• Title/Summary/Keyword: 라운드 보안 분야

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A Study on AES Extension for Large-Scale Data (대형 자료를 위한 AES 확장에 관한 연구)

  • Oh, Ju-Young;Kouh, Hoon-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.6
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    • pp.63-68
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    • 2009
  • In the whole information technology area, the protection of information from hacking or tapping becomes a very serious issue. Therefore, the more effective, convenient and secure methods are required to make the safe operation. Encryption algorithms are known to be computationally intensive. They consume a significant amount of computing resources such as CPU time and memory. In this paper we propose the scalable encryption scheme with four criteria, the compression of plaintext, variable size of block, selectable round and software optimization. We have tested our scheme by c++. Experimental results show that our scheme achieves the faster execution speed of encryption/decryption.

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Error Recovery Schemes with IPv6 Header Compression (IPv6 헤더 압축에서의 에러 복구방안)

  • Ha Joon-Soo;Choi Hyun-Jun;Seo Young-Ho;Kim Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.7
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    • pp.1237-1245
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    • 2006
  • This paper presented a hardware implementation of ARIA, which is a Korean standard l28-bit block cryptography algorithm. In this work, ARIA was designed technology-independently for application such as ASIC or core-based designs. ARIA algorithm was fitted in FPGA without additional components of hardware or software. It was confirmed that the rate of resource usage is about 19% in Altera EPXAl0F1020CI and the resulting design operates stably in a clock frequency of 36.35MHz, whose encryption/decryption rate was 310.3Mbps. Consequently, the proposed hardware implementation of ARIA is expected to have a lot of application fields which need high speed process such as electronic commerce, mobile communication, network security and the fields requiring lots of data storing where many users need processing large amount of data simultaneously.