack. In this context, blockchain can be joined to AI methods to protect their execution. In this paper, we propose SmarterChain to safely detect cyberthreats in IoT. First, we train and generate machine learning models for cyberthreats detection. Next, we protect these models by embedding them on the blockchain. Fi- nally, the models are used by intelligent devices anywhere to facilitate safe decision-making regarding cyberthreats. In addition to identifying the type of attack, our proposed solution outperforms previous detection methods, using the same dataset, in terms of safety ensured by smart contracts, with low overhead due to deployment and runtime.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
