Steganography a Data Hiding Technique Naga Ranijth Kumar Kesa [email protected]

Total Page:16

File Type:pdf, Size:1020Kb

Steganography a Data Hiding Technique Naga Ranijth Kumar Kesa Nkkesa@Stcloudstate.Edu St. Cloud State University theRepository at St. Cloud State Culminating Projects in Information Assurance Department of Information Systems 12-2018 Steganography A Data Hiding Technique Naga Ranijth Kumar Kesa [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/msia_etds Recommended Citation Kesa, Naga Ranijth Kumar, "Steganography A Data Hiding Technique" (2018). Culminating Projects in Information Assurance. 75. https://repository.stcloudstate.edu/msia_etds/75 This Starred Paper is brought to you for free and open access by the Department of Information Systems at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Information Assurance by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. Steganography–A Data Hiding Technique by Naga Ranjith Kumar Kesa A Starred Paper Submitted to the Graduate Faculty of St. Cloud State University in Partial Fulfillment of the Requirements for the Degree Master of Science in Information Assurance December, 2018 Starred Paper Committee: Mark B. Schmidt, Chairperson Lynn A. Collen Balasubramanian Kasi 2 Abstract Steganography implements an encryption technique in which communication takes place by hiding information. A hidden message is the combination of a secret message with the carrier message. This technique can be used to hide the message in an image, a video file, an audio file or in a file system. There are large variety of steganography techniques that will be used for hiding secret information in images. The final output image is called as a stego-image which consists of a secret message or information. Imperceptibility, payload, and robustness are three most important parameters for audio steganography. For a more secure approach, encryption can be used, which will encrypt the secret message using a secret key and then sent to the receiver. The receiver after receiving the message then decrypts the secret message to obtain the original one. In this paper, compared steganography with cryptography, which is an encrypting technique and explained how steganography provides better security in terms of hiding the secret message. In this paper, the various techniques are illustrated, which are used in steganography and studying the implementation of those techniques. Also, demonstrated the implementation process of one of the steganography techniques. A comparative analysis is performed between various steganographic tools by using the sample test images and test data. The quality metrics such as PSNR and SSIM are calculated for the final output images which are used for rating the tools. This paper also discusses about the Steganalysis which is known as the process of identifying the use of steganography. Keywords: Steganography, Cryptography, Steganalysis, Stego-image, PSNR, SSIM. 3 Table of Contents Page List of Tables ........................................................................................................................ 5 List of Figures ....................................................................................................................... 6 Chapter I. Introduction ............................................................................................................... 9 Introduction ......................................................................................................... 9 Problem Statement .............................................................................................. 10 Nature and Significance of the Problem ............................................................. 11 Objective of the Study ........................................................................................ 11 Study Questions/Hypotheses .............................................................................. 11 Summary ............................................................................................................. 11 II. Background and Review of Literature ...................................................................... 13 Introduction ......................................................................................................... 13 Background Related to the Problem ................................................................... 15 Literature Related to the Problem ....................................................................... 27 Literature Related to the Methodology ............................................................... 29 Summary ............................................................................................................. 30 III. Methodology ............................................................................................................. 31 Introduction ......................................................................................................... 31 Design of the Study ............................................................................................. 34 Data Collection ................................................................................................... 35 4 Chapter Page Data Analysis ...................................................................................................... 35 Summary ............................................................................................................. 49 IV. Analysis of Results ................................................................................................... 51 Introduction ......................................................................................................... 51 Data Presentation ................................................................................................ 52 Results ................................................................................................................. 85 Summary ............................................................................................................. 86 V. Conclusions and Future Work .................................................................................. 87 Introduction ......................................................................................................... 87 Conclusions ......................................................................................................... 87 Future Work ........................................................................................................ 88 References ............................................................................................................................. 89 5 List of Tables Table Page 1. Image Analysis .......................................................................................................... 53 2. Comparison of Software Tools of Steganography .................................................... 58 3. Features of Software Tools of Steganography .......................................................... 59 4. PSNR Values by Different Steganography Tools ..................................................... 85 5. SSIM Values by Different Steganography Tools ..................................................... 86 6 List of Figures Figures Page 1. Steganography process .............................................................................................. 16 2. Types of steganography ............................................................................................ 15 3. Image steganography techniques .............................................................................. 19 4. DCT regions .............................................................................................................. 23 5. Video steganography process ................................................................................... 27 6. LSB process .............................................................................................................. 33 7. Different types of steganoalysis approaches ............................................................. 42 8. The process of a universal steganalytic method ....................................................... 45 9. Test image 1 and image 2 ......................................................................................... 52 10. Secret image and text ................................................................................................ 52 11. Hide N Send software ............................................................................................... 54 12. CryptaPix software .................................................................................................... 55 13. QuickStego software ................................................................................................. 56 14. VSL software ............................................................................................................ 56 15. Steg software ............................................................................................................. 57 16. Hiding data using Steg .............................................................................................. 60 17. Saving the final output image with hidden date in Steg software ............................. 61 18. Opening the image with hidden data to extract in Steg software ............................. 62 19. Saving the extracted secret message from stego image in Steg software ................. 63 20. Final
Recommended publications
  • Trends Toward Real-Time Network Data Steganography
    TRENDS TOWARD REAL-TIME NETWORK DATA STEGANOGRAPHY James Collins, Sos Agaian Department of Electrical and Computer Engineering The University of Texas at San Antonio, San Antonio, Texas, USA [email protected], [email protected] Abstract Network steganography has been a well-known covert data channeling method for over three decades. The basic set of techniques and implementation tools have not changed significantly since their introduction in the early 1980’s. In this paper, we review the predominant methods of classical network steganography, describing the detailed operations and resultant challenges involved in embedding data in the network transport domain. We also consider the various cyber threat vectors of network steganography and point out the major differences between classical network steganography and the widely known end-point multimedia embedding techniques, which focus exclusively on static data modification for data hiding. We then challenge the security community by introducing an entirely new network data hiding methodology, which we refer to as real-time network data steganography. Finally, we provide the groundwork for this fundamental change of covert network data embedding by introducing a system-level implementation for real-time network data operations that will open the path for even further advances in computer network security. KEYWORDS Network Steganography, Real-time Networking, TCP/IP Communications, Network Protocols 1. INTRODUCTION Even though the origins of steganography reach back to the time of ancient Greece, to Herodotus in 440 BC, the art of steganography continues to evolve. This is especially true in the technical methods of digital embedding [1][2]. Digital steganography has been used since the early 1980’s and network steganography techniques quickly evolved with the advent of the Internet and standardized multimedia formats used for data exchange [3].
    [Show full text]
  • Cybersecurity, IT-Aided Education, and Teles: Nexus, Vistas & Realities
    CYBERSECURITY, IT-AIDED EDUCATION, AND TELES: NEXUS, VISTAS & REALITIES Emmanuel C. Ogu* Department of Computer Science, [email protected] School of Computing and Engineer- ing Sciences, Babcock University, Ilishan-Remo, Ogun State, Nigeria. Chiemela Ogu EMINDA Konsults, Yaba, Lagos, [email protected] Nigeria. * Corresponding author ABSTRACT Background The current decade has witnessed rising spates of threats and attacks that have threatened the safety and security of cyberspace, thereby giving rise to contem- porary discourses pertaining the realities that these ominous trends portend for technology innovation and digitalisation, in the emerging global digital society. In the process, the technological capabilities that have been used to effectively harness the efficiency that this virtual space provides for contemporary educa- tion and learning have been defamed. Aim/Purpose This exploratory research interrogates the possible relationships between the contemporary concerns of global cyber security, and the realities and prospects of IAE and TeLEs, while elucidating the crucial factors that impose on such relationship(s). Methodology This research adopts the qualitative research methodology with an exploratory approach to interrogate the various contemporary concerns of global cyberse- curity as contained in existing literature, especially as it affects the proliferation and adoption of IT-aided education and Technology-enhanced Learning Envi- ronments (TeLEs); based on a systematic correlational analysis of key interpos- ing concepts. Contribution The research presents an overview of the current status and prospects of de- velopment of IAE and TeLEs, as well as the nature of the realities associated with contemporary concerns of global cybersecurity; then also discussing how these cybersecurity concerns impact on the wider adoption and implementation of IAE and TeLEs.
    [Show full text]
  • A Method for Automatic Identification of Signatures of Steganography Software 3
    SUBMITTED TO IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 1 A Method for Automatic Identification of Signatures of Steganography Software Graeme Bell* and Yeuan-Kuen Lee Abstract—A fully automated, blind, media-type agnostic approach to research attention in steganalysis has been directed towards until now. steganalysis is presented here. Steganography may sometimes be exposed Implementation-induced artefacts are however a valid and interesting by detecting automatically-characterised regularities in output media target for steganalytic research, as the primary goal of steganography caused by weak implementations of steganography algorithms. Fast and accurate detection of steganography is demonstrated experimentally here (covert communication) is defeated whenever steganographic and across a range of media types and a variety of steganography approaches. non-steganographic media can be easily distinguished by any means. As Westfeld states in [2], Index Terms—blind, media-type agnostic, steganalysis, steganography, “The goal is to modify the carrier in an imperceptible way WAT-STEG only, so that it reveals nothing - neither the embedding of a message nor the embedded message itself.” I. INTRODUCTION In the past, discovery of implementation artefacts during research TEGANOGRAPHY is the field of research that studies how has occurred infrequently and on an ad-hoc basis. This paper dis- secret data can be hidden in carrier media, without being cusses a new steganalytic method by which the attempted discovery detectableS either to normal human observation or programmatic of these implementation-induced peculiarities can be automated. The scrutiny. Steganalysis [1]–[5] is the field of research that (primarily) method is applied in two stages. First, some known-stego training seeks methods to detect steganographic media.
    [Show full text]
  • Steganography- a Data Hiding Technique
    International Journal of Computer Applications (0975 – 8887) Volume 9– No.7, November 2010 Steganography- A Data Hiding Technique Arvind Kumar Km. Pooja Assistant Professor Vankateshwara institute of computer Vidya College of engineering, Meerut, India Science and technology, Meerut, India ABSTRACT In steganography, the possible cover carriers are innocent looking Steganography is the art of hiding information and an effort to carriers (images, audio, video, text, or some other digitally conceal the existence of the embedded information. It serves as a representative code) which will hold the hidden information. A better way of securing message than cryptography which only message is the information hidden and may be plaintext, cipher text, conceals the content of the message not the existence of the message. images, or anything that can be embedded into a bit stream. Together Original message is being hidden within a carrier such that the the cover carrier and the embedded message create a stego-carrier. changes so occurred in the carrier are not observable. In this paper we Hiding information may require a stego key which is additional secret will discuss how digital images can be used as a carrier to hide information, such as a password, required for embedding the messages. This paper also analyses the performance of some of the information. For example, when a secret message is hidden within a steganography tools. Steganography is a useful tool that allows covert cover image, the resulting product is a stego-image. transmission of information over an over the communications A possible formula of the process may be represented as: cover channel.
    [Show full text]
  • Defending Against Insider Use of Digital Steganography
    2007 Annual ADFSL Conference on Digital Forensics, Security and Law Proceedings Defending Against Insider Use of Digital Steganography James E. Wingate CISSP-ISSEP, CISM, IAM, Backbone Security, [email protected] Glenn D. Watt CISSP, CISM, IAM, IEM, Backbone Security, [email protected] Marc Kurtz CISSP, Backbone Security, [email protected] Chad W. Davis CCE, Backbone Security, [email protected] Robert Lipscomb Backbone Security, [email protected] Follow this and additional works at: https://commons.erau.edu/adfsl Part of the Computer Engineering Commons, Computer Law Commons, Electrical and Computer Engineering Commons, Forensic Science and Technology Commons, and the Information Security Commons Scholarly Commons Citation Wingate, James E.; Watt, Glenn D.; Kurtz, Marc; Davis, Chad W.; and Lipscomb, Robert, "Defending Against Insider Use of Digital Steganography" (2007). Annual ADFSL Conference on Digital Forensics, Security and Law. 1. https://commons.erau.edu/adfsl/2007/session-11/1 This Peer Reviewed Paper is brought to you for free and open access by the Conferences at Scholarly Commons. It has been accepted for inclusion in Annual ADFSL Conference on Digital Forensics, Security and Law by an (c)ADFSL authorized administrator of Scholarly Commons. For more information, please contact [email protected]. Conference on Digital Forensics, Security and Law, 2007 Defending Against Insider Use of Digital Steganography James E. Wingate, CISSP-ISSEP, Glenn D. Watt, CISSP,
    [Show full text]
  • Image Steganography Applications for Secure Communication
    IMAGE STEGANOGRAPHY APPLICATIONS FOR SECURE COMMUNICATION by Tayana Morkel Submitted in partial fulfillment of the requirements for the degree Master of Science (Computer Science) in the Faculty of Engineering, Built Environment and Information Technology University of Pretoria, Pretoria May 2012 © University of Pretoria Image Steganography Applications for Secure Communication by Tayana Morkel E-mail: [email protected] Abstract To securely communicate information between parties or locations is not an easy task considering the possible attacks or unintentional changes that can occur during communication. Encryption is often used to protect secret information from unauthorised access. Encryption, however, is not inconspicuous and the observable exchange of encrypted information between two parties can provide a potential attacker with information on the sender and receiver(s). The presence of encrypted information can also entice a potential attacker to launch an attack on the secure communication. This dissertation investigates and discusses the use of image steganography, a technology for hiding information in other information, to facilitate secure communication. Secure communication is divided into three categories: self-communication, one-to-one communication and one-to-many communication, depending on the number of receivers. In this dissertation, applications that make use of image steganography are implemented for each of the secure communication categories. For self-communication, image steganography is used to hide one-time passwords (OTPs) in images that are stored on a mobile device. For one-to-one communication, a decryptor program that forms part of an encryption protocol is embedded in an image using image steganography and for one-to-many communication, a secret message is divided into pieces and different pieces are embedded in different images.
    [Show full text]
  • Hiding Images in Plain Sight: Deep Steganography
    Hiding Images in Plain Sight: Deep Steganography Shumeet Baluja Google Research Google, Inc. [email protected] Abstract Steganography is the practice of concealing a secret message within another, ordinary, message. Commonly, steganography is used to unobtrusively hide a small message within the noisy regions of a larger image. In this study, we attempt to place a full size color image within another image of the same size. Deep neural networks are simultaneously trained to create the hiding and revealing processes and are designed to specifically work as a pair. The system is trained on images drawn randomly from the ImageNet database, and works well on natural images from a wide variety of sources. Beyond demonstrating the successful application of deep learning to hiding images, we carefully examine how the result is achieved and explore extensions. Unlike many popular steganographic methods that encode the secret message within the least significant bits of the carrier image, our approach compresses and distributes the secret image’s representation across all of the available bits. 1 Introduction to Steganography Steganography is the art of covered or hidden writing; the term itself dates back to the 15th century, when messages were physically hidden. In modern steganography, the goal is to covertly communicate a digital message. The steganographic process places a hidden message in a transport medium, called the carrier. The carrier may be publicly visible. For added security, the hidden message can also be encrypted, thereby increasing the perceived randomness and decreasing the likelihood of content discovery even if the existence of the message detected. Good introductions to steganography and steganalysis (the process of discovering hidden messages) can be found in [1–5].
    [Show full text]
  • Data Hiding Using Steganography and Cryptography
    Varsha et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 802-805 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 4, Issue. 4, April 2015, pg.802 – 805 REVIEW ARTICLE Data Hiding Using Steganography and Cryptography Varsha1, Dr. Rajender Singh Chhillar2 1M.Tech Student, Department of Computer Science & Application, M.D. University, Rohtak-124001 2Professor & Former Head, Department of Computer Science & Application, M.D. University, Rohtak-124001 1Email Id: [email protected] Abstract — Steganography and Cryptography are two popular ways of sending vital information in a secret way. One hides the existence of the message and the other distorts the message itself. This paper discussed a technique used on the advanced LSB (least significant bit) and RSA algorithm. By matching data to an image, there is less chance of an attacker being able to use steganalysis to recover data. Before hiding the data in an image the application first encrypts it. Keywords— RSA algorithm, cryptography, steganography, LSB method I. INTRODUCTION The growing use of Internet among public masses and availability of public and private digital data and its sharing has driven industry professionals and researchers to pay a particular attention to information security. Internet users frequently need to store, send, or receive private information and this private information needs to be protected against unauthorized access and attacks. Presently, three main methods of information security being used: watermarking, cryptography and steganography. In watermarking, data are hidden to convey some information about the cover medium such as ownership and copyright.
    [Show full text]
  • JPEG Versus GIF Images in Forms of LSB Steganography JPEG Versus
    IJCSN International Journal of Computer Science and Network, Volume 2, Issue 6, December 2013 ISSN (Online) : 2277-5420 www.IJCSN.org 86 JPEG versus GIF Images in forms of LSB Steganography 1 ELTYEB E. ABED ELGABAR, 2 FAKHRELDEEN A. MOHAMMED 1, 2 Information Technology, College of Computer Science and Information Technology - Khulais, King Abdul Aziz University, Jeddah, Khulais, Saudi Arabia Abstract - Steganography (from Greek steganos, or "covered," message within another message called cover message and graphie, or "writing") is the hiding of undisclosed message such as text, image video and audio, so steganography can (such as text, image, audio and video) within an ordinary be seen as the complement of cryptography whose goal is message (such as text, image, audio and video) and the to hide the content of a message. extraction of it at its target (receiver). Steganography takes cryptography a step farther by hiding an encrypted Steganography message so that no one suspects it exists. This paper compares and analyses Least Significant Bit (LSB) algorithm using the cover object as an image with a focus on two types: JPEG and GIF. The comparison and analysis are done with deference Text Image Audio/video Protocol number of criteria (Robustness against statistical attacks, Invisibility, Steganalysis detection, Robustness against image manipulation, Efficient when amount of data reasonable, Fig1. Categories of Steganography Payload capacity, Unsuspicious files and Amount of embedded data) to understand their strengths and weaknesses. 1.1 Types of Steganography Keywords - Steganography, Steganographic, Least significant Steganography can be classified into various types bit (LSB), Lossless, lossy (General types) [30]: 1.
    [Show full text]
  • An Approach for Stego-Insider Detection Based on a Hybrid Nosql Database †
    Journal of Sensor and Actuator Networks Article An Approach for Stego-Insider Detection Based on a Hybrid NoSQL Database † Igor Kotenko 1,* , Andrey Krasov 2 , Igor Ushakov 2 and Konstantin Izrailov 1,2 1 St. Petersburg Federal Research Center of the Russian Academy of Sciences, 199178 St. Petersburg, Russia; [email protected] 2 Department of Secured Communication Systems, The Bonch-Bruevich State University of Telecommunications, 199178 St. Petersburg, Russia; [email protected] (A.K.); [email protected] (I.U.) * Correspondence: [email protected] † This paper is an extended version of the conference paper: Igor Kotenko, Andrey Krasov, Igor Ushakov and Konstantin Izrailov. Detection of Stego-Insiders in Corporate Networks Based on a Hybrid NoSQL Database Model. The 4th International Conference on Future Networks and Distributed Systems (ICFNDS 2020). Saint-Petersburg, Russia, 26–27 November 2020. Abstract: One of the reasons for the implementation of information security threats in organizations is the insider activity of its employees. There is a big challenge to detect stego-insiders-employees who create stego-channels to secretly receive malicious information and transfer confidential information across the organization’s perimeter. Especially presently, with great popularity of wireless sensor networks (WSNs) and Internet of Things (IoT) devices, there is a big variety of information that could be gathered and processed by stego-insiders. Consequently, the problem arises of identifying such intruders and their transmission channels. The paper proposes an approach to solving this Citation: Kotenko, I.; Krasov, A.; problem. The paper provides a review of the related works in terms of insider models and methods Ushakov I.; Izrailov K.
    [Show full text]
  • Steganocnn: Image Steganography with Generalization Ability Based on Convolutional Neural Network
    entropy Article SteganoCNN: Image Steganography with Generalization Ability Based on Convolutional Neural Network Xintao Duan 1,* , Nao Liu 1 , Mengxiao Gou 1, Wenxin Wang 1 and Chuan Qin 2 1 College of Computer and Information Engineering, Henan Normal University, Xinxiang 453007, China; [email protected] (N.L.); [email protected] (M.G.); [email protected] (W.W.) 2 School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; [email protected] * Correspondence: [email protected] Received: 23 September 2020; Accepted: 6 October 2020; Published: 8 October 2020 Abstract: Image-to-image steganography is hiding one image in another image. However, hiding two secret images into one carrier image is a challenge today. The application of image steganography based on deep learning in real-life is relatively rare. In this paper, a new Steganography Convolution Neural Network (SteganoCNN) model is proposed, which solves the problem of two images embedded in a carrier image and can effectively reconstruct two secret images. SteganoCNN has two modules, an encoding network, and a decoding network, whereas the decoding network includes two extraction networks. First, the entire network is trained end-to-end, the encoding network automatically embeds the secret image into the carrier image, and the decoding network is used to reconstruct two different secret images. The experimental results show that the proposed steganography scheme has a maximum image payload capacity of 47.92 bits per pixel, and at the same time, it can effectively avoid the detection of steganalysis tools while keeping the stego-image undistorted.
    [Show full text]
  • International Spy Museum
    International Spy Museum Searchable Master Script, includes all sections and areas Area Location, ID, Description Labels, captions, and other explanatory text Area 1 – Museum Lobby M1.0.0.0 ΚΑΤΆΣΚΟΠΟΣ SPY SPION SPIJUN İSPİYON SZPIEG SPIA SPION ESPION ESPÍA ШПИОН Language of Espionage, printed on SCHPION MAJASUSI windows around entrance doors P1.1.0.0 Visitor Mission Statement For Your Eyes Only For Your Eyes Only Entry beyond this point is on a need-to-know basis. Who needs to know? All who would understand the world. All who would glimpse the unseen hands that touch our lives. You will learn the secrets of tradecraft – the tools and techniques that influence battles and sway governments. You will uncover extraordinary stories hidden behind the headlines. You will meet men and women living by their wits, lurking in the shadows of world affairs. More important, however, are the people you will not meet. The most successful spies are the unknown spies who remain undetected. Our task is to judge their craft, not their politics – their skill, not their loyalty. Our mission is to understand these daring professionals and their fallen comrades, to recognize their ingenuity and imagination. Our goal is to see past their maze of mirrors and deception to understand their world of intrigue. Intelligence facts written on glass How old is spying? First record of spying: 1800 BC, clay tablet from Hammurabi regarding his spies. panel on left side of lobby First manual on spy tactics written: Over 2,000 years ago, Sun Tzu’s The Art of War. 6 video screens behind glass panel with facts and images.
    [Show full text]