Steganographic Techniques on Social Media: Investigation Guidelines

Total Page:16

File Type:pdf, Size:1020Kb

Steganographic Techniques on Social Media: Investigation Guidelines Steganographic Techniques on Social Media: Investigation Guidelines AIMIE CHEE B.S. Computer Science (Southwest Minnesota State University, USA) A thesis submitted to the graduate Faculty of Design and Creative Technologies AUT University in partial fulfilment of the requirements for the degree of Master of Forensic Information Technology School of Computing and Mathematical Sciences Auckland, New Zealand 2013 ii Declaration I hereby declare that this submission is my own work and that, to the best of my knowledge and belief, it contains no material previously published or written by another person nor material which, to a substantial extent, has been accepted for the qualification of any other degree or diploma of a University or other institution of higher learning, except where due acknowledgement is made in the acknowledgements. .......................................... Aimie Chee (20 May 2013) iii Acknowledgements This thesis was completed at the Faculty of Design and Creative Technologies in the School of Computing and Mathematical Sciences at Auckland University of Technology. I would like to express my deepest gratitude to everyone who has supported me through the two years of my thesis journey. First of all, I would like to thank my father, Shout Twong, and my mother, You Laa, who have financially supported my entire post graduate study and have given me the courage to fulfil my dream. I would also like to thank my best friend, Cathy, who has continuously guided, helped, and encouraged me whenever I was stressed and lost during my post graduate study. I would like to thank my thesis supervisor, Dr. Brian Cusack, who has provided valuable advice on and inspiration for the thesis project, without him, I would not have been able to achieve this much. Thanks also to my course mates, Ting and Muteb for sharing their brilliant ideas and providing valuable suggestions in regard to my thesis project. I would like to offer my deepest appreciation to all the postgraduate staff and lecturers for supporting my two years of postgraduate study, without you, I would not have successfully completed my degree. I appreciate the services of Catriona Carruthers who proof-read this dissertations. Last but not least, I would like to thank Magnet Forensic software for providing the full trial version of Internet Evidence Finder and Mr. Jad Saliba from the Magnet Forensic support desk for supporting me and addressing the Facebook chat recovery issues that occurred during the execution of this thesis project. I would also like to extend my appreciation to Backbone Security for providing me with the opportunity of using their trial version of StegAlyzerAS and StegAlyzerSS and to thank Mr. Robert W. Lipscomb for answering queries in regard to the tool‘s technical issues. iv Abstract Online social networking is available to anyone who wants to sign up to the many sites available. The web-based services allow users to communicate with many media sources and to build relationship networks that have personal meaning. The medium permits open communication and, consequently, the propagation of hidden messages (steganography) and the exchange of images, text, sound files and so on, that may contain hidden information. The purpose of this research is to find out whether or not it is necessary to include steganography as a routine check when conducting digital forensics examinations in relation to online social networking. This is a challenge to digital forensic investigators as the hidden messages will not be found if they are not being searched for. The research testing was carried out in a laboratory environment under an empirical approach. In the pre-test, five steganographic techniques with different image formats were uploaded on Facebook and Google+ social network websites and then downloaded to identify the techniques that can and cannot be used on Facebook and Google+ for the complete process of covert communication up to the extraction of the hidden messages. Two suitable techniques, JP Hide and Seek and StegHide with common JPEG images were chosen for the experimental case scenarios, based on the pre-test results. The experimental case scenarios were simulated on laboratory computers and digital forensic examinations were undertaken to identify both the uploaded hidden messages in different images and to extract the hidden messages in the uploaded and downloaded image files. Based on the digital forensic examination performed on the experimental case scenarios, a guideline for the steganographic examination process was established. The findings from the pre-test results showed that steganography is difficult to perform in the Facebook photo upload feature. Here the hidden message cannot be extracted after the image is downloaded from Facebook, but it can be successfully performed through the message file attachment and group file sharing features with a variety of image formats such as JPEG, PNG, BMP, and GIF. On Google+ photo sharing, on the other hand, the complete cycle of steganography communication from embedding up to the extraction of hidden messages was successfully undertaken with JPEG, PNG, BMP or GIF image v formats. The results show that steganography can be propagated in social media; therefore it is necessary to include steganographic evaluation in the standard digital investigation procedures. It was discovered during the research experiment that there is a lack of effective forensic tools in the area of steganographic image analysis or signature detection. The current steganalysis tools are designed for specific signatures but there are very many steganographic tools that are capable of embedding hidden messages using different techniques. This is a challenge for the digital forensic investigator. Therefore, there is an opportunity for further research in this area where the capabilities of detection tools can be further developed with more steganographic signatures. vi Table of Contents Declaration .......................................................................................................... ii Acknowledgements ............................................................................................ iii Abstract ............................................................................................................... iv Table of Contents ................................................................................................ vi List of Tables .....................................................................................................xii List of Figures ................................................................................................... xiv List of Abbreviations ......................................................................................... xvi Chapter 1: Introduction 1.0 BACKGROUND....................................................................................... 1 1.1 MOTIVATIONS ....................................................................................... 2 1.2 THE RESEARCH APPROACH ................................................................ 4 1.3 THE RESEARCH FINDINGS .................................................................. 4 1.4 STRUCTURE OF THESIS ...................................................................... 6 Chapter 2: Literature Review 2.0 INTRODUCTION ..................................................................................... 8 2.1 STEGANOGRAPHY OVERVIEW .......................................................... 8 2.1.1 Steganography vs Cryptography .................................................. 10 2.1.2 Steganography vs Watermarking ................................................. 11 2.1.3 The Prisoner‘s Problem ............................................................... 12 2.1.4 Steganography Classification ....................................................... 13 2.1.4.1 Semagrams .................................................................. 14 2.1.4.2 Open Codes ................................................................. 14 2.1.4.3 Spam Mimics............................................................... 15 2.1.4.4 Digital Media............................................................... 16 2.1.4.5 Disk Space ................................................................... 17 2.1.4.6 Protocol ....................................................................... 17 2.1.4.7 Other Files ................................................................... 17 2.2 DIGITAL IMAGE FORMAT.................................................................. 18 2.2.1 Colour Representation .................................................................. 19 vii 2.2.2 Raster Format ............................................................................... 20 2.2.3 Palette Format .............................................................................. 21 2.2.4 Transform Format - JPEG ............................................................. 21 2.3 IMAGE STEGANOGRAPHY ................................................................ 22 2.3.1 Text File (.txt) Injection into Image File ....................................... 23 2.3.2 Zip File (.rar / .zip) Injection into Image File ................................ 24 2.3.3 Hiding in EXIF ............................................................................. 26 2.3.4 Least Significant Bits (LSB) Substitution in Spatial Domain Images ...............................................................................................................
Recommended publications
  • Physical and Cyber Crime Detection Using Digital Forensic Approach: a Complete Digital Forensic Tool
    Jain Nilakshi et al., International Journal of Advance Research, Ideas and Innovations in Technology. ISSN: 2454-132X Impact factor: 4.295 (Volume3, Issue1) Available online at: www.ijariit.com Physical and Cyber Crime Detection using Digital Forensic Approach: A Complete Digital Forensic Tool Dr. Nilakshi Jain Neha Bhanushali Sayali Gawade Gauri Jawale Information Technology Information Technology Information Technology Information Technology Department Department Department Department Shah and Anchor kutchhi Shah and Anchor kutchhi Shah and Anchor kutchhi Shah and Anchor kutchhi Engineering college Engineering college Engineering college Engineering College nilakshijain1986@gmail. nehabhanushali2017@g [email protected] [email protected] com mail.com Abstract— Criminalization may be a general development that has significantly extended in previous few years. In order, to create the activity of the work businesses easy, use of technology is important. Crime investigation analysis is a section records in data mining plays a crucial role in terms of predicting and learning the criminals. In our paper, we've got planned an incorporated version for physical crime as well as cybercrime analysis. Our approach uses data mining techniques for crime detection and criminal identity for physical crimes and digitized forensic tools (DFT) for evaluating cybercrimes. The presented tool named as Comparative Digital Forensic Process tool (CDFPT) is entirely based on digital forensic model and its stages named as Comparative Digital Forensic Process Model (CDFPM). The primary step includes accepting the case details, categorizing the crime case as physical crime or cybercrime and sooner or later storing the data in particular databases. For physical crime analysis we've used k- means approach cluster set of rules to make crime clusters.
    [Show full text]
  • Digital Forensic Research: Current State-Of-The-Art
    Digital Forensic Research: Current State-of-the-Art Sriram Raghavan Queensland University of Technology Brisbane, Queensland 4000, AUSTRALIA [email protected] Abstract—Digital Forensics is the process of employing scientific last year, fully 45.6 percent of them reported they’d been the principles and processes analyze electronically stored subject of at least one targeted attack. According to the information to determine the sequence of events which led to a 2010/11 CSI Computer Crime Survey [60], almost 46% of the particular incident. In this digital age, it is important for respondents were affected by at least one form of computer researchers to become aware of the recent developments in this crime. According to 2010 Gallup Computer Crime survey dynamic field and understand scope for the future. The past decade has witnessed significant technological advancements to [73], 11% of American adults report that they were a victim of aid during a digital investigation. Many methodologies, tools and a computer or Internet crime on their home computer in the techniques have found their way into the field designed on past year, up from the 6% to 8% levels found in the previous forensic principles. Digital forensics has also witnessed many seven years. The 2012 Indian Risk survey [71] indicates that innovative approaches that have been explored to acquire and Computer and Internet crime remains the single largest source analyze digital evidence from diverse sources. In this paper, we of national threat at 10.81% closely followed by terrorism at review the research literature since 2000 and categorize 10.43%.
    [Show full text]
  • Current and Future Trends in Mobile Device Forensics: a Survey
    Current and Future Trends in Mobile Device Forensics: A Survey KONSTANTIA BARMPATSALOU, TIAGO CRUZ, EDMUNDO MONTEIRO, and PAULO SIMOES, Centre for Informatics and Systems of the University of Coimbra, Department of Informatics (CISUC/DEI), University of Coimbra, Portugal Contemporary mobile devices are the result of an evolution process, during which computational and networking capabilities have been continuously pushed to keep pace with the constantly growing workload requirements. This has allowed devices such as smartphones, tablets and Personal Digital Assistants (PDAs) to perform increasingly complex tasks, up to the point of efficiently replacing traditional options such as desktop computers and notebooks. However, due to their portability and size, these devices are more prone to theft, to become compromised or to be exploited for attacks and other malicious activity. The need for investigation of the aforementioned incidents resulted in the creation of the Mobile Forensics (MF) discipline. MF, a sub-domain of Digital Forensics (DF), is specialized in extracting and processing evidence from mobile devices in such a way that attacking entities and actions are identified and traced. Beyond its primary research interest on evidence acquisition from mobile devices, MF has recently expanded its scope to encompass the organized and advanced evidence representation and analysis of future malicious entity behavior. Nonetheless, data acquisition still remains its main focus. While the field is under continuous research activity, new concepts such as the involvement of Cloud Computing in the MF ecosystem and the evolution of enterprise mobile solutions – particularly Mobile Device Management (MDM) and Bring Your Own Device (BYOD) – bring new opportunities and issues to the discipline.
    [Show full text]
  • Increasing Digital Investigator Availability Through Efficient Workflow Management and Automation
    INCREASING DIGITAL INVESTIGATOR AVAILABILITY THROUGH EFFICIENT WORKFLOW MANAGEMENT AND AUTOMATION Ronald In de Braekt*, Nhien-An Le-Khac†, Jason Farina†, Mark Scanlon†, M-Tahar Kechadi† *Korps Nationale Politie, Netherlands. †School of Computer Science, University College Dublin, Ireland. [email protected], {an.lekhac, mark.scanlon,tahar.kechadi}@ucd.ie, [email protected] Abstract The growth of digital storage capacities and diversity devices has had a significant time impact on digital forensic laboratories in law enforcement. Backlogs have become commonplace and increasingly more time is spent in the acquisition and preparation steps of an investigation as opposed to detailed evidence analysis and reporting. There is generally little room for increasing digital investigation capacity in law enforcement digital forensic units and the allocated budgets for these units are often decreasing. In the context of developing an efficient investigation process, one of the key challenges amounts to how to achieve more with less. This paper proposes a workflow management automation framework for handling common digital forensic tools. The objective is to streamline the digital investigation workflow - enabling more efficient use of limited hardware and software. The proposed automation framework reduces the time digital forensic experts waste conducting time-consuming, though necessary, tasks. The evidence processing time is decreased through server-side automation resulting in 24/7 evidence preparation. The proposed framework increases efficiency of use of forensic software and hardware, reduces the infrastructure costs and license fees, and simplifies the preparation steps for the digital investigator. The proposed approach is evaluated in a real-world scenario to evaluate its robustness and highlight its benefits.
    [Show full text]
  • Comprehensive Study of Digital Forensics
    ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 5, July 2012 COMPREHENSIVE STUDY OF DIGITAL FORENSICS Jatinder kaur, Gurpal Singh SMCA, Thapar University, Patiala-147004, India [email protected], [email protected] Abstract— This paper presenting the review about digital forensics, it consists of techniques as well as various tools used to accomplish the tasks in the digital forensic process. Network forensics is forensics and important technology for network security area. In this paper, we inspect digital evidence collection processes using these tools. From last few decades the Figure 1 : Shows processes to collect digital data digital forensic techniques have been improved appreciably but still we face a lack of effective forensics tools to deal with varied incidents caused by these rising technologies and the advances 2. Collect, observe & preserve. in cyber crime. This article discusses the tools used in network 3. Analyze , identify and forensics , various gaps founds in these tools, and the 4. Rebuild the evidence and verify the result every time [16]. advantages and disadvantages of these tools. In the document describe digital evidence collection process Index Terms— Forensics, Digital evidence, Network forensics, as follows: computer forensics, Cyber crime , Encase, Sleuth Kit. 1. Where is the evidence? List out the systems were involved in the incident and from which evidence will be collected. I. INTRODUCTION 2. Establish what is likely to be relevant and admissible. Forensics is use of science and technology to investigate and When in doubt err on the side of collecting too much rather establish facts in criminal and civil courts of law.
    [Show full text]
  • Qualitative Assessment of Digital Forensic Tools
    Asian Journal of Electrical Sciences ISSN: 2249- 6297, Vol. 9, No. 1, 2020, pp. 25-32 © The Research Publication, www.trp.org.in Qualitative Assessment of Digital Forensic Tools Sakshi Singh and Suresh Kumar Department of Computer Science and Engineering, Ambedkar Institute Of Advanced Communication Technologies & Research New Delhi, Delhi, India. E-mail: [email protected], [email protected] Abstract - Forensic science is a study of science to criminals and A. Network Forensics: Network forensics is a branch of civil laws. Digital forensics is the part of forensic science relating advanced digital forensic identifying with the observing and to proof found in computers and advanced storage media. investigation of computer system traffic to collect network Forensic examiners gather, protect and break down logical traffic data, legitimate proof or interruption recognition. The confirmations over the span of examination. Digital information significant objective of the forensics of the network is to contains data as content, pictures, sound, video and so on. These days numerous cybercrime cases, for example, hacking, banking gather proof from the network traffic. It attempts to investigate cheats, phishing, email spamming, etc., have developed which are traffic information collected from various websites and connected with a computerized information. Since the digital network equipment, for example, IDS and firewalls. It screens investigation is turning into an expanding concern, numerous on the system to distinguish assaults and examine the idea of digital forensic tools have been created to manage the difficulties attacks. It is also the way of distinguishing interruption of exploring computerized wrongdoings. The motivation behind examples concentrating on attackers' exercises.
    [Show full text]
  • Digital Forensic Readiness: an Examination of Law Enforcement Agencies in the State of Maryland
    Dakota State University Beadle Scholar Masters Theses & Doctoral Dissertations Spring 4-2020 Digital Forensic Readiness: An Examination of Law Enforcement Agencies in the State of Maryland James B. McNicholas III Dakota State University Follow this and additional works at: https://scholar.dsu.edu/theses Part of the Data Science Commons, Forensic Science and Technology Commons, Law Enforcement and Corrections Commons, and the Other Computer Sciences Commons Recommended Citation McNicholas, James B. III, "Digital Forensic Readiness: An Examination of Law Enforcement Agencies in the State of Maryland" (2020). Masters Theses & Doctoral Dissertations. 350. https://scholar.dsu.edu/theses/350 This Dissertation is brought to you for free and open access by Beadle Scholar. It has been accepted for inclusion in Masters Theses & Doctoral Dissertations by an authorized administrator of Beadle Scholar. For more information, please contact [email protected]. 1 DIGITAL FORENSIC READINESS: AN EXAMINATION OF LAW ENFORCEMENT AGENCIES IN THE STATE OF MARYLAND A dissertation submitted to Dakota State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Cyber Operations April, 2020 By James B. McNicholas III Dissertation Committee: Dr. Wayne E. Pauli Dr. Ashley Podhradsky Gerald Maye Trevor Jones 2 © Copyright 2020 by James B. McNicholas III ALL RIGHTS RESERVED DocuSign Envelope ID: C488AC4C-372D-44F3-A665-257DDB0CB1CB DISSERTATION APPROVAL FORM This dissertation is approved as a credible and independent investigation by a candidate for the Doctor of Philosophy degree and is acceptable for meeting the dissertation requirements for this degree. Acceptance of this dissertation does not imply that the conclusions reached by the candidate are necessarily the conclusions of the major department or university.
    [Show full text]
  • A Literature Review on Cyber Forensic and Its Analysis Tools
    ISSN (Online) 2278-1021 IJARCCE ISSN (Print) 2319 5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 1, January 2016 A Literature Review on Cyber Forensic and its Analysis tools Mandeep Kaur1, Navreet Kaur2, Suman Khurana3 Student, Department of Computer Science and Application, K.M.V., Jalandhar, India 1, 2 Associate Professor, Department of Computer Science and Application, K.M.V., Jalandhar, India3 Abstract: With the advancement in cyber area, frequent use of internet and technologies leads to cyber attacks. Digital forensic is opted for acquiring electronic information and investigation of malicious evidence found in system or on network in such a manner that makes it admissible in court. It is also used to recover lost information in a system. The recovered information is used to prosecute a criminal. Number of crimes committed against an internet and malware attacks over the digital devices have increased. Memory analysis has become a critical capability in digital forensics because it provides insight into the system state that should not be represented by traditional media analysis. In this paper, we study the details of cyber forensics and also provide the vital information regarding distinctive tools operate in digital forensic process. It includes forensic analysis of encrypted drives, disk analysis, analysis toolkit, volatile memory analysis, captures and analyzes packets on network. Keywords: Cyber Forensic, Volafox, Votality, Dff. I. INTRODUCTION Digital forensics is the application of examination and computer systems, networks, wireless transmission, and analysis techniques to gather and preserve evidence from storage devices in a way that is admissible as evidence in a an appropriate computing device in a way that is suitable court of law [2].
    [Show full text]
  • A Forensic Acquisition and Analysis System for Iaas Saad Alqahtany · Nathan Clarke · Steven Furnell· Christoph Reich
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Plymouth Electronic Archive and Research Library A Forensic Acquisition and Analysis System for IaaS Saad Alqahtany · Nathan Clarke · Steven Furnell· Christoph Reich Abstract Cloud computing is a promising next-generation 1 Introduction computing paradigm that offers significant economic In the past few years, cloud computing has become an benefits to both commercial and public entities. attractive solution for many Internet users and Furthermore, cloud computing provides accessibility, organizations [1]. Cloud computing offers significant simplicity, and portability for its customers. Due to the economic benefits to users by providing a highly scalable unique combination of characteristics that cloud infrastructure, pay-as-you-go service at low cost, and on- computing introduces (including on-demand self-service, demand computing. Nonetheless, the same technology broad network access, resource pooling, rapid elasticity, also poses a number of threats, including criminal and measured service), digital investigations face various exploitation, which can leave little evidence behind and technical, legal, and organizational challenges to keep up enable the carrying out of malicious activities with ease. with current developments in the field of cloud For example, cybercriminals are utilizing existing cloud computing. There are a wide variety of issues that need to services as their infrastructure to target their victims. In be resolved in order to perform a proper digital 2013, a Chinese gang exploited cloud file-hosting services investigation in the cloud environment. This paper and utilized Dropbox to distribute its malware in examines the challenges in cloud forensics that are preparation for an initial stage of Distributed Denial of identified in the current research literature, alongside Service (DDoS) attacks [2].
    [Show full text]
  • A New Framework for Securing, Extracting and Analyzing Big Forensic Data
    Journal of Digital Forensics, Security and Law Volume 13 Article 6 October 2018 A New Framework for Securing, Extracting and Analyzing Big Forensic Data Hitesh Sachdev Georgia Southern University hayden wimmer Georgia Southern University, [email protected] Lei Chen Georgia Southern University Carl Rebman University of San Diego, [email protected] Follow this and additional works at: https://commons.erau.edu/jdfsl Part of the Computer and Systems Architecture Commons, Computer Law Commons, Data Storage Systems Commons, Information Security Commons, Management Information Systems Commons, Systems Architecture Commons, and the Technology and Innovation Commons Recommended Citation Sachdev, Hitesh; wimmer, hayden; Chen, Lei; and Rebman, Carl (2018) "A New Framework for Securing, Extracting and Analyzing Big Forensic Data," Journal of Digital Forensics, Security and Law: Vol. 13 , Article 6. DOI: https://doi.org/10.15394/jdfsl.2018.1419 Available at: https://commons.erau.edu/jdfsl/vol13/iss2/6 This Article is brought to you for free and open access by the Journals at Scholarly Commons. It has been accepted for inclusion in Journal of Digital Forensics, Security and Law by an authorized administrator of (c)ADFSL Scholarly Commons. For more information, please contact [email protected]. A NEW FRAMEWORK FOR SECURING, EXTRACTING AND ANALYZING BIG FORENSIC DATA Hitesh Sachdev1, Hayden Wimmer1, Lei Chen1, Carl Rebman2 1Georgia Southern University Dept. of Information Technology P.O. Box 8150 Statesboro, GA 30415, USA [email protected], [email protected]*, [email protected] 2University of San Diego School of Business Administration 5998 Alcala Park Coronado 212 San Diego, CA 92110 [email protected] ABSTRACT Finding new methods to investigate criminal activities, behaviors, and responsibilities has always been a challenge for forensic research.
    [Show full text]
  • Digital Forensics: Smart Aid for Digital Evidences
    Special Issue - 2017 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 ICCCS - 2017 Conference Proceedings Digital Forensics: Smart Aid for Digital Evidences Mukul Kumar Srivastava Devansh Chopra Vaishali HMR Institute of Technology and HMR Institute of Technology and Dept. of Computer Science Management, Hamidpur, Management, Hamidpur HMRITM, Delhi India Delhi India Delhi India Abstract --- In the digital era, most of the users have suffered they just make distance for doing his task. In present time from a loss of data, unauthorized modification of data which led where internet is the one of the common think which share to the origination of Digital Forensics. It is the application of data from hand to hand become faster and more stable in science and technology used to find criminal and obey civil laws. particular Connection in (2G), (3G), (4G) connection [1]. It is mainly used for the investigation of the crime and is Last 7-8 years’ online communication continuously increase governed by certain legal standards of evidence and procedure his marketing. In today market, numbers of Android of crime. This paper contains manually tested tools used for operating system exist Like Google’s Android and Apple’s extraction of data from any storage device (it doesn’t matter if a iOS. These kinds of operating systems create major device is corrupted or blank), after data recovery, the recovery challenges for investigators for extraction data on it just folder contains audit file from the help of this we have summarized the result of all types of data recovery and their because of complexity [2].
    [Show full text]
  • Theory and Practice of Forensics Techniques for ‎Smartphones
    Al-Azhar University-Gaza Deanship of Postgraduate Studies Faculty of Engineering & Information Technology Master of Computing & Information Systems Theory and Practice of Forensics Techniques for ‎ Smartphones By: Mosbah Jalal Mosa Supervisor Dr. Ahmed Y. Mahmoud Associate Professor A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master in Computing and Information Systems December – 2018 جامعـــــــــت اﻷصهــــــــــــــــش – غــــــــــــــضة عمـــــــــادة الذساســــــــــــاث العليـــــــــــــــا كليـــــــــــــت الهنذست وحكنىلىجيـا المعلىماث ماجسخيــــــش الحىســبت ونظـم المعلــىمــــاث حطبيق نظشياث و حقنياث الطب الششعي للهىاحف الزكيت إعذاد الباحث: مصباح جﻻل محمذ مىسى إششاف: د. أحمذ يحيى محمىد أسخار مشاسك قذمج هزه الشسالت اسخكما ًﻻ لمخطلباث الحصىل على دسجت الماجسخيش في الحىسبت ونظم المعلىماث ديسمبش8102- قُلْ هَلْ يَسْتَوِي الَّذِيهَ يَعْلَمُونَ وَالَّذِيهَ ﻻ يَعْلَمُونَ إِوَّمَا يَتَذَكَّرُ أُولُو اﻷلْبَابِ I [الضمش: 9] II Dedication I dedicate this research: To the soul of martyr Hani To dear father To dear mother To my sons, Emad, Aya, and Leen To my beloved wife To my dear brothers To my sisters my heart To my friends And all of the people who helped me with this research. III Acknowledgment I would like to express my appreciation for all the efforts of my supervisor, Assoc. Prof. Dr. Ahmed Y. Mahmoud, for all the help, suggestions and guidance that he offered me. I am thankful to him for his advice and the time that he spent to make this work better. I would also like to thank my family for their support and their willingness to help at any time. I am truly grateful. I would like to express my appreciation to the academic staff of the graduate program of Computing and Information Systems at Al-Azhar University-Gaza.
    [Show full text]