使用基于上下文的自然语言生成来增强INORMALS

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Soni Yora, A. Barmawi
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引用次数: 0

摘要

Wibowo提出的无噪声隐写方法可以在提供的封面文本中嵌入最多6个字符,但超过59%的印尼语单词的长度超过6个字符,因此Wibowo的方法还有改进的空间。本文提出了一种改进Wibowo方法的方法,通过修改移位码和使用基于上下文的语言生成。基于300条测试消息,99%的超过6个字符的消息可以通过该方法嵌入,而使用Wibowo的方法,这一比例仅为34%。Wibowo的方法只有在移位码数少于3个的情况下才能嵌入6个以上字符,而本文提出的方法即使移位码数超过3个也可以嵌入6个以上字符。此外,通过引入猜测概率小于1的私钥(Wibowo的方法中的概率为1),提高了表示代码位数的安全性。使用本文方法生成的封面句的自然度保持在99%左右,使用Wibowo方法生成的封面句的自然度为98.61%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strengthening INORMALS Using Context-based Natural Language Generation
The noiseless steganography method that has been proposed by Wibowo can embed up to six characters in the provided cover text, but more than 59% of Indonesian words have a length of more than six characters, so there is room to improve Wibowo’s method. This paper proposes an improvement of Wibowo’s method by modifying the shifting codes and using context-based language generation. Based on 300 test messages, 99% of messages with more than six characters could be embedded by the proposed method, while using Wibowo’s method this was only 34%. Wibowo’s method can embed more than six characters only if the number of shifting codes is less than three, while the proposed method can embed more than six characters even if there are more than three shifting codes. Furthermore, the security for representing the number of code digits is increased by introducing a private key with the probability of guessing less than 1, while in Wibowo’s method this is 1. The naturalness of the cover sentences generated by the proposed method was maintained, which was about 99% when using the proposed method, while it was 98.61% when using Wibowo’s method.
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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