• Convergence Security Journal
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• v.18 no.4
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• pp.3-10
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• 2018

Each online user should perform a separate registration and manage his ID and password for each online commerce or SNS service. Since a common secret is shared between the user and the SNS server, the server compromise induces the user privacy breach and financial loss. In this paper, it is considered that the user's authentication material is shared between multiple SNS servers for user authentication. A blockchain service architecture based on Hyperledger Fabric is proposed for each user to utilize an identical ID and OTP using the enhanced hash-chain-based OTP.

• Journal of Industrial Convergence
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• v.20 no.3
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• pp.33-40
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• 2022

Recently, IoT-linked services have been used in various environments, and IoT and artificial intelligence technologies are being fused. However, since technologies that process IoT data stably are not fully supported, research is needed for this. In this paper, we propose a processing technique that can optimize IoT data after generating embedded vectors based on machine learning for IoT data. In the proposed technique, for processing efficiency, embedded vectorization is performed based on QR such as index of IoT data, collection location (binary values of X and Y axis coordinates), group index, type, and type. In addition, data generated by various IoT devices are integrated and managed so that load balancing can be performed in the IoT data collection process to asymmetrically link IoT data. The proposed technique processes IoT data to be orthogonalized based on hash so that IoT data can be asymmetrically grouped. In addition, interference between IoT data may be minimized because it is periodically generated and grouped according to IoT data types and characteristics. Future research plans to compare and evaluate proposed techniques in various environments that provide IoT services.