透過您的圖書館登入
IP:3.19.76.105

摘要


In this paper, neural network based cryptology is performed. The system consists of two stages. In the first stage, neural network-based pseudo-random numbers (NPRNGs) are generated and the results are tested for randomness using National Institute of Standard Technology (NIST) randomness tests. In the second stage, a neural network-based cryptosystem is designed using NPRNGs. In this cryptosystem, data, which is encrypted by non-linear techniques, is subject to decryption attempts by means of two identical artificial neural networks (ANNs). With the first neural network, non-linear encryption is modeled using relation-building functionality. The encrypted data is decrypted with the second neural network using decision-making functionality.

被引用紀錄


曾仁松(2016)。臺灣高速公路網之綠色與安全服務水準評估指標〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201600185
陳哲豪(2014)。運用倒傳遞類神經網路於CMOS影像感測器生產機台異常分析〔碩士論文,國立清華大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0016-2912201413522593

延伸閱讀