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محاكاة اندماج اطارات الفيديو == Simulation of Fusion for Video Frames

Author name: ندى جاسم حبيب
Supervisor name: سعد طالب حسون
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:

بناء خوارزميه محسنه عاليه الاستنباط == Building improved metaheuristic algorithm

Author name: هاشم كريم عبد الرضا
Supervisor name: ليث علي عبد الرحيم
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:

كشف حيوي عن هجوم الحرمان من الخدمة الموزع بالاعتماد على اسلوب تنقيب البيانات == Dynamic DDoS Attack Detection based on Data Mining Approach

Author name: مهدي عبادي مانع مهدي
Supervisor name: وسام سمير بهية
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - College Of Science - Department Of Software
Language: English
University location: Babylon
First pages:

استرجاع الصورة من خلال محتواها باستخدام تحليل القيمة المفردة == Content Based Image Retrieval Using Singular Value Decomposition

Author name: لميس حمود السعدي
Supervisor name: نضال خضير العبادي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - College Of Science - Department Of Computer Science
Language: English
University location: Babylon
First pages:

تميز اشارة اليد للتواصل الاجتماعي بين الاخرس والاعمى == Hand Gesture Recognition for dumb and blind Social Communication

Author name: زهور مساعد ايدام
Supervisor name: شاكر كاظم علي الشريفي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

طريقة محسنة للمصادقة الحيوية متعددة الصفات == An Improved Scheme for Multi - Biometric Authentication

Author name: علي حسين جازع
Supervisor name: كاظم حسن كبان
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

دراسة مقارنة لتقنيات الكشف والتعرف على الوجه == AComparative study of face Detection and Recognition Techniques

Author name: ظافر غني حوني
Supervisor name: خلدون ابراهيم عراف
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

تحكم الزمن الحقيقي بالبيت الزجاجي الذكي باستخدام تطبيقات الاندرويد == Real Time Control of Smart Greenhouse using Android Applications

Author name: هند فاضل عباس الغالبي
Supervisor name: خلدون ابراهيم عارف
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

التحكم الذاتي في قيادة السيارة باستخدام المنطق المضبب == Auto Driving Control Using Fuzzy Logic

Author name: فاطمة عبد الكريم ساجت
Supervisor name: كاظم مهدي هاشم الموسوي | حازم باقر طاهر
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

نظام هجين محسن لضغط الصور == Improve Hybrid System for Image Compression

Author name: ميثاق حسين علي
Supervisor name: كاظم مهدي هاشم الموسوي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

تصغير مجموع العدد الوزن للنتاجات المبكرة والكلفة الكلية لوقت الاتمام الوزن في مسالة جدولة الماكنة == Minimizing the Sum of Weighted number of early jobs and Total Weighted Completion Time in Machine Scheduling Problem

Author name: حسين كامل طاهر
Supervisor name: محمد كاظم زغير الزويني
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Computer Science And Mathematics
Language: English
University location: Dhi Qar
First pages:

تقنيات تحسين الطاقة لشبكة الاستشعار اللاسلكية المستخدمة لنقل البيانات المشفرة

Author name: زينب شاكر مطر الحسيني
Supervisor name: خلدون ابراهيم عارف | حسين كامل جايل
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

تحديث خوارزمية SURF لتوليد مفتاح بالاعتماد على بصمة الاصبع

Author name: وسن مكطوف جويد الحمداني
Supervisor name: كاظم حسن الابراهيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

نظام الكشف عن علامات دليل حركة المرور على الطرق == A Detection System For Road Traffic Direction Guide Signs

Author name: شيماء هادي محمد
Supervisor name: حازم باقر طاهر | علي حسين حسن
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

تقييم استعمالات الارض الحضرية في مدينة البصرة باستخدام نظم المعلومات الجغرافية وتقنيات الذكاء الاصطناعي == Evaluation of Urban Land Use in Basra City Using Geographical Information Systems and Artificial Intelligence Techniques

Author name: لمياء صباح شهاب
Supervisor name: كريم راضي حسين | خديجة عبد الزهرة حسين
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University Of Basrah - College Of Science
Language: English
University location: Basrah
First pages:

تحديد هوية الشخص باستخدام المشية لعدة اتجاهات == Human Identification Based On Multi View Gait Recognition

Author name: بتول ناصر عزيز الخفاجي
Supervisor name: كاظم مهدي الموسوي | خلدون عارف ابراهيم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

منهجية هجينه لتمييز الوجه بالاعتماد على تحليل القيمة المفردة و مرشحات كابور == A Hybrid Approach to Human Face Recognition based on SVD and Gabor filters

Author name: سلام جبار عيدان
Supervisor name: كاظم مهدي هاشم الموسوي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer Scienc
Language: English
University location: Dhi Qar
First pages:

نموذج خارطة تحويل جامعة بغداد للاصدار السادس من بروتوكول الانترنت == A Prototype Model for Transition of Baghdad University to IPv6

Author name: ايمان حاتم خضير
Supervisor name: عماد جاسم محمد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Baghdad
Language: English
University location: Baghdad
First pages:

العنقدة اعتمادا على العقدة المتطرفة لنقل البيانات في شبكاث الاستشعار اللاسلكية == Extreme - Node Clustering for Data Transmissions in Wireless Sensor Networks

Author name: حوراء عبد الكاظم حسن
Supervisor name: سعد طالب الجبوري
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Babylon
First pages:

تصميم وتنفيذ نظام المعلومات عبر الويب لجامعة ذي قار == Design and Implementation Web Based Information System for Thi - Qar University

Author name: وفاء محمد علي
Supervisor name: كاظم حسن كبان الابراهيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language: English
University location: Dhi Qar
First pages:
Abstract: A database - driven site can be almost any kind of site, but at minimum it is a step up in technical complexity from a brochureware site. In a website which is database - driven one, many pages that are shown on it, were generated and retrieved from a database call. That is Thi - Qar University information management system provides an easy and friendly graphical tools and simple environment for maintenance the university staff and its accounting information system. It would be used by all colleges, departments and research centers in the University. This web application has been made some primary web database driven website like HTML. The core web application database was developed by PHP. Actually, PHP is a server - side language, so that a developer will be giving an access to the web server that is hosting the website, and to everything that is stored and/or runs there. Most importantly, PHP is mainly used to build a website that sends data to web browser so the pages can display information from our database engine which is MySQL and save data as well. This project uses MySQL as a relational database management system working like a back - end tool.So, the proposed system is to keep and managing the University staff details from the beginning to the end of the job life that might applied for all progress, purposes and reporting of the work, and completed staff’s personal information. Also, it will have college details such as the faculty details, staffs’ details in all aspects, and the various academic administration to the faculty managed and operated by the college. In addition, it could help us to discover all the administrative actions that occur in the college, different reports and queries can be generated regarding to the many available options related to faculty of college, accounting, documentations, and also to the whole faculty. Proposed system has the potential to provide wide range of services for the staff record management system, financial system and scientific research plan at the university. In order to assist in the design and implementation of proposed system, we present an overview, softwarearchitecture and prototype implementation of our proposed system.

تصميم وتنفيذ تطبيق لتشفير المكالمات على نظام الاندرويد == Design and Implementation Encrypted Call Application on Android System

Author name: وفاء علي عبد الحسين الركابي
Supervisor name: كاظم حسن كبان الابراهيمي
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language: English
University location: Dhi Qar
First pages:

نظام التوصية الخاص بنظام تحديد المواقع العالمي في الاجهزة النقالة == Recommendation System for Mobile (GPS)

Author name: وضاح رزوقي عبود بيــعي
Supervisor name: توفيق عبد الخالق الاسدي
General topic: Computer Science
Specific topic: Computer Science
Degree: Doctorate
University: University of Babylon - Information Technology Collage - Department Of Software
Language: English
University location: Baghdad
First pages:
Abstract: تستخدم اليوم اجهزة الهاتف النقال بكثرة مع دعمها للكثير من التطبيقات والتي بدورها تساعد مستخدميها في تنظيم حياتهم بشتى المجالات, تقدم هذه التطبيقات العديد من الاقتراحات والتوصيات للمستخدم تبعا لاحتياجاته وتفضيلاته مثل الافلام , الاخبار , واماكن الاطعمة ..... الخ . من التطبيقات المنتشرة بشكل واسع والتي تهم المستخدمين هذه الايام هي تطبيقات تقديم التوصيات الخاصة بالاماكن المهمة للمستخدم بشكل علامات مؤشرة على الخرائط الرقمية , هنالك عدة تقنيات متداخلة في هذا المجال , تعتبر نظم المعلومات الجغرافية من اهم المصادر لاستحصال البيانات اللازمة لتطبيق تقنيات التنبؤ والاقتراح عليها لمعرفة احتياجات المستخدمين.تركز هذه الاطروحة على بيانات حركة المستخدمين لمعرفة واقتراح افضل الامكان المفضلة لهم, تستكشف حركة المستخدمين من خلال نظام تحديد المواقع والملاحة العالمي (GPS) من خلال تسجيل مسارات حركة اجهزة الهاتف النقال الداعمة لهذا النظام والخاصة بكل مستخدم . يعالج النظام المقترح مسارات المستخدمين والمسجلة لفترة محددة ويبسطها لتتضمن اقل عدد ممكن من النقاط مع الاحتفاظ بالنقاط ذات الاهمية الكبيرة للمستخدمين , تمت هذه المرحلة بتطوير خوارزمية (دوكلاس بويكر) لتبسيط الخطوط وتطبيقها لهذا الغرض , الخوارزمية المقترحة تعتمد على استخدام العتبات الديناميكية.ينشئ النظام المقترح البيانات الضمنية للتغذية الراجعة من تحليل وقراءة تاريخ تحركات المستخدمين بالاستعانة بمساراتهم وبالخرائط الرقمية , بدلا عن الاعتماد على شبكات التواصل الاجتماعي او التغذية الراجعة المباشرة . تمثل مصفوفات التخمين تصرفات المستخدمين في المقترحة في الدراسة الحالية ولها بعض المحددات مثل تعدد الابعاد . تستخدم الاطروحة نسخة مطورة من خوارزمية تحليل القيم المفردة SVD لتقليل ابعاد فضاء الخصائص .تقترح الاطروحة نظاما ثلاثي الابعاد لخوارزمية تحليل القيم المفردة اطلق عليه Multistage - SVDs والذي بدوره يفصل المسارات وبالتالي المصفوفات المستقراة الخاصة بالتخمين الى عدة مستويات من مقاطع البيانات. يمثل كل مستوى فترة او مقطع زمني محدد من البينات المستخدمة انفا. يستخدم النظام الصفات الكامنة المستخلصة من كل مستوى في حساب التشابه بين المستخدمين , وبهذا فان النظام سيتعرف على المستخدمين الاقرب الى المستخدم الحالي او قيد التجربة ليقترح عليه افضل الاماكن التي من المحتمل ان تكون ضمن اهتماماته على الخارطة الرقمية.يستخدم النظام المقترح تقنية اقتراح العناصر ذات التردد الاعلى لاقتراح وتوصية الاماكن للمستخدم من استقراء الصفات الكامنة لتفضيلات المستخدمين الاقرب له في الصفات. بالاضافة الى تطوير هذه التقية عن طريق استخدام المكان الحالي للمستخدم لاستخراج افضل النتائج وتحسين قائمة المقترحات المؤمل عرضها على المستخدم. تم تقييم النظام المقترح بطريقتي الاستدعاء والدقة الخاصتين بتقييم انظمة استرجاع البيانات وذلك بتطبيق الطريقتين بصورة تدريجية تبعا لعدد محدد من العناصر المقترحة. حيث قسمت البيانات الى قسم التدريب والذي ياخذ احد عشر فترة زمنية كبيانات تدريب , والفترة الاخيرة هي بيانات الفحص والمقارنة . حيث كانت نسب الاستدعاء والمطابقة بين (7% - 75%) ومعدلها 46,5% , اما قيم الدقة كانت بين (9% - 94%) ومعدلها 30% للنظام كله. وطبق كذلك تقييم اخر لفحص مدى تاثير استخدام قيمة بعد مانهاتن من موقع المستخدم الحالي على المواقع المقترحة فانتجت قيم بين (35% - 95%) من المطابقة . حيث ان نسبة المطابقة تقل نسبة الى نقصان قيمة المسافة المستخدمة وتزداد تبعا لزيادتها , كما لوحظ ان بنقصان نسبة المطابقة لتوجهات المستخدم يتم اقتراح مواقع جديدة للمستخدمين. | Mobile devices are widely used todays with a huge number of applications usages that support users agreements, many of useful applications produce recommendations to the users like interested movies, news, foods, etc... The recommendations of significant places on maps applications are most likely nowadays, therefore there are several techniques which are involved within this field, and geographic information systems (GIS) data are the best data lake that are useful to be processed to predict user’s needs.This dissertation focuses on users’ mobility to recommend best positions of interest, users movements are detected from Global Positioning System (GPS) tracks recorded by users’ mobile devices. The proposed system preprocesses the tracks to simplify the process complexity of track’s huge number points, it improves a new version of Douglas Peucker line simplification algorithm to normalize tracks, and it depends on dynamic thresholds.The proposed recommender system creates implicit feedbacks from users’ movements’ histories with digital map consolidating. Rating matrices represent the users’ behaviors through the case study timeline, and have some limitations like high dimensionality. Here, Singular Values Decomposition (SVD) is used to reduce feature space dimensionalities, but with developed techniques. The dissertation introduces Multistage - SVDs system which factorizes the inducted rating matrices into multi - level data segments, each one represents one period of time slices within system data. The extracted latent features from each level of Multistage - SVDs are used to checking user similarities to his neighbors, and then the system picks the group of nearest users to recommend their similar preferences to the current user. Thus, a hybrid recommendation system is adopted in this work, matrix factorization and collaborative filtering.The system uses most frequent item recommendation technique to recommend best positions to the user from the latent grouped nearest user’s preferences, a simple explicit feedback is used here which is the current user place from GPS as a new combination function to enhance recommendation list. The system is evaluated by applying information retrieval recall and precision on the resulted recommended items for all users gradually in the training set periods and compared with the last period of users’ preferences as a testing set, The values of recall are between [7% - 75%] and the average is 46.5%, the values of precision are between [9% - 94%] and the average is 30% for the entire system. Another evaluation is calculated which is the recall of recommendations according to the physical Manhattan distance range from the user’s location, it produces between [35% - 95%] of matching. As the recall decreases as new items will be recommended to the user according to his current place and vice versa.

تاثير الضوضاء على نتائج خوارزمية التجميع == Noise Effect on The Clustering Algorithm Results

Author name: هدى قاسم جبار
Supervisor name: جاسم طعمه سرسوح | كاظم مهدي هاشم
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - College Of Science - Department Of Computer
Language: English
University location: Baghdad
First pages:
Abstract: lustering, which is partitioning data into groups of similar objects, has a wide range of applications. In many cases, unstructured data makes up a significant part of the input.Attempting to cluster such part of the data, which can be referred to as noise, can disturb the clustering on the remaining domain points. Despite the practical need for a framework of clustering that allows a portion of the data to remain unclustered, little research has been done so far in that direction. In this thesis, we take a step towards addressing the issue of clustering in the presence of noise.Clustering is being widely used in many applications including medical, financial, etc. Clustering may be applied on database using various approaches, based upon distance, density, hierarchy, and partition. The data item which is not relevant to data mining is called noise. Noise is a major problem in cluster analysis, which degrades the performance of various clustering algorithms in the term of efficiency and time.The objective of this thesis is to study the noise effect on the performance of various clustering algorithms. Propose a new clustering algorithm that the noise effect is very low compared with the other clustering algorithms.Our purpose is to study how a proposed algorithm is responsive to the noise in the efficiency. K - mean algorithm and our proposed clustering algorithm used based upon the partitioned or hierarchical clustering. Different types of noise add to selected database then measure the effect of that noise on the result of clustering algorithm (proposed algorithm and K - mean algorithm).The challenge of our proposed algorithm to the noise is study by computing the efficiency, the time and the obtained clusters number. Then the percentage of noise will be varied, the efficiency and the time required for clustering, will be calculated. The observation results will be used to compare the efficiency of algorithms and the processed time.The proposed clustering algorithm and other algorithms used in our study have been implemented using (MATLAB R2014b) programming language, and the programs work under windows 7 Ultimate service pack1 operating system type (32 - bit). The tests have been applied using a personal computer (Core i5, processor 2.60 GHz, RAM 6 G - byte).A real - world database containing 200 images has been constructed during thesis time. We do some experiments to demonstrate the power of the proposed algorithm.The results showed that the proposed clustering algorithm efficiency is not affected by the presence of noise but it efficiency is less if the noise ratio is increased.

وسيلة لاستراتيجية الاندماج الامثل في انظمة متعددة المقاييس الحيوية == An Approach to Optimal Fusion Strategy in Multibiometric Systems

Author name: نورة عمران علكم
Supervisor name: عامر صديق الملاح
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - College Of Science - Department Of Computer
Language: English
University location: Baghdad
First pages:
Abstract: Identification system has been widely covered by many researchers using different methods to reach to the desired goal with the best and accurate method. Most Identification systems which depend on a Single biometric have many restrictions such as noisy information, non universality, spoof attack and inadmissible rate of error. These restrictions will be solved by deploying multimodal biometric systems that has been proposed in this thesis. The multimodal biometric systems utilize two or more individual modalities, such as Fingerprint, Iris, Retina and Face. In this thesis , two biometrics, Fingerprint and Iris, are used as multibiometrics. The system consists of three main parts : First is Identification by fingerprint , the second is Identification by the iris, the third is the Fusion between the fingerprint and iris in one of the levels. A matching score and decision levels has been selected in this thesis .Wavelet packets transform is used to reduce the image size without losing the important information and two activation function wavelet networks as a features extractor and for fusion, score level and decision level are employed after biometric results for each trait founded separately. The fingerprint and iris images that are used for testing the system have been obtained from the from CASIA website and palacky university for (35) person which consist of (350) images, (175) fingerprint images and (175) iris images. The Error rate is shown by the results after testing the system is 8.6%. Two researches are published from this thesis that titled (Fingerprint and Iris Fusion for Identification),(Iris Identification Using Two Activation Function Wavelet Networks).

تقييم دوال الفوضى الاحادية البعد في تشفير اشارة الكلام == Evaluation of One - Dimensional Chaotic Maps in Speech Encryption

Author name: نورا زيدان خلف
Supervisor name: سعد نجم باشخ السعد
General topic: Computer Science
Specific topic: Computer Science
Degree: Master
University: Mustansiriyah University - College Of Science - Department Of Computer
Language: English
University location: Baghdad
First pages:
Abstract: تستخدم عدة انواع من الدوال الفوضى في تشفيرالمعلومات بدلا من التشفر التقليدي لامتلاكها ميزات مهمه.في هذه الرسالة تم تقييم ستة انواع من دوال الفوضى. ودوال الفوضى هي logistic map, tent map, circle map, Bernoulli map, ICMIC map وdyadic map.وتضمنت الرسالة : - اختبار توحيد العشوائية لجميع المتسلسلات المتولدة من دوال الفوضى. - تحويل المتسلسلات من النظام العشري الى نظام الثنائي باستخدام CCCBG(Cross Coupled Chaotic Bit Generation). - اختبار المتسلسلات الثنائية الناتجة باستخدام خمسة عشر اختبار صادره من المعهد التقني للمعايير والتكنولجيه NIST)).نتائج الاختبار لستة دوال الفوضى تشير ان logistic map, tent map, circle map, Bernoulli mapو map ICMIC نجحت خلال الاختبار بينما dyadic map لم تنجح. من خلال اختبار توحيد اظهرت النتائج ان tent map, circle mapو Bernoulli map هي موحدة بينما logistic map, ICMIC map وdyadic map غير موحده .تم تنفيذ الخوارزمية لتشفير الكلام باستخدام كل سلسله متولدة من دوال الفوضى. الخوارزمية المقترحة استخدمت سلسلة الدوال كمفتاح. تم الاستعانه بخمس انواع من المقاييس لتنفيذها على الكلام المشفرومقارنته مع الكلام الصريح. ان نظام التشفير يوفر كلام مشفر مع نسبة وضوح قليلة جدا, عندما استخدام دوال التي تمتلك العشوائية (نسبة الاشارة الى الضوضاء SNR ونسبة الاشارة الى الضوضاء المقطعي SNRseg ونسبة الاشارة الى الضوضاء المقطعي الطيفي SSNRseg تصل الى 28 - وقيمة معامل الارتباط تقترب من الصفر), بينما عندما استخدام الدوال التي لاتمتلك العشوائية (نسبة الاشارة الى الضوضاء SNR ونسبة الاشارة الى الضوضاء المقطعي SNRseg ونسبة الاشارة الى الضوضاء المقطعي الطيفي SSNRseg تصل الى 23 - وقيمة معامل الارتباط تقترب من الصفر) . نتائج الاختبار تشير ان العشوائية ليس لها تاثير على التشفير. نفذ العمل العملي لهذه الرسالة بلغة البرمجة الماتلاب. | Several types of chaotic maps have been used broadly in media encryption rather than the traditional encryption because of the important features the chaotic maps have. In the present thesis, an evaluation process has been done for six types of chaotic maps. The chaotic maps used are logistic map, tent map, circle map, Bernoulli map, ICMIC (Iterative Chaotic Map with Infinite Collapses) map and dyadic map. The sequences generated from each chaotic map are tested for uniformity and randomness. The relation between randomness, uniformity and highly security are studied. The fifteen tests of NIST (National Institute Standards and Technology) are implemented in binary randomness test while CCCBG (Cross Coupled Chaotic Bit Generation) is chosen for converting real numbers to binary. The results of testing six chaotic maps indicate that the logistic, circle, tent, ICMIC and Bernoulli are passed through NITS tests while dyadic is not. Circle map, tent map and Bernoulli map are a uniform distribution while Logistic map, ICMIC map and dyadic map are not uniform. Also, each sequence generated from the chaotic maps has been used for speech encryption. A proposed algorithm is proposed and implemented for this task using the chaotic sequences as a key. The encrypted speech is tested using five types of measurements. The results indicate that the encryption system provides encryption speech signal of very low residual intelligibility, when used chaotic have randomness (SNRseg and SSNRseg are very low up to - 28 and correlation closed to zero), while when used chaotic map do not have randomness (SNRseg and SSNRseg are very low up to - 23 and correlation closed to zero). The results show that the randomness does not have effect on speech encryption. The practical work of the thesis is implemented in Matlab programming language
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