• Title/Summary/Keyword: Asynchronous cellular automata

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ACA Based Image Steganography

  • Sarkar, Anindita;Nag, Amitava;Biswas, Sushanta;Sarkar, Partha Pratim
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.5
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    • pp.266-276
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    • 2013
  • LSB-based steganography is a simple and well known information hiding technique. In most LSB based techniques, a secret message is embedded into a specific position of LSB in the cover pixels. On the other hand, the main threat of LSB-based steganography is steganalysis. This paper proposes an asynchronous-cellular-automata(ACA)-based steganographic method, where secret bits are embedded into the selected position inside the cover pixel by ACA rule 51 and a secret key. As a result, it is very difficult for malicious users to retrieve a secret message from a cover image without knowing the secret key, even if the extraction algorithm is known. In addition, another layer of security is provided by almost random (rule-based) selection of a cover pixel for embedding using ACA and a different secret key. Finally, the experimental results show that the proposed method can be secured against the well-known steganalysis RS-attack.

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Algorithm for Generating Traffic Distributions in ATM Networks using 2-D LHCA

  • Cho, Sung-Jin;Kim, Seok-Tae;Kim, Jae-Gyeom;Kim, Han-Doo;Park, Un-Sook
    • Journal of Korea Multimedia Society
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    • v.2 no.2
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    • pp.176-183
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    • 1999
  • Using Asynchronous Transfer Mode(ATM) which is a high-bandwidth, low-delay, cell switching and multiplexing technology, Broadband-Integrated Services Digital Network (B-ISDN) can support communication services of all kinds. To evaluate the performance of ATM networks, traffic source models to meet the requirements are demanded. We can obtain random traffic distribution for ATM networks by using the Cellular Automata (CA) which have effective random pattern generation capability. In this paper we propose an algorithm using 2-D LHCA to generate more effective random patterns with good random characteristics. And we show that the randomness by 2-D LHCA is better than that of the randomness by 1-D LHCA.

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