LSBs steganography based on R-indicator
العناوين الأخرى
الإخفاء في البتات الأقل أهمية اعتمادا على المؤشر في القناة الحمراء
مقدم أطروحة جامعية
Abu Musa, Shirin Muhammad Jumah
مشرف أطروحة جامعية
الجامعة
الجامعة الإسلامية
الكلية
كلية تكنولوجيا المعلومات
القسم الأكاديمي
تكنولوجيا المعلومات
دولة الجامعة
فلسطين (قطاع غزة)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2017
الملخص الإنجليزي
Steganography is the art and science of hiding secret data inside other data called the cover data.
This makes it hard to detect the existence of the secret data by third parties.
There are different models of carrier that can be used as stego cover, such as text, image, audio and video to hide information.
The most common way is the image due to the reluctance on the internet.
And thus it can guarantee a high degree of security.
There are a lot of algorithms and techniques to hide data.
Every algorithm has its own mechanism which has strengths and weaknesses points.
Some techniques are limited with hiding inside specific type of data, and some can be used with multiple types of carriers.
This study introduces a new algorithm called ST_R-indicator steganography algorithm for hiding data based on the Least Significant Bit (LSB), where the algorithm embeds inside these LSB(s).
The researcher proposed a new algorithm that used benchmark RGB images (with png, bmp extention) as a cover media where each pixel is represented by three bytes (24 bit) red, green, and blue in pixel.
The process of hiding depends on pixel indicator technique which is called R-indicator.
They use the same principle of the Least Significant Bit (LSB), where the secret message is hidden at the least significant bits of the pixels, with more randomization in chosen of the number of bits used and the colour channels that are used.
In addition, they may be embedded into one or two bits at the same time.
This randomization makes the method robust against steganalysis and this is the advantage of this algorithm over normal LSB algorithm and also increases the capacity of information.
After completing implementation of the proposed algorithm, the researcher evaluated the proposed algorithm to measure its efficiency in aspects of imperceptibility, capacity, robust and ranomaization.
Many tools were used such as PSNR, MSE, StegExpose and histogram.
Experimental results showed an increasement capacity of information, increasing robust and better image quality.
Its notability was compared to several existing methods.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
عدد الصفحات
73
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Theory background.
Chapter Three : Related works.
Chapter Four : Proposed Algorithm" ST-R-indictor".
Chapter Five : Experimental result and discussion.
Chapter Six : Conclusion and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Abu Musa, Shirin Muhammad Jumah. (2017). LSBs steganography based on R-indicator. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-905911
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Abu Musa, Shirin Muhammad Jumah. LSBs steganography based on R-indicator. (Master's theses Theses and Dissertations Master). Islamic University. (2017).
https://search.emarefa.net/detail/BIM-905911
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Abu Musa, Shirin Muhammad Jumah. (2017). LSBs steganography based on R-indicator. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-905911
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-905911
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر