Text-overlap comparison
This pair was found by matching on title alone (find_title_bucket_dupes.py) — the usual paragraph-embedding similarity search never generated a candidate for it at any threshold. The exhibits below are near-exact word-shingle matches instead — a multi-word verbatim run is the more convincing evidence of shared text than embedding similarity, with the matched span highlighted.
PAPER A
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communities and networks. In this module, we can have three types of users such as image owner, image users and image server. Image owner can be upload the image into system and image server stores the images in database. Image users use images which are shared by image owner. We can social network application as android application for image owner. Server page can be designed as .NET page. 4.2 UPLOAD IMAGE: The first stage of any sharing system is the image acquisition stage. In this module, we can upload various images such as natural images, face images and other images. Uploaded images can by any type and any size. In this module, specify the image as sensitive or non-sensitive image. Sensitive image is referred as personal image. Non-sensitive image can be referred as forwarded image. 4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text
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two types of users such as image owner and server provider. The person or organization that legally owns a cloud service is called image owner. The service owner can be the patients who are upload the images into cloud and the cloud provider that owns the storage within which the service resides. Service provider provides the storage space to the users. Storage space can be shared by multiple data owners. Image users can be considered as doctors to view the files 4.2 UPLOAD IMAGE: The first stage of any sharing system is the image acquisition stage. After the image has been obtained, various methods of processing can be applied to the image to perform the many different vision tasks required today. However, if the image has not been acquired satisfactorily then the intended tasks may not be achievable, even with the aid of some form of image enhancement. The basic two-dimensional image is a monochrome (greyscale) image which has been digitized. Describe image as a two-dimensional image at that point. In this module, we can upload various images such as natural images, face images and other images. Uploaded images can by any type and any size.
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communities and networks. In this module, we can have three types of users such as image owner, image users and image server. Image owner can be upload the image into system and image server stores the images in database. Image users use images which are shared by image owner. We can social network application as android application for image owner. Server page can be designed as .NET page. 4.2 UPLOAD IMAGE: The first stage of any sharing system is the image acquisition stage. In this module, we can upload various images such as natural images, face images and other images. Uploaded images can by any type and any size. In this module, specify the image as sensitive or non-sensitive image. Sensitive image is referred as personal image. Non-sensitive image can be referred as forwarded image. 4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text into images. Watermarking ensures authenticating ownership, protecting hidden information, prevents unauthorized copying and distribution of images over
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acquisition stage. After the image has been obtained, various methods of processing can be applied to the image to perform the many different vision tasks required today. However, if the image has not been acquired satisfactorily then the intended tasks may not be achievable, even with the aid of some form of image enhancement. The basic two-dimensional image is a monochrome (greyscale) image which has been digitized. Describe image as a two-dimensional image at that point. In this module, we can upload various images such as natural images, face images and other images. Uploaded images can by any type and any size. 4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text into images. Digital media can be stored efficiently and can be manipulated very easily using computers, resulting in various security issues. The problem of protecting the copyright of digital media can be solved by digital watermark. Digital watermarking is a concept of
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Server page can be designed as .NET page. 4.2 UPLOAD IMAGE: The first stage of any sharing system is the image acquisition stage. In this module, we can upload various images such as natural images, face images and other images. Uploaded images can by any type and any size. In this module, specify the image as sensitive or non-sensitive image. Sensitive image is referred as personal image. Non-sensitive image can be referred as forwarded image. 4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text into images. Watermarking ensures authenticating ownership, protecting hidden information, prevents unauthorized copying and distribution of images over the internet and ensures that a digital picture has not been altered. We can implement Discrete Wavelet Transform (DWT) domain image watermarking system for real time image. In the embedding process, the watermark may be encoded into the cover image using a specific location. This location values is used to protect the images. The output of the embedding process, the watermarked image, is then transmitted
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acquired satisfactorily then the intended tasks may not be achievable, even with the aid of some form of image enhancement. The basic two-dimensional image is a monochrome (greyscale) image which has been digitized. Describe image as a two-dimensional image at that point. In this module, we can upload various images such as natural images, face images and other images. Uploaded images can by any type and any size. 4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text into images. Digital media can be stored efficiently and can be manipulated very easily using computers, resulting in various security issues. The problem of protecting the copyright of digital media can be solved by digital watermark. Digital watermarking is a concept of hiding ownership data into the multimedia data, which can be extracted later on to prove the authenticated owner of the media. Watermarking ensures authenticating ownership, protecting hidden
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and other images. Uploaded images can by any type and any size. In this module, specify the image as sensitive or non-sensitive image. Sensitive image is referred as personal image. Non-sensitive image can be referred as forwarded image. 4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text into images. Watermarking ensures authenticating ownership, protecting hidden information, prevents unauthorized copying and distribution of images over the internet and ensures that a digital picture has not been altered. We can implement Discrete Wavelet Transform (DWT) domain image watermarking system for real time image. In the embedding process, the watermark may be encoded into the cover image using a specific location. This location values is used to protect the images. The output of the embedding process, the watermarked image, is then transmitted to the OSN home page. 4.4 PRIVACY SETTINGS: Each user images are first categorized into privacy policy. Then privacy policies of each images can be categorized and analyzed for predict the policy. So
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4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text into images. Digital media can be stored efficiently and can be manipulated very easily using computers, resulting in various security issues. The problem of protecting the copyright of digital media can be solved by digital watermark. Digital watermarking is a concept of hiding ownership data into the multimedia data, which can be extracted later on to prove the authenticated owner of the media. Watermarking ensures authenticating ownership, protecting hidden information, prevents unauthorized copying and distribution of images over the internet and ensures Volume 5, Issue 5, September-October-2019 | http://ijsrcseit.com B. Ananthapraba et al Int J Sci Res CSE & IT, September-October-2019; 5(5) : 235-248 244 that a digital picture has not been altered. We can implement Discrete Wavelet Transform (DWT) domain image watermarking system for real time image. In the embedding process, the watermark may be encoded into the cover image using a specific location. This location values is used to protect the
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referred as personal image. Non-sensitive image can be referred as forwarded image. 4.3 EMBED THE WATERMARK: In this module, we can embed the watermark text into images. Watermarking ensures authenticating ownership, protecting hidden information, prevents unauthorized copying and distribution of images over the internet and ensures that a digital picture has not been altered. We can implement Discrete Wavelet Transform (DWT) domain image watermarking system for real time image. In the embedding process, the watermark may be encoded into the cover image using a specific location. This location values is used to protect the images. The output of the embedding process, the watermarked image, is then transmitted to the OSN home page. 4.4 PRIVACY SETTINGS: Each user images are first categorized into privacy policy. Then privacy policies of each images can be categorized and analyzed for predict the policy. So we adopting two stages approach for policy recommendation than applying the common one- stage data mining approaches to mine both image features and policies together. The two-stage approach allows the system to employ the first stage to classify the policy as with privacy or without privacy. In the second stage, we can set without privacy means, prefer the user list details. 4.5 PROTECTION SYSTEM: In this module, we can set the protection or blocking system to avoid third party aces without knowledge of image owners. This module is used to set the image with privacy. If user set with privacy settings means, all users are considered as third parties. Based on this setting, unauthorized user only views the image and can’t be used. If he downloads means, only get water mark values. Finally provide hardware control system such as screenshot controls. Then disable the screenshot options. Device controls values are Volume 5, Issue 3, May-June -2019 | http://ijsrcseit.com P. Ponvasan, M. Muthusangari Int J Sci Res CSE & IT. May-June-2019 ; 5(2) : 110-120 117 extracted and to provide coding implementation to disable the coding at the time protection. We can implement this concept in all browsers. The proposed block diagram is shown in fig 2.
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hiding ownership data into the multimedia data, which can be extracted later on to prove the authenticated owner of the media. Watermarking ensures authenticating ownership, protecting hidden information, prevents unauthorized copying and distribution of images over the internet and ensures Volume 5, Issue 5, September-October-2019 | http://ijsrcseit.com B. Ananthapraba et al Int J Sci Res CSE & IT, September-October-2019; 5(5) : 235-248 244 that a digital picture has not been altered. We can implement Discrete Wavelet Transform (DWT) domain image watermarking system for real time image. In the embedding process, the watermark may be encoded into the cover image using a specific location. This location values is used to protect the images. The output of the embedding process, the watermarked image, is then transmitted to the OSN home page. 4.4 PRIVACY SETTINGS: Each user images are first categorized into privacy policy. Then privacy policies of each images can be categorized and analyzed for predict the policy. So we adopting two stages approach for policy recommendation than applying the common one- stage data mining approaches to mine both image features and policies together. The two-stage approach allows the system to employ the first stage to classify the policy as with privacy or without privacy. In the second stage, we can set without privacy means, prefer the user list details. 4.5 PROTECTION SYSTEM: In this module, we can set the protection or blocking system to avoid third party aces without knowledge of image owners. This module is used to set the image with privacy. If user set with privacy settings means, all users are considered as third parties. Based on this setting, unauthorized user only views the image and can’t be used. If he downloads means, only get water mark values. Finally provide hardware control system such as mouse controls and keyboard controls. Then disable the mouse operations and system print screen options. Mouse code and print screen controls values are extracted and to provide coding implementation to disable the coding as false settings. We can implement this concept in all browsers and to implement in all images which are shared by social users. V. EXPERIMENTAL RESULTS
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can’t be used. If he downloads means, only get water mark values. Finally provide hardware control system such as screenshot controls. Then disable the screenshot options. Device controls values are Volume 5, Issue 3, May-June -2019 | http://ijsrcseit.com P. Ponvasan, M. Muthusangari Int J Sci Res CSE & IT. May-June-2019 ; 5(2) : 110-120 117 extracted and to provide coding implementation to disable the coding at the time protection. We can implement this concept in all browsers. The proposed block diagram is shown in fig 2. Fig 2: Block Diagram 4.6 DISCRETE WAVELET TRANSFORM: Discrete Wavelet transform (DWT) is a mathematical tool for hierarchical decomposition of an image. The transformation is based on decomposing a signal into wavelets or small waves, having varying frequency and limited duration. The properties of wavelet decompose an original signal into wavelet transform coefficients which contains the position information.
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with privacy. If user set with privacy settings means, all users are considered as third parties. Based on this setting, unauthorized user only views the image and can’t be used. If he downloads means, only get water mark values. Finally provide hardware control system such as mouse controls and keyboard controls. Then disable the mouse operations and system print screen options. Mouse code and print screen controls values are extracted and to provide coding implementation to disable the coding as false settings. We can implement this concept in all browsers and to implement in all images which are shared by social users. V. EXPERIMENTAL RESULTS Properties for an efficient watermarking system are application dependent; one of the challenges in this area is that these properties compete with each other. None of the digital watermarking techniques have yet to meet all of these properties. Robustness. Digital images commonly are subject to many types of distortions, such as filtering, resizing,
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P. Ponvasan, M. Muthusangari Int J Sci Res CSE & IT. May-June-2019 ; 5(2) : 110-120 119 Then provide the permission to access the social network and shown in fig 5. Fig 5: Permission to download Then without permission, user only get watermark only can be shown in fig 6. Fig 6: Without Permission Fig 7: Notification details Fig 8: With privacy download From the above figures, we can provide privacy to images, comments and tags. We can also implement in groups. VI. CONCLUSION The appearance of well-known online social networking has triggered within the compromise of conventional notions of privateness, certainly in visual media. With a view to facilitate useful and privateness across famous OSNs. The digital watermarking approach based fully on DWT coefficients modification for social networking offerings has been presented on this paper. In the embedding manner, the coefficients in LL sub-band had been used to embed watermark. Within the extraction process, normal coefficient prediction based on imply clear out is used to boom the accuracy of the extracted watermark. On extending the
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the SNR when all pixel values are equal to the maximum possible value. ALGORITHM PSNR VALUE LSB BASED BIT SELECTION 60.12 MSB BASED BIT SELECTION 61.15 DWT ALGORITHM 70.18 TABLE 1. PSNR COMPARISON FIG 16. PSNR Comparison From the above table and chart, proposed DWT algorithm can be provide high PSNR than the existing algorithms. VI. CONCLUSION The appearance of well-known secure storage systems has triggered within the compromise of conventional notions of privateness, certainly in visual media. With MSB BASED BIT SELECTION DWT ALGORITHM Volume 5, Issue 5, September-October-2019 | http://ijsrcseit.com B. Ananthapraba et al Int J Sci Res CSE & IT, September-October-2019; 5(5) : 235-248 248 storage. The digital watermarking approach based fully on DWT coefficients modification for social networking offerings has been presented on this paper. In the embedding manner, the coefficients in LL sub-
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Fig 8: With privacy download From the above figures, we can provide privacy to images, comments and tags. We can also implement in groups. VI. CONCLUSION The appearance of well-known online social networking has triggered within the compromise of conventional notions of privateness, certainly in visual media. With a view to facilitate useful and privateness across famous OSNs. The digital watermarking approach based fully on DWT coefficients modification for social networking offerings has been presented on this paper. In the embedding manner, the coefficients in LL sub-band had been used to embed watermark. Within the extraction process, normal coefficient prediction based on imply clear out is used to boom the accuracy of the extracted watermark. On extending the Machine Learning (ML) text categorization techniques to automatically assign with each short text message a set of categories based on its content. Then exploiting a flexible language to specify Filtering Rules (FRs), by which users can state what contents, should not be displayed on their walls. FRs can support a variety of different filtering criteria
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algorithms. VI. CONCLUSION The appearance of well-known secure storage systems has triggered within the compromise of conventional notions of privateness, certainly in visual media. With MSB BASED BIT SELECTION DWT ALGORITHM Volume 5, Issue 5, September-October-2019 | http://ijsrcseit.com B. Ananthapraba et al Int J Sci Res CSE & IT, September-October-2019; 5(5) : 235-248 248 storage. The digital watermarking approach based fully on DWT coefficients modification for social networking offerings has been presented on this paper. In the embedding manner, the coefficients in LL sub- band had been used to embed watermark. Within the extraction process, normal coefficient prediction based on imply clear out is used to boom the accuracy of the extracted watermark. We advocated that, as a complement to the actual security tools, watermarking can raise up the security level of information system
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The appearance of well-known online social networking has triggered within the compromise of conventional notions of privateness, certainly in visual media. With a view to facilitate useful and privateness across famous OSNs. The digital watermarking approach based fully on DWT coefficients modification for social networking offerings has been presented on this paper. In the embedding manner, the coefficients in LL sub-band had been used to embed watermark. Within the extraction process, normal coefficient prediction based on imply clear out is used to boom the accuracy of the extracted watermark. On extending the Machine Learning (ML) text categorization techniques to automatically assign with each short text message a set of categories based on its content. Then exploiting a flexible language to specify Filtering Rules (FRs), by which users can state what contents, should not be displayed on their walls. FRs can support a variety of different filtering criteria
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MSB BASED BIT SELECTION DWT ALGORITHM Volume 5, Issue 5, September-October-2019 | http://ijsrcseit.com B. Ananthapraba et al Int J Sci Res CSE & IT, September-October-2019; 5(5) : 235-248 248 storage. The digital watermarking approach based fully on DWT coefficients modification for social networking offerings has been presented on this paper. In the embedding manner, the coefficients in LL sub- band had been used to embed watermark. Within the extraction process, normal coefficient prediction based on imply clear out is used to boom the accuracy of the extracted watermark. We advocated that, as a complement to the actual security tools, watermarking can raise up the security level of information system by detecting system failure, manipulation errors, virus and malicious actions. It provides an ultimate guarantee of authentication that no other protection may ensure. VII. REFERENCES [1]. H. Cheng, X. Zhang, J. Yu, and F. Li, "Markov process based retrieval for encrypted jpeg images," in Proc. of 10th International Conference on Availability, Reliability and
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Wang, “Topic and role discovery in social networks,” in Proc. 19th Int. Joint Conf. Artif. Intell., 2005, pp. 786–791. [4]. L. Fu, W. Huang, X. Gan, F. Yang, and X. Wang, “Capacity of wireless networks with social characteristics,” IEEE Trans. Wireless Commun., vol. 15, pp. 1505–1516, Feb. 2016. [5]. A. Montanari and A. Saberi, “The spread of innovations in social networks,” in Proc. National Academy of Sciences of the United States of America PNAS, Aug. 2010, pp. 20 196–202 [6]. D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” in Advances in CryptologyEurocrypt. Springer, 2004, pp. 506–522. [7]. D. X. Song, D. Wagner, and A. Perrig, “Practical techniques for searches on encrypted data,” in Proc. of IEEE Symposium on Security and Privacy. IEEE, 2000, pp. 44–55. [8]. E.-J. Goh et al., “Secure indexes.” IACR Cryptology ePrint Archive, vol. 2003, p. 216, 2003. [9]. R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky, “Searchable symmetric encryption: improved definitions and efficient constructions,” in Proc. of 13th ACM conference on Computer and communications security. ACM, 2006, pp. 79–88. [10]. J. Shen, H. Tan, J. Wang, J. Wang, and S. Lee, “A novel routing protocol providing good transmission reliability in underwater sensor networks,” Journal of Internet Technology, vol. 16, no. 1, pp. 171–178, 2015. Cite this article as : P. Ponvasan, M. Muthusangari, "Img-Shelter : Privacy Protection of Images In Online Social Networks Using Watermarking Scheme", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5 Issue 3, pp. 110-120, May-June 2019. Available at
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Journal, vol. 54, no. 10, pp. 1661-1674, 2011. [4]. T. Bianchi and A. Piva, "Secure watermarking for multimedia content protection: A review of its benefits and open issues," IEEE Signal Processing Magazine, vol. 30, no. 2, pp. 87-96, 2013. [5]. A. Piva, T. Bianchi, and A. De Rosa, "Secure client-side st-dm watermark embedding," Information Forensics and Security, IEEE Transactions on, vol. 5, no. 1, pp. 13-26, 2010. [6]. D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, "Public key encryption with keyword search," in Advances in Cryptology-Eurocrypt. Springer, 2004, pp. 506-522. [7]. D. X. Song, D. Wagner, and A. Perrig, "Practical techniques for searches on encrypted data," in Proc. of IEEE Symposium on Security and Privacy. IEEE, 2000, pp. 44-55. [8]. E.-J. Goh et al., "Secure indexes." IACR Cryptology ePrint Archive, vol. 2003, p. 216, 2003. [9]. R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky, "Searchable symmetric encryption: improved definitions and efficient constructions," in Proc. of 13th ACM conference on Computer and communications security. ACM, 2006, pp. 79-88. [10]. J. Shen, H. Tan, J. Wang, J. Wang, and S. Lee, "A novel routing protocol providing good transmission reliability in underwater sensor networks," Journal of Internet Technology, vol. 16, no. 1, pp. 171-178, 2015. Cite this article as : B. Ananthapraba, K. Thyagarajan, "Medical Image Privacy Using Watermarking Techniques", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5 Issue 5, pp. 235-248, September-October 2019. Available at doi : https://doi.org/10.32628/CSEIT195533 Journal URL : http://ijsrcseit.com/CSEIT195533
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constructions,” in Proc. of 13th ACM conference on Computer and communications security. ACM, 2006, pp. 79–88. [10]. J. Shen, H. Tan, J. Wang, J. Wang, and S. Lee, “A novel routing protocol providing good transmission reliability in underwater sensor networks,” Journal of Internet Technology, vol. 16, no. 1, pp. 171–178, 2015. Cite this article as : P. Ponvasan, M. Muthusangari, "Img-Shelter : Privacy Protection of Images In Online Social Networks Using Watermarking Scheme", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5 Issue 3, pp. 110-120, May-June 2019. Available at
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Ostrovsky, "Searchable symmetric encryption: improved definitions and efficient constructions," in Proc. of 13th ACM conference on Computer and communications security. ACM, 2006, pp. 79-88. [10]. J. Shen, H. Tan, J. Wang, J. Wang, and S. Lee, "A novel routing protocol providing good transmission reliability in underwater sensor networks," Journal of Internet Technology, vol. 16, no. 1, pp. 171-178, 2015. Cite this article as : B. Ananthapraba, K. Thyagarajan, "Medical Image Privacy Using Watermarking Techniques", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5 Issue 5, pp. 235-248, September-October 2019. Available at doi : https://doi.org/10.32628/CSEIT195533 Journal URL : http://ijsrcseit.com/CSEIT195533