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اخفاء معلومات في ملف صوتي باستخدام تقنيات التشفير الانسيابي والمواقع العشوائية

اسم المؤلف: اسماء عزيز جابر
اسم المشرف: حميد عبد الكريم يونس
الموضوع العام: علوم الحاسبات
السنة: 2017
الموضوع الدقيق: علوم الحاسبات
الدرجة: ماجستير
الجامعة: جامعة البصرة - كلية العلوم
اللغة: العربية
مكان الجامعة: البصرة
الصفحات الاولى:
المستخلص: The rapid development and tremendous computer and communication technologies and the proliferation of global networks, has led to the emergence of many techniques to transfer confidential information including encryption (Cryptography), and as a result of piracy And penetrating these techniques need arose for techniques and methods more sophisticated and difficult to transfer confidential information securely. Because of the increase in the number of attacks recorded during the exchange of electronic information between the source and the recipient may need to use a more powerful way to secure data transfer, encryption methods are combined And hide the information together for the purpose of setting up a mechanism to improve confidentiality and because these methods shared goals and common services in protecting the confidentiality, integrity and availability of information from unauthorized access and thus check mechanism High security integration to preserve data confidentiality.The research aims to use the method to hide secret information (picture or sound) into audio files (audio file) (wav) as cover in such a way as to ensure that information is not piracy, secret message encryption Sleek encryption before concealment by making the size of the stego - audio is equal to the size of the original file.As the audio file is the output of a process of hiddin similar to the original file and for the human ear to feel the change. By segmenting the original soundtrack cover frames (frames) and apply the random function to locate hidden after the colored image layers in case confidential information picture or sound to hide the hash to Frameworks and then applying the function for selecting locations for concealment and then apply the least significant bit technology (Siginfcant Least Bit) for concealment.In the case of the recovery process is contrary, embedded audio file fragmentation occurs (stego - audio) and apply the random function for selecting locations for concealment and decrypt the message.Use a key in a hash process sound represents the size of the picture you want to hide, and it represents the number of frames (frames) and serve as a key to encrypt the original audio as we use an algorithm to generate a sequence of key Homologous between the sender and recipient to Sleek encryption to increase security. The recovery process success ratio for the image dB 99.0, audio retrieval process was well proportioned. , We used Image metrics (PSNR), (SNR) and the inclusion ratio between the confidential letter and sound and cover (RMSE) between audio - stego and original sound. And high results were obtained about (85 - 95 )when recovery without any mention on the file (Stego_audio).

عنقدة النصوص العربية باستعمال تحليل الاحالة المشتركة == Arabic Text Clustering Using Coreferance Resolution

اسم المؤلف: فراس حمودي نعمة
اسم المشرف: سلمى عبد الباقي محمود
الموضوع العام: علوم الحاسبات
السنة: 2017
الموضوع الدقيق: علوم الحاسبات
الدرجة: ماجستير
الجامعة: جامعة البصرة - كلية العلوم
اللغة: العربية
مكان الجامعة: البصرة
الصفحات الاولى:
المستخلص: Clustering texts organizes texts in subsets coherent and internally consistent, and different with each other. These subsets called clusters. The documents combines according to the similarity measures, that rely on features extracted of the documents. This technique applies in various fields such as web mining, search engines, and information retrieval. Clustering documents gives information retrieval, automatic extraction, and representation efficiently without user intervention for increasing growth of the new documents.This study aims to improve the accuracy and efficiency of arabic texts clustering. To achieve the aim of this study two approaches are used. The first approach uses the standard technique in Arabic texts clustering. The second approach is proposal to reduce features of the texts.The first approach is applied (K - medoids, K - means) and similarity measures (Euclidean, cosine). The problem of this approach is that huge of the features, which influence the efficiency and coherence of the clusters.The huge features for the documents adds challenge and lead to high dimension so coreference resolution technique approach is applied. This technique extracts main subjects for each document to improve arabic documents clustering in order to achieve the goal of our study. The system implements using a corpus contains on 200 sport news Arabic.Finally, evaluation measures are used including (Precision, Recall and F - measure) to evaluate our system, and we obtain acceptable results.First method exceed K - medoids and using similarity measures (Euclidean, Cosine) where highest values (0.60, 0.78, 0.67) of the method of k - means. In addition, the results of the proposed second way exceeds method of K - medoids and using similarity measures (Euclidean, Cosine) with coreference resolution, where the measures values (0.80, 0.83, 0.81).
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