Scholarlink

<p>Steganographic methods are concealing the existence of sensitive data within cover medium in order to prevent breaching attacks risk crises. Lately, Arabic text steganography has become increasingly popular as process of hiding private data within redundant (or semi-redundant) Arabic text coding possible locations for security utilization. This research modeling uses natural presence of diacritics as extraordinary surplus feature of Arabic language for higher performance security fog computing purposes. The study is hiding secrecy via adjusted diacritical Arabic text stego procedures. The investigation integrated three diacritics as novel process proposing different new variation models in a smart security routine. The exploration models have been software compared together in relation to state-of-art security procedures aiming to choose the best prevention approaches rating attractive results. The work models showed fascinating trade-off analysis contradicting depending on the data used remarking capacity and security performance differences noting the first proposal model (using Fatha, Tanween Dham, and Sukkon) of the best action above 70% occasions followed by the third model (utilizing Shaddah, Tanween Kasr, and Fatha) of around 20% and then the second model (employing Dhammah, Kasrah, and Tanween Fath) rating near 10%. Although the unexpected research remarks in Arabic stego procedures are still in early stages to be reliable, this work focus for fog computing is opening the door for further script hiding prevention innovating modeling contributions to come.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Modeling e-script steganography for higher performance fog computing

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月12日

查看全文
  • Adnan Gutub,
  • Shatha Alazwari,
  • Munira Almalki,
  • Khulood Aljuaid,
  • Wajanat AlQurashi,
  • Zuhur Bazuhayr

摘要

Steganographic methods are concealing the existence of sensitive data within cover medium in order to prevent breaching attacks risk crises. Lately, Arabic text steganography has become increasingly popular as process of hiding private data within redundant (or semi-redundant) Arabic text coding possible locations for security utilization. This research modeling uses natural presence of diacritics as extraordinary surplus feature of Arabic language for higher performance security fog computing purposes. The study is hiding secrecy via adjusted diacritical Arabic text stego procedures. The investigation integrated three diacritics as novel process proposing different new variation models in a smart security routine. The exploration models have been software compared together in relation to state-of-art security procedures aiming to choose the best prevention approaches rating attractive results. The work models showed fascinating trade-off analysis contradicting depending on the data used remarking capacity and security performance differences noting the first proposal model (using Fatha, Tanween Dham, and Sukkon) of the best action above 70% occasions followed by the third model (utilizing Shaddah, Tanween Kasr, and Fatha) of around 20% and then the second model (employing Dhammah, Kasrah, and Tanween Fath) rating near 10%. Although the unexpected research remarks in Arabic stego procedures are still in early stages to be reliable, this work focus for fog computing is opening the door for further script hiding prevention innovating modeling contributions to come.