LSB Based Stegnography to Enhance the Security of an Image

LSB Based Stegnography to Enhance the Security of an Image

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  International Journal ofTrend in Scientific Research and Development (IJTSRD) Volume: 3 | Issue: 4 | May-Jun 2019 Available Online: www.ijtsrd.com e-ISSN: 2456 - 6470 @ IJTSRD | Unique Paper ID – IJTSRD25163 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1480 LSB Based Stegnography to Enhance the Security of an Image Naveen Verma1, Preeti Sondhi2, Gargi Kalia2 1M.Tech Student, 2Faculty 1,2Computer Science and Engineering, Universal Institute of Engineering and Technology, Lalru, Punjab, India How to cite this paper: Naveen Verma | Preeti Sondhi | Gargi Kalia "LSB Based StegnographytoEnhancetheSecurityof an Image" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456- 6470, Volume-3 | Issue-4, June 2019, pp.1480-1484, URL: https://www.ijtsrd.c om/papers/ijtsrd25 163.pdf Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/ by/4.0) ABSTRACT Steganography is the technique of hiding a secret message or information in a cover message like an image, text or sound in such a way that only thedesired or intended recipient knows about the existence of thesecretdata.Itcan bedefined as the study of invisible communication which usually deals with the technique of hiding the existence of the secret message. The hidden message may be in the form of text, image, audio and video etc. An image after inserting the secret message into it by using a stego-key is known as a stego-image. Nowadays steganography is important due to an exponential growth in secret communication by potential computer users over the internet. In this paper we have analyzed the varioussteganographytechniquesand proposetoenhancethe security of the secret message by random selection of the keys to extract the secret message and working towards increasing the PSNR (Peak Signal to Noise Ratio) and decreasing the MSE (Mean Square Error). Keywords: steganography; data hiding; stegoimage;stego-image;LSB;encryption 1. Introduction In recent trends in the world, the communication is an indispensable need of every growing area. Everyone wants the confidentiality and safety of their communicating data. The network security is becoming indispensable as the volume of data being exchanged over the Internet is escalating day by day. The two important techniques for providing security to information or data being shared are cryptography and steganography. Both are well known and widely used methods in information security. In a large number of applications, it is desirable that the secracy of the communicated data or information is maintained. Such secret communication ranges from the apparent cases of bank transfers,corporatecommunications, and credit card purchases, on down to a large percentage of everyday email. Steganography is an ancient art of embedding a secret message (data embedding) [4] into a seemingly benign message. Most of the newer applications use steganography, for instance, a watermark to protect a copy right on information. The forms of steganography vary, but unsurprisingly, benign spam messages are turning up more often containing embedded text. Steganography [1,11] word originated from Greek words Steganos (Covered) and Graptos (Writing) which literally means cover writing. Generally, steganography is knownassecretcommunication. Steganography means to hide message’sexistenceinanother medium (audio, video, image, communication). Today’s steganography systems use multimedia objects like image, audio, video etcascovermediabecausepeopleoftentransmit digital images over email or share them through other internet communication mediums. It is different from protecting the actual content of a message in a way which hides a message into another message. Fig. 1. A Generalized steganographic framework 2. Types and applications of Steganography Image Steganography is the technique of steganography in which an image is taken as cover object. This steganography is known as image steganography. Generally, in this technique the LSB (Least Significant Bit) [8,9] of the image pixel value is manipulated to hide the message. Video Steganography is a technique to hide a secret message or secret information intodigitalvideoformat.Videowhichis a combination of picture frames is used as a carrierfor secret information. Generally Discrete Cosine Transform (DCT) which alters the values, for instance,8.667to9isusedtohide the secret information in each of the images in the video, which cannot be detected by the human eye. Video steganography uses formats such as H.264, MP4 (Motion Picture 4), MPEG (MovingPictureExpertsGroup),AVI(Audio Video Interleave) or other video formats. AudioSteganography is a typeof steganography inwhichthe audiomessage is taken as a carrierfortransmittingthesecret IJTSRD25163
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  International Journal ofTrend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25163 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1481 information over a communication channel. It has emergeda remarkable medium due to the popularity of VOIP (Voice Over Internet Protocol). Audio steganography uses digital audio formats such as WAVE (Waveform Audio file), MIDI (Musical Instrument Digital Interface), AVI and MPEG etc for steganography. Text Steganography is the technique of steganography in which the information is hidden in a text message, for instance, if the information text is hidden in HTML (Hyper Text Markup Language) coding of a web pages, it makes the detection of secret information almost impractical because theweb pages are thebasicbuildingblocksofthewebsiteson the internet. There are various applications of Steganography like confidential communication and secret data storing, protection of data alteration, access controlsystemfordigital content distribution and media Database systems. 3. Techniques used in Steganography Depending on the type of the cover object there are many suitable steganographic techniques which are followed in order to obtain security. The terminologies used in Steganography are mentioned in the following paragraph. Cover Message is the carrier of the message such as image, video, audio, text or someother digital media.Covermessage is also called the Cover image or Cover work. Secret Message is the information which is needed to be hidden in the cover message. SecretKeyis used to embed thesecretmessagedependingon the hiding algorithm. Secret key is also called as Stego key or encryption/decryption key. Stego Message is the message after embedding the secret message into the cover message. Stegomessage is also called the stego-image, stego-work, stego-object or steganogram. Classical LSB Algorithm Image is composed of pixelswhich is a light intensityandthis light intensity is a number. So an image is an array utilizing 256 colors (common images) having different pixel values at different locations. Digital images are typically stored in either 24-bit or 8-bit per pixel. A 24-bit image is sometimes known as true color image.Thisisobviousthata24-bitimage provides more space for hiding information; however,24-bit images are generally large and not that common. A 24-bit image 1024 pixels wide by 768 pixels high would have a size of about2 megabytes. Such large files would attractattention when they would be transmitted across a network or the Internet.Generally, 8 bit images areused tohideinformation such as GIF files represented as a single byte for each pixel. Now, each pixel can correspond to 256 colors. It can be said that pixel value ranges from 0 to 255 and the selected pixels indicates certain colors on the screen. The technique for classical least significantbit implies the replacementofLSB’s of cover images with secret message data in order to hide information by altering cover image. Since LSB is replaced there is no significant effect on cover image and hence intended user will not get the idea that some message is hidden under the image. Here given a example to show LSB replacement to hide letter ‘A’ behind the cover image. Cover Image bits 00100111 11101001 11001000 00100111 11001000 11101001 11001000 00100111 Message Image: 10000001 Steganographed Image 00100111 11101000 11001000 00100110 11001000 11101000 11001000 00100111 The bold bits represent the changed bits. LSB substitution requires on an average that only half the bits in an image be changed. The disadvantages included in the LSB approach isthesizeof cover image required for a particular message image that is for a certain capacity of message cover image required is 8 times thus increasing the bandwidth to send the image. Another bigdisadvantage is that if an eavesdropper suspects that some secret data is hidden behind the cover image, he can easily extract that secret message by just collecting LSBs of stego image. Inverted Bit LSB Substitution Nadeem Akhtar et. al. proposed a scheme in which PSNR [4,13] of the stego image has increased and also security is maintained by selecting pixels randomly. In this technique the message bits are embedded in the cover image pixels randomlyand a count with respect to the combination ofbits at 2nd and 3rd bits of the pixel is maintained. Suppose 2nd and 3rd bits of a pixel are 01.If the LSB of image matches this counter is incremented for not changed pixel else counter is incremented for changed bits, same is performed for all the combinations (00, 01, 10, and 11). Example: Four message bits 1 0 0 0 are to be hidden into four cover image pixels 10000100 00101101 11101101 11101111 After plain LSB steganography [8], stegoimage pixels are 10000101 00101100 11101100 11101110 No. of changed pixels is four. According to algorithm check the 2nd and 3rd Least significant bit of the stego- image.For example let 2nd pixel=0 and 3rd pixel=1.Now if the 2nd and 3rd bit of pixel matches the requiredcombinationthaninvert the LSB else it will remain the same.Thus if we applied this case to above example than the pixels in the stego image will be 10000100 00101101 11101101 11101110 No. of changed pixel is one, so by employing this technique there will be increase in the PSNR. Same process will be performed for all the bit combinations. The bit inversion is performed only if the changed bits count is greater than unchanged bits count thus leading to less distortion of the cover image and leading to increased PSNR.
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  International Journal ofTrend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25163 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1482 4. Related work Akhtar et al [1] Nadeem Akhtar et al have implemented steganography for images, with an improvement in both security and image quality. The quality of the stego-image is improved by using bit-inversiontechnique.In thistechnique, certain least significant bits of cover imageareinverted after plain LSB steganography which co-occurswithsomepattern of other bits and thus reduce the number of modified LSBs. Therefore, a lesser number of LSBs of the cover image are altered in comparison to plain LSB method, thereby, improving the PSNR of stegoimage. By storing the bit patterns for which LSBs are inverted, message image can be obtained correctly.This technique uses RC4 algorithm to improve the robustness of steganography. The purpose of RC4 algorithm is to achieve the randomization in hiding message image bits into cover imagepixelsinsteadofstoring them sequentially. Sharma and Upadhaya et al [2] The authors have given overview of different steganographic techniques, its major types and classification of steganography which have been proposed in the literature during last few years. They have critically analysed different proposed techniques which show that visual quality of the image degrades when the hidden data increases up to a threshold limit using Least Significant Bit (LSB) based methods. Latika and Gulati et al [3] The authors have given an understandingofcryptographyand steganographyconcepts. In addition to this they have given an review of the research and developments in the field of steganography along with the various steganography techniques. Their work also provides the suggestion regarding the future researches in the field of steganography. Champakamala et al [4] The authors has given a technique for using the hardware or electronics in image steganography. They have demonstrated that embedding secret information inside images requires thorough and in- depth computations and therefore,designingSteganography in hardware speeds up Steganography. Bhardwaj and Sharma et al [5] In thispapertheauthors have provided three layers of security. Rrather than hiding the message bits directly in cover image, pixels are generated randomly through a pseudo random number generator and after that secret data is hidden behind a cover image using inverted LSB method. Their experimental study points out that the proposed system is better than basic LSB method in terms of higher visual quality which is indicated by the high PSNR values. Arya [6] In this paper author has proposed improved LSB substitution method for hiding secret image informationfile into a color image. Many different carrier file formats can be used for instance, bitmap, jpeg and PNG to prove that this technique is suitable for these formats. The authors have intended the performance evaluation of secrete image steganography techniques using LSB method for data and image security, its comparison on different size and image format (.bmp; .jpg; .png) and calculation of performance parameters like PSNR and MSE for analysing the payload capacity. Mustafa et al [7] In this paper the authors have provided a series of enhancements and argued that the proposed method fixed the weakness of Simple LSB image steganography method. The proposed method combines six fundamental improvements, specifically: CRC-32 checksum, Gzip compression, AES encryption, header information, pseudo-random pixel selection technique based on the Fisher-Yates Shuffle algorithm and 8 bpp embedding algorithm. Ansari [8] The author has presented the comparative study and performance analysis of different image steganography techniques using various types of cover media ((like BMP/JPEG/PNG etc.) with the discussion of their file formats. 5. Proposed Work The aim of the dissertation is to enhance the security of the stegno image which is obtained by using the LSB substitution. The problem with simple LSB technique is that if the pixels are chosen sequentially then the attacker may extract the secret message on suspicion. Here we present a LSB based steganography method which is more secure and robust than the plain LSB method. The security of the hidden messagehasbeen enhanced byusinga random key while extracting the secret message. In other words the message can only be extracted if the random key matches the value and only the recepient knows these values. This method enhances the security of the message because in no way the attacker can have information about the random key values. 6. Result and discussion First of all the cover image is taken in which we have to hide the message. For instance, first take pout.tif image and perform steganography and thenweperformsteganography on football.jpg. The values of PSNR and MSE are calculated thereafter. 1. Read cover image pout.tif The image pout.tif is taken as a cover image for hiding the message image. Pout.tif Embed message image Message.bmp
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  International Journal ofTrend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25163 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1483 Stegno Image Stegano Image Recovered message Recovered message 2. Read Cover Image football.jpg football.jpg Embed Message Image Message.bmp Stegno Image Stegano Image Recovered message Recovered message Error Metrics Image MSE PSNR Pout.tif 0.0050 82.2369 Football.jpg 0.0625 60.3412 PSNR (Peak Signal to Noise Ratio) PSNR is an engineering term for the ratiobetween the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation, because many signals have a very widedynamic range, PSNRis usuallyexpressedinterms of the logarithmicdecibel scale.PSNRismostcommonlyused to measure thequalityofreconstructionoflossycompression codecs. This ratio is often used as a quality measurement between the original and a compressed or reconstructed image. From the above two examples it can be inferred that obtained high PSNR indicates good quality re-construction. MSE is the average of the squares of the error or deviations, that is, the difference between the estimator and what is estimated. The MSE assesses the quality of an estimator or predictor. MSE is a risk function, corresponding to the Expected value of the squared error loss or quadratic loss. Logically, a low value of MSE means less error which in turn results in higher PSNR. From the examples above, it can be inferred that the MSE is less than 0.1 which indicates high quality re-construction.
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  International Journal ofTrend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD25163 | Volume – 3 | Issue – 4 | May-Jun 2019 Page: 1484 7. Conclusion Steganography is an effective way to hide sensitive information. In this paper we have used the LSB Technique on images to obtain secure stego-image. Our results indicate that the combination of LSB insertion and secure key gives the accurate result and high security as compare to simple LSB insertion. This thesis focuses on the approach like increasingthesecurityofthemessagealongwithmaintaining high PSNR and reducing the distortion rate indicating high quality re-construction. In future various filtering techniques can be applied to improve PSNR and MSE. References [1] S. A. Arshiya, “A Comparative Study of Recent Steganography Techniques for Multiple Image Formats“, I. J. Computer Network and Information Security, 2019. [2] R. Pooja, “Analysis of Image Steganographic Techniques“, International Journal of Computer Applications, ISSN 0975-8887, Volume 114 Issue 1 pp. 11-17, 2015. [3] A. Anupriya, “Performance Evaluationof SecreteImage Steganography Techniques Using Least Significant Bit (LSB) Method“, International Journal of Computer Science Trends and Technology (IJCST) Volume 6 Issue 2, Mar - Apr 2018. [4] C.K. Mustafa and E. Wisam, “New LSB-based colour image steganography method toenhancetheefficiency in payload capacity, security and integrity check“, Sadhana (Indian Academy of Sciences), 2018. [5] H. A. May, “An Efficient Image Cryptography using Hash-LSB Steganography with RC4 and Pixel Shuffling Encryption Algorithms“, Annual Conference on New Trends in Information and Communication Technology Applications (NTICT), 2017. [6] K.T. Anand et al, “Image Steganography on ColorImage using SVD and RSA with 2-1-4-LSB Technique“, International Conference on Computation of Power,Energy, Information and Communication (ICCPEIC), 2017. [7] S. V. Sylish, “Image Steganography in High Entropy Regions Using A Key and Modified LSB for Improved Security“, Proceedings of the IEEE 2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017. [8] B. Rupali and S. Vaishali, “Image Steganography Based on Complemented Message and Inverted bit LSB Substitution“ Procedia computer Science (ELSEVIER), 2016. [9] K. Ashadeep and K.Rakesh et al, “Review Paper on Image Steganography“ International Journal of Advanced Research in Computer Science and Software Engineering, 2016. [10] Latika and G. Yogita, “A Review of Steganography Research and Development“ International Journal of Advanced Research in Computer Science and Software Engineering, 2015. [11] S. Abha et al, “A Survey of Image Steganography Techniques“, International Journal of ComputerScience and Technology (IJCST), Volume 5, Issue 3, July - Sept 2014. [12] Champakamala and K. Padmini et al.,“ Least Significant Bit algorithm for image steganography“, International Journal of Advanced Computer Technology (IJACT). [13] A. Nadeem, “Enhancing the Security and Quality of LSB based Image Steganography“, 5th International Conference on Computational Intelligence and Communication Networks, 2013. [14] K. Zaidoon and A. Al , “Overview: Main Fundamentals for Steganography“, Journal of Computing, Volume 2, pp. 158-165, March 2010.