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For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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Secure reversible image data hiding over encrypted domain via key modulation
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3eprojects.com
Reversible Data Hiding in Encrypted Image: A Review
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted
images, since it maintains the excellent property that the original cover can be losslessly recovered
after embedded data is extracted while protecting the image content’s confidentiality. All previous
methods embed data by reversibly vacating room from the encrypted images, which may be subject
to some errors on data extraction and/or image restoration. In this survey paper, we discuss about
various methods and algorithms which were used for reversible data hiding (RDH) in encrypted
image to make data hiding process effortless. We also use visual cryptographic approach for
encryption which helps to protect the image during transmission. The scheme is suitable for
authentication based application where collective acceptance and decision making plays an important
role. The main goal is to retrieve the original image with lossless process and minimum computation
during image encryption /decryption by using keyless approach.
Lossless and reversible data hiding in encrypted images with public key crypt...
Lossless and reversible data hiding in encrypted images with public key cryptography
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Web : http://www.lemenizinfotech.com
Web : http://www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
separable reversible data hiding in encrypted image
This document proposes a method for separable reversible data hiding in encrypted images. The method uses different keys for image encryption and data hiding, allowing the data and original image to be retrieved independently. This improves on existing systems that use the same key for encryption and data hiding, allowing anyone with the key to access both the hidden data and original image. The proposed method encrypts images with an encryption key, then hides data in the encrypted images with a separate data hiding key. Receivers with the data hiding key can retrieve the hidden data, and receivers with the encryption key can retrieve the original image, without extracting the hidden data.
Scalable Image Encryption Based Lossless Image Compression
Present days processing of the image compression is the main protective representation with considerable data
process on each image progression. Traditionally more number of techniques were introduced for during
efficient progression in image compression on the data set representation process of application development. A
content owner encrypts the original uncompressed image using an encryption key. Then, a data hider may
compress the least significant bits of the encrypted image using a data hiding key to create a sparse space to
accommodate some additional data. With an encrypted image containing additional data, if a receiver has the
data hiding key, receiver can extract the additional data though receiver does not know the image content. If the
receiver has the encryption key, can decrypt the received data to obtain an image similar to the original one. If
the receiver has both the data hiding key and the encryption key, can extract the additional data and recover the
original content.\
REAL TIME DATA TRANSFER VIA VIDEO USING REVERSIBLE DATA HIDING TECHNIQUE
REAL TIME DATA TRANSFER VIA VIDEO USING REVERSIBLE DATA HIDING TECHNIQUEInternational Journal of Technical Research & Application
The protection of multimedia data is becoming very
important. The protection of this multimedia data can be done
with encryption or data hiding algorithms. To decrease
transmissions time the data transmission necessary.
Recently, more and more attention is paid to reversible data
hiding (RDH) in encrypted image. It maintains original area
could be perfectly restored after extraction of the hidden
message. In previous method embed data by reversibly vacating
area from the encrypted images, which may be subject to some
errors on data extraction and/or image restoration. A novel
method by reserving area before encryption with a traditional
RDH algorithm, and thus it is easy for the data hider to
reversibly embed data in the encrypted image. The proposed
method can achieve real reversibility, that is data extraction and
image recovery are free of any error. The hidden data can be
retrieved as and when required. The methods that are used in
reversible data hiding techniques like Lossless embedding and
encryption.
This deals with the image steganography as well as with the
different security issues, general overview of cryptography
approaches and about the different steganography
algorithms like Least Significant Bit (LSB) algorithm ,
JSteg, F5 algorithms. It also compares those algorithms in
means of speed, accuracy and security.Image Cryptography using Nearest Prime Pixels
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
www.softroniics.com
Data Hiding Techniques
This document discusses various techniques for hiding data in the Microsoft Windows operating system. It covers logical techniques like assigning hidden and system attributes, changing file extensions and icons. It also discusses more advanced techniques like using alternate data streams that allow hiding data in files, and using class identifiers (CLSIDs) meant for special folders for regular folders to disguise hidden data. The document provides an overview of the NTFS file system used by Windows and how its alternate data stream feature can be exploited for data hiding. It also recommends some tools that can be used to detect hidden data streams.
Recommended
Secure reversible image data hiding over encrypted domain via key modulation
I3E Technologies,
#23/A, 2nd Floor SKS Complex,
Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Mobile : 99436 99916, 99436 99926, 99436 99936
Mail ID: i3eprojectskarur@gmail.com
Web: www.i3eprojects.com
Reversible Data Hiding in Encrypted Image: A Review
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted
images, since it maintains the excellent property that the original cover can be losslessly recovered
after embedded data is extracted while protecting the image content’s confidentiality. All previous
methods embed data by reversibly vacating room from the encrypted images, which may be subject
to some errors on data extraction and/or image restoration. In this survey paper, we discuss about
various methods and algorithms which were used for reversible data hiding (RDH) in encrypted
image to make data hiding process effortless. We also use visual cryptographic approach for
encryption which helps to protect the image during transmission. The scheme is suitable for
authentication based application where collective acceptance and decision making plays an important
role. The main goal is to retrieve the original image with lossless process and minimum computation
during image encryption /decryption by using keyless approach.
Lossless and reversible data hiding in encrypted images with public key crypt...
Lossless and reversible data hiding in encrypted images with public key cryptography
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Web : http://www.lemenizinfotech.com
Web : http://www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Blog : http://ieeeprojectspondicherry.weebly.com
Blog : http://www.ieeeprojectsinpondicherry.blogspot.in/
Youtube:https://www.youtube.com/watch?v=eesBNUnKvws
separable reversible data hiding in encrypted image
This document proposes a method for separable reversible data hiding in encrypted images. The method uses different keys for image encryption and data hiding, allowing the data and original image to be retrieved independently. This improves on existing systems that use the same key for encryption and data hiding, allowing anyone with the key to access both the hidden data and original image. The proposed method encrypts images with an encryption key, then hides data in the encrypted images with a separate data hiding key. Receivers with the data hiding key can retrieve the hidden data, and receivers with the encryption key can retrieve the original image, without extracting the hidden data.
Scalable Image Encryption Based Lossless Image Compression
Present days processing of the image compression is the main protective representation with considerable data
process on each image progression. Traditionally more number of techniques were introduced for during
efficient progression in image compression on the data set representation process of application development. A
content owner encrypts the original uncompressed image using an encryption key. Then, a data hider may
compress the least significant bits of the encrypted image using a data hiding key to create a sparse space to
accommodate some additional data. With an encrypted image containing additional data, if a receiver has the
data hiding key, receiver can extract the additional data though receiver does not know the image content. If the
receiver has the encryption key, can decrypt the received data to obtain an image similar to the original one. If
the receiver has both the data hiding key and the encryption key, can extract the additional data and recover the
original content.\
REAL TIME DATA TRANSFER VIA VIDEO USING REVERSIBLE DATA HIDING TECHNIQUE
REAL TIME DATA TRANSFER VIA VIDEO USING REVERSIBLE DATA HIDING TECHNIQUEInternational Journal of Technical Research & Application
The protection of multimedia data is becoming very
important. The protection of this multimedia data can be done
with encryption or data hiding algorithms. To decrease
transmissions time the data transmission necessary.
Recently, more and more attention is paid to reversible data
hiding (RDH) in encrypted image. It maintains original area
could be perfectly restored after extraction of the hidden
message. In previous method embed data by reversibly vacating
area from the encrypted images, which may be subject to some
errors on data extraction and/or image restoration. A novel
method by reserving area before encryption with a traditional
RDH algorithm, and thus it is easy for the data hider to
reversibly embed data in the encrypted image. The proposed
method can achieve real reversibility, that is data extraction and
image recovery are free of any error. The hidden data can be
retrieved as and when required. The methods that are used in
reversible data hiding techniques like Lossless embedding and
encryption.
This deals with the image steganography as well as with the
different security issues, general overview of cryptography
approaches and about the different steganography
algorithms like Least Significant Bit (LSB) algorithm ,
JSteg, F5 algorithms. It also compares those algorithms in
means of speed, accuracy and security.Image Cryptography using Nearest Prime Pixels
At Softroniics we provide job oriented training for freshers in IT sector. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing, Mechanical, Automobile automation and many other. We are providing long term and short term internship also.
We are providing short term in industrial training, internship and inplant training for Btech/Bsc/MCA/MTech students. Attached is the list of Topics for Mechanical, Automobile and Mechatronics areas.
MD MANIKANDAN-9037291113,04954021113
softroniics@gmail.com
www.softroniics.com
Data Hiding Techniques
This document discusses various techniques for hiding data in the Microsoft Windows operating system. It covers logical techniques like assigning hidden and system attributes, changing file extensions and icons. It also discusses more advanced techniques like using alternate data streams that allow hiding data in files, and using class identifiers (CLSIDs) meant for special folders for regular folders to disguise hidden data. The document provides an overview of the NTFS file system used by Windows and how its alternate data stream feature can be exploited for data hiding. It also recommends some tools that can be used to detect hidden data streams.
Reversible data hiding in encrypted images by reserving room before encryption
The document proposes a novel reversible data hiding method called "reserving room before encryption" (RRBE). It reserves room in the original image prior to encryption using a traditional reversible data hiding algorithm. This allows easy embedding of data in the encrypted image without errors during extraction and recovery. Experiments show it can embed over 10 times more payload than previous methods like vacating room from encrypted images, for the same image quality. The key advantages are real reversibility without extraction or recovery errors, and improved image quality for a given payload or increased payload for acceptable quality.
Reversible data hiding in encrypted images by reserving room before encryption
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
Lossless and reversible data hiding in encrypted images with public key crypt...
Lossless and reversible data hiding in encrypted images with public key crypt...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Reversible Data Hiding in Encrypted color images by Reserving Room before Enc...
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Learnable Image Encryption
This document proposes a method called learnable image encryption that allows deep learning to be performed on encrypted images while protecting privacy. It works by applying weak block-wise encryption to images before training deep learning models. The models can still learn meaningful patterns from the encrypted images. This approach could help shopping malls analyze customer behavior from security camera footage or allow companies to develop AI systems using encrypted data without compromising privacy. The method achieves comparable accuracy to training on plain images while keeping the encrypted images unintelligible to humans. Code and details on the block-wise encryption and decryption algorithms are available online.
F1803063236
The document discusses hiding confidential text data within an encrypted image using reversible data hiding techniques. It begins by introducing the concepts of reversible data hiding and meaningful image encryption. The proposed method first encrypts an original image using AES to create a pre-encrypted image. It then applies discrete wavelet transform to the pre-encrypted image to transform it into a visually meaningful encrypted image. Finally, reversible data hiding is used to hide confidential text data within the meaningful encrypted image while still allowing lossless retrieval of both the image and hidden data. The method aims to provide effective data protection with low computational cost.
V5 i7 0169
The document summarizes key-aggregate cryptosystem (KAC), which allows efficient and flexible sharing of encrypted
data in cloud storage. KAC encrypts data under a public key and ciphertext class. The key owner can generate an
aggregate decryption key that decrypts any ciphertext whose class is contained in the key, while keeping a constant size.
This compact aggregate key can be shared to delegate decryption rights for a set of ciphertexts, without sharing individual
keys. KAC schemes aim to achieve constant-size ciphertexts, public keys, master secrets and aggregate keys to enable
flexible and efficient data sharing in cloud storage.
19_2
The document proposes a technique for securing data by hiding it within an image using reversible data hiding and additional encryption. Specifically:
1) Data is first hidden in an image using reversible data hiding to create a watermarked image.
2) The watermarked image is then encrypted using an elliptic curve cryptography (ECC) algorithm.
3) To provide an additional layer of security, the encrypted image is then converted to text format before transmission. This makes it difficult for hackers to determine if the transmitted data is an image or text.
4) At the receiving end, the text can be decrypted back into an image to extract the hidden data, while still allowing recovery of the original image without any loss or
DIP Using Image Encryption and XOR Operation Affine Transform
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Secured Reversible Data Hiding In Encrypted Images Using Hyper Chaos
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be losslessly recovered after embedded data is extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly vacating room from the encrypted images, which may be subject to some errors on data extraction and/or image restoration. Here a novel method is proposed by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image. Moreover data to be embedded is shuffled using a hyper chaotic function which is difficult to be extracted from the stego image without original key. A digital water mark is also embedded which ensures integrity of the data. The proposed method has been validated against three other available RDH schemes and it is observed that the proposed scheme outperforms these RDH schemes both in visual quality and payload. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any error.
Secure Data Sharing Using Compact Summation key in Hybrid Cloud Storage
This document proposes a new encryption scheme called compact summation key encryption for secure data sharing in hybrid cloud storage. It aims to address limitations of existing approaches like predefined hierarchical schemes, attribute-based encryption, and identity-based encryption which cannot provide security to individual files or have non-constant size keys. The new scheme uses five algorithms: setup, key generation, encryption, extraction and decryption. It generates constant size public and master secret keys. Encryption uses file indexes and bilinear groups to create ciphertexts. Extraction combines decryption keys into a single compact summation key using bilinear pairing operations. This key can then decrypt ciphertexts for multiple file indexes, improving flexibility and efficiency of secure data sharing in cloud storage.
C3 s
The document discusses combining cryptography and steganography techniques for secure communication. It proposes encrypting a message before hiding it in a digital object like an image file. This provides two layers of security since an extracted hidden message would still be encrypted. The document outlines the cryptography and steganography algorithms to be used, including AES encryption and least significant bit steganography with improvements like randomization and hashing.
DATA HIDING IMAGES USING SPREAD SPECTRUM IN CLOUD COMPUTING
DATA HIDING IMAGES USING SPREAD SPECTRUM IN CLOUD COMPUTINGInternational Journal of Technical Research & Application
1) The document proposes using spread spectrum image steganography (SSIS) to securely store data in the cloud by hiding data within digital images. SSIS spreads a message across a digital image as low-power noise to make the hidden data imperceptible.
2) When a user uploads data to the cloud, SSIS software would encrypt the data multiple times within an image. Even if hackers access the encrypted image, they cannot decrypt the data without knowing how many times the user encrypted it.
3) This provides double security by encrypting data within an image format and ensuring hackers cannot decrypt without the encryption key information known only to the authorized user.Why Encryption For The Cloud Is A Good Idea
The cloud refers to using computers owned by others over the internet to process and store data remotely. While a user's data is usually safe in the cloud, it is not completely private as data breaches or weaknesses in a provider's security policies could expose it. However, encrypting data makes it unviewable by anyone without the encryption key, allowing private data to safely exist in the cloud.
DATA HIDING IN ENCRYPTED H.264 VIDEO FORMAT
I-frames, P-frames, and B-frames are the three major picture types or frame types used in video compression algorithms. I-frames are fully specified frames that do not require other frames to decode but are the least compressible. P-frames store only the changes from previous frames and are more compressible than I-frames but require previous frames to decode. B-frames can use both previous and forward frames for reference and achieve the highest compression but require both previous and forward frames to decode. I-frames are used as random access points and references for decoding other frames.
Image Encryption in java ppt.
The document proposes a chaotic image encryption technique using Henon chaotic systems. It consists of two main steps: 1) Image fusion between the original image and a key image. 2) Encrypting the pixel values of the fused image using a Henon chaotic map. The technique aims to provide high security with less computational time compared to traditional encryption methods. Experimental results show the algorithm is sensitive to keys and resistant to brute force attacks. The technique can be used for applications like secure internet image transmission.
Machine Learning @ NECST
Machine Learning (ML) algorithms are gaining momentum as main components in a large number of fields, from computer vision and robotics to finance and biotechnology. However, many challenges need to be solved when Artificial Intelligence is applied to different settings, such as cloud computing or embedded systems. At the same time, the use of Field Programmable Gate Arrays (FPGAs) for data-intensive applications is increasingly widespread thanks to the possibility to customize hardware accelerators and achieve high-performance implementations with low energy consumption. This presentation is an overview of the ongoing ML-based projects that are developing at NECSTLab, the laboratory of hardware architectures and computer security of Politecnico di Milano.
Provenance based presentation on cloud computing security
This document summarizes Asif Imran's research presentation on developing an effective provenance model from system logs to improve cloud data forensics. The presentation discusses proposing research on this topic, existing provenance research works, and background on cloud provenance detection. It also describes the experimental environment involving OpenStack components that will be used to test provenance detection in the cloud. The overall goal is to derive a provenance model from system logs that can ensure improved management of cloud data forensics.
Image encryption using aes key expansion
The document provides an introduction to image encryption using AES key expansion. It discusses how traditional encryption techniques are not well-suited for encrypting large multimedia files like images due to their size and characteristics. The objective of the study is to develop an image encryption system that is computationally secure, fast enough for real-time use, and widely acceptable. It reviews related works in image encryption and discusses limitations of only using a 128-bit AES key. The document is organized into chapters covering cryptography fundamentals, image cryptosystems, AES algorithm details, an example of AES key expansion, and experimental analysis.
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Reversible data hiding in encrypted images by reserving room before encryption
The document proposes a novel reversible data hiding method called "reserving room before encryption" (RRBE). It reserves room in the original image prior to encryption using a traditional reversible data hiding algorithm. This allows easy embedding of data in the encrypted image without errors during extraction and recovery. Experiments show it can embed over 10 times more payload than previous methods like vacating room from encrypted images, for the same image quality. The key advantages are real reversibility without extraction or recovery errors, and improved image quality for a given payload or increased payload for acceptable quality.
Reversible data hiding in encrypted images by reserving room before encryption
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
Lossless and reversible data hiding in encrypted images with public key crypt...
Lossless and reversible data hiding in encrypted images with public key crypt...LogicMindtech Nologies
IMAGE PROCESSING Projects for M. Tech, IMAGE PROCESSING Projects in Vijayanagar, IMAGE PROCESSING Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, IMAGE PROCESSING IEEE projects in Bangalore, IEEE 2015 IMAGE PROCESSING Projects, MATLAB Image Processing Projects, MATLAB Image Processing Projects in Bangalore, MATLAB Image Processing Projects in Vijayangar
Reversible Data Hiding in Encrypted color images by Reserving Room before Enc...
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Learnable Image Encryption
This document proposes a method called learnable image encryption that allows deep learning to be performed on encrypted images while protecting privacy. It works by applying weak block-wise encryption to images before training deep learning models. The models can still learn meaningful patterns from the encrypted images. This approach could help shopping malls analyze customer behavior from security camera footage or allow companies to develop AI systems using encrypted data without compromising privacy. The method achieves comparable accuracy to training on plain images while keeping the encrypted images unintelligible to humans. Code and details on the block-wise encryption and decryption algorithms are available online.
F1803063236
The document discusses hiding confidential text data within an encrypted image using reversible data hiding techniques. It begins by introducing the concepts of reversible data hiding and meaningful image encryption. The proposed method first encrypts an original image using AES to create a pre-encrypted image. It then applies discrete wavelet transform to the pre-encrypted image to transform it into a visually meaningful encrypted image. Finally, reversible data hiding is used to hide confidential text data within the meaningful encrypted image while still allowing lossless retrieval of both the image and hidden data. The method aims to provide effective data protection with low computational cost.
V5 i7 0169
The document summarizes key-aggregate cryptosystem (KAC), which allows efficient and flexible sharing of encrypted
data in cloud storage. KAC encrypts data under a public key and ciphertext class. The key owner can generate an
aggregate decryption key that decrypts any ciphertext whose class is contained in the key, while keeping a constant size.
This compact aggregate key can be shared to delegate decryption rights for a set of ciphertexts, without sharing individual
keys. KAC schemes aim to achieve constant-size ciphertexts, public keys, master secrets and aggregate keys to enable
flexible and efficient data sharing in cloud storage.
19_2
The document proposes a technique for securing data by hiding it within an image using reversible data hiding and additional encryption. Specifically:
1) Data is first hidden in an image using reversible data hiding to create a watermarked image.
2) The watermarked image is then encrypted using an elliptic curve cryptography (ECC) algorithm.
3) To provide an additional layer of security, the encrypted image is then converted to text format before transmission. This makes it difficult for hackers to determine if the transmitted data is an image or text.
4) At the receiving end, the text can be decrypted back into an image to extract the hidden data, while still allowing recovery of the original image without any loss or
DIP Using Image Encryption and XOR Operation Affine Transform
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Secured Reversible Data Hiding In Encrypted Images Using Hyper Chaos
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it maintains the excellent property that the original cover can be losslessly recovered after embedded data is extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly vacating room from the encrypted images, which may be subject to some errors on data extraction and/or image restoration. Here a novel method is proposed by reserving room before encryption with a traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image. Moreover data to be embedded is shuffled using a hyper chaotic function which is difficult to be extracted from the stego image without original key. A digital water mark is also embedded which ensures integrity of the data. The proposed method has been validated against three other available RDH schemes and it is observed that the proposed scheme outperforms these RDH schemes both in visual quality and payload. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free of any error.
Secure Data Sharing Using Compact Summation key in Hybrid Cloud Storage
This document proposes a new encryption scheme called compact summation key encryption for secure data sharing in hybrid cloud storage. It aims to address limitations of existing approaches like predefined hierarchical schemes, attribute-based encryption, and identity-based encryption which cannot provide security to individual files or have non-constant size keys. The new scheme uses five algorithms: setup, key generation, encryption, extraction and decryption. It generates constant size public and master secret keys. Encryption uses file indexes and bilinear groups to create ciphertexts. Extraction combines decryption keys into a single compact summation key using bilinear pairing operations. This key can then decrypt ciphertexts for multiple file indexes, improving flexibility and efficiency of secure data sharing in cloud storage.
C3 s
The document discusses combining cryptography and steganography techniques for secure communication. It proposes encrypting a message before hiding it in a digital object like an image file. This provides two layers of security since an extracted hidden message would still be encrypted. The document outlines the cryptography and steganography algorithms to be used, including AES encryption and least significant bit steganography with improvements like randomization and hashing.
DATA HIDING IMAGES USING SPREAD SPECTRUM IN CLOUD COMPUTING
DATA HIDING IMAGES USING SPREAD SPECTRUM IN CLOUD COMPUTINGInternational Journal of Technical Research & Application
1) The document proposes using spread spectrum image steganography (SSIS) to securely store data in the cloud by hiding data within digital images. SSIS spreads a message across a digital image as low-power noise to make the hidden data imperceptible.
2) When a user uploads data to the cloud, SSIS software would encrypt the data multiple times within an image. Even if hackers access the encrypted image, they cannot decrypt the data without knowing how many times the user encrypted it.
3) This provides double security by encrypting data within an image format and ensuring hackers cannot decrypt without the encryption key information known only to the authorized user.Why Encryption For The Cloud Is A Good Idea
The cloud refers to using computers owned by others over the internet to process and store data remotely. While a user's data is usually safe in the cloud, it is not completely private as data breaches or weaknesses in a provider's security policies could expose it. However, encrypting data makes it unviewable by anyone without the encryption key, allowing private data to safely exist in the cloud.
DATA HIDING IN ENCRYPTED H.264 VIDEO FORMAT
I-frames, P-frames, and B-frames are the three major picture types or frame types used in video compression algorithms. I-frames are fully specified frames that do not require other frames to decode but are the least compressible. P-frames store only the changes from previous frames and are more compressible than I-frames but require previous frames to decode. B-frames can use both previous and forward frames for reference and achieve the highest compression but require both previous and forward frames to decode. I-frames are used as random access points and references for decoding other frames.
Image Encryption in java ppt.
The document proposes a chaotic image encryption technique using Henon chaotic systems. It consists of two main steps: 1) Image fusion between the original image and a key image. 2) Encrypting the pixel values of the fused image using a Henon chaotic map. The technique aims to provide high security with less computational time compared to traditional encryption methods. Experimental results show the algorithm is sensitive to keys and resistant to brute force attacks. The technique can be used for applications like secure internet image transmission.
Machine Learning @ NECST
Machine Learning (ML) algorithms are gaining momentum as main components in a large number of fields, from computer vision and robotics to finance and biotechnology. However, many challenges need to be solved when Artificial Intelligence is applied to different settings, such as cloud computing or embedded systems. At the same time, the use of Field Programmable Gate Arrays (FPGAs) for data-intensive applications is increasingly widespread thanks to the possibility to customize hardware accelerators and achieve high-performance implementations with low energy consumption. This presentation is an overview of the ongoing ML-based projects that are developing at NECSTLab, the laboratory of hardware architectures and computer security of Politecnico di Milano.
Provenance based presentation on cloud computing security
This document summarizes Asif Imran's research presentation on developing an effective provenance model from system logs to improve cloud data forensics. The presentation discusses proposing research on this topic, existing provenance research works, and background on cloud provenance detection. It also describes the experimental environment involving OpenStack components that will be used to test provenance detection in the cloud. The overall goal is to derive a provenance model from system logs that can ensure improved management of cloud data forensics.
Image encryption using aes key expansion
The document provides an introduction to image encryption using AES key expansion. It discusses how traditional encryption techniques are not well-suited for encrypting large multimedia files like images due to their size and characteristics. The objective of the study is to develop an image encryption system that is computationally secure, fast enough for real-time use, and widely acceptable. It reviews related works in image encryption and discusses limitations of only using a 128-bit AES key. The document is organized into chapters covering cryptography fundamentals, image cryptosystems, AES algorithm details, an example of AES key expansion, and experimental analysis.
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Reversible data hiding in encrypted images by reserving room before encryption
Reversible data hiding in encrypted images by reserving room before encryption
Reversible data hiding in encrypted images by reserving room before encryption
Reversible data hiding in encrypted images by reserving room before encryption
Lossless and reversible data hiding in encrypted images with public key crypt...
Lossless and reversible data hiding in encrypted images with public key crypt...
Reversible Data Hiding in Encrypted color images by Reserving Room before Enc...
Reversible Data Hiding in Encrypted color images by Reserving Room before Enc...
DIP Using Image Encryption and XOR Operation Affine Transform
DIP Using Image Encryption and XOR Operation Affine Transform
Secured Reversible Data Hiding In Encrypted Images Using Hyper Chaos
Secured Reversible Data Hiding In Encrypted Images Using Hyper Chaos
Secure Data Sharing Using Compact Summation key in Hybrid Cloud Storage
Secure Data Sharing Using Compact Summation key in Hybrid Cloud Storage
DATA HIDING IMAGES USING SPREAD SPECTRUM IN CLOUD COMPUTING
DATA HIDING IMAGES USING SPREAD SPECTRUM IN CLOUD COMPUTING
Provenance based presentation on cloud computing security
Provenance based presentation on cloud computing security
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CLASIFICACIÓN Y FUNCIONAMIENTO DE BOMBAS CENTRIFUGA 0407
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This paper proposes reversible data hiding in encrypted images for secure missile launching. The work is presented in two stages: one involves encryption of cover image by block cipher algorithm and other is embedding secure data related to missile launching. For embedding data, vacant pixels are identified by Slepian-Wolf encoding method along with embedding key to hide the data. At the other end by using decryption algorithm the original cover image is recovered and the secret data is extracted. The performance analysis is presented by calculating parameters MSE, PSNR and SSIM.
novel Approach For Data Hiding by integrating Steganography and Extended Visu...
This document proposes a system that combines visual cryptography and steganography to provide multiple levels of security. It aims to overcome the limitations of single-level hiding approaches. The proposed system first encrypts a secret message using RSA encryption and then hides the cipher text in an image using steganography. This stego image is transmitted along with a cover video. The receiver extracts the stego image from the video and decrypts the cipher text using their private key to retrieve the original secret message. The system implements visual cryptography to allow decryption through human vision without requiring any computation.
Decrypt and Encrypt the Image in Cryptographic Algorithm HS Based RDH and LSB...
This document discusses methods for encrypting and decrypting images using reversible data hiding and least significant bit algorithms with asymmetric cryptography. It proposes a method that reserves room in the image before encryption using histogram shift-based reversible data hiding and least significant bit algorithms with a public key cryptosystem. This allows data to be embedded in the encrypted image simply for the user. The embedded data and original image can then be extracted and recovered later without any loss of pixels or data. The method claims to embed more than ten times as much data as other techniques while maintaining image quality and restoration after encryption.
Sub1584
This document discusses separable reversible data hiding using matrix addition for color images. It proposes a scheme where the content owner encrypts the original image, then a data hider embeds additional data using a data hiding key. The receiver can extract the hidden data and recover the original image by separately providing the encryption key and data hiding key. Lossy and lossless compression techniques for images are also discussed. Reversible data hiding allows exact recovery of the original image and extraction of hidden data without errors when the amount of additional data is large.
Data encryption using LSB matching algorithm and Reserving Room before Encryp...
Now a days, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it
maintains the excellent property that the original cover can be losslessly recovered after embedded data is
extracted while protecting the image content’s confidentiality. Previously proposed methods embed data by
reversibly vacating room from the encrypted images, which may cause some errors in data during data extraction
and/or image restoration. In this paper, a novel method of reserving room before encryption with a traditional
RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted image is
proposed. The proposed method can achieve real reversibility, that is, data extraction and image recovery are
free of any error.
K041068072
This document proposes a novel reversible data hiding method called "Reserving Room Before Encryption" (RRBE) for color images. The key steps are: (1) Reserve space in the cover image by embedding pixel LSBs before encryption using an LSB plane method. (2) Encrypt the cover image. (3) Data can then be hidden in the reserved spaces of the encrypted image. (4) Data extraction and image recovery are possible without error since space was reserved before encryption, separating these processes from decryption. Using color images provides more data hiding capacity across the three channels. The method allows for reversible data hiding in encrypted images without the errors introduced by previous techniques that vacate space after encryption.
Stegnography Systems for Securing DataFile in Image
Stegnography Systems for Securing DataFile in ImageInternational Journal of Engineering Inventions www.ijeijournal.com
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.Securing Image Steganogarphy Based on Visual Cryptography And Integer Wavelet...
The document proposes a new method for securing image steganography using visual cryptography and integer wavelet transform. The method embeds a secret image into a cover image in the following steps: 1) Apply (2 out of 2) visual cryptography to the secret image to generate two secret shares. 2) Apply a two-level integer wavelet transform to the blue channel of the cover image, resulting in four sub-bands. 3) Embed each secret share into one of the four sub-bands. 4) Combine the channels to generate the stego-image. Extraction requires applying the same transforms to the stego-image to recover the secret shares and reconstruct the secret image, without needing the original cover image. The method
Az2419511954
This document summarizes a research paper that proposes a novel reversible data hiding scheme using AES encryption. The scheme consists of three phases: 1) AES encryption of the original image, 2) data embedding by modifying parts of the encrypted image, 3) data extraction and image recovery by decrypting the encrypted image and extracting the hidden data. The scheme aims to securely hide data in images while allowing perfect recovery of the original image. Experimental results show the decrypted image has a high PSNR value of 55.11dB and the hidden data can be successfully extracted.
REVERSIBLE DATA HIDING IN ENCRYPTED IMAGES BY RESERVING ROOM BEFORE ENCRYPTIO...
REVERSIBLE DATA HIDING IN ENCRYPTED IMAGES BY RESERVING ROOM BEFORE ENCRYPTIO...International Journal of Technical Research & Application
In recent years the topic of steganography has become
very popular and a lot of research is being done in this field.
Reversible data hiding is a method in which the image in which
the encrypted data is hidden is losslessly recovered. In this paper
we have proposed such a method that the previous work done
limitations can be overcome. In this paper, we embed the
encrypted data in the image by using LSB matching technique for
reserving room, so that fast, optimal and lossless steganography
is achieved. The proposed method provides total reversibility,
that is, data extraction and image recovery.A Survey on Different Data Hiding Techniques in Encrypted Images
This document provides a survey of different data hiding techniques, with a focus on reversible data hiding in encrypted images. It begins with an introduction to data hiding and its importance for data security. Then it reviews various data hiding techniques, including those that hide data in audio signals, video sequences, and DNA sequences. It also discusses reversible data hiding techniques for encrypted images. The document concludes with a table that compares different data hiding techniques and highlights their advantages, such as increased hiding capacity and difficulty for attackers to detect hidden data. The survey finds that reversible data hiding techniques for encrypted images can achieve high-quality decrypted images with independent extraction and decryption.
Research Inventy : International Journal of Engineering and Science
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
A SECURE STEGANOGRAPHY APPROACH FOR CLOUD DATA USING ANN ALONG WITH PRIVATE K...
A SECURE STEGANOGRAPHY APPROACH FOR CLOUD DATA USING ANN ALONG WITH PRIVATE K...IJCSIS Research Publications
Cloud computing is a powerful, flexible, cost
efficient platform for providing consumer IT services
over the Internet. However Cloud Computing has
various level of risk because most important
information is maintained and managed by third party
vendors, which means harder to maintain security for
user’s data .Steganography is one of the ways to provide
security for secret data by inserting in an image or
video. In this most of the algorithms are based on the
Least Significant Bit (LSB), but the hackers easily
detects it embeds directly. An Efficient and secure
method of embedding secret message-extracting
message into or from color image using Artificial
Neural Network will be proposed. The proposed
method will be tested, implemented and analyzed for
various color images of different sizes and different
sizes of secret messages. The performance of the
algorithm will be analyzed by calculating various
parameters like PSNR, MSE and the results are good
compared to existing algorithms.IMAGE STEGANOGRAPHY USING CNN
This document discusses image steganography using convolutional neural networks (CNNs). It begins with an abstract that introduces image steganography and its goal of concealing data within images without detection. It then provides background on traditional steganography techniques and how CNNs are now being used.
The document is a research paper that reviews various CNN-based image steganography methods. It categorizes existing approaches as traditional, CNN-based, or GAN-based. It summarizes several representative methods under each category and compares their advantages and disadvantages.
The proposed method is then described. It uses three CNNs - a preparation network to transform the secret image, a hiding network to generate a container image by combining the prepared
MESSAGE TRANSFER USING STEGANOGRAPHY
This document discusses message transfer using steganography. Steganography is used to hide information like text, images or videos within other media files such as images, videos or music. The document discusses how steganography can be used to securely transfer messages between two parties by hiding the messages within digital files like images without the server being able to decrypt the messages. It discusses how the least significant bits of pixels can be modified to embed secret data without significantly affecting the cover image. Different encryption techniques for embedding the data are also discussed. The document concludes that steganography can help protect messages not only from intruders but also from server-side attacks by making it difficult for the server to detect and decrypt embedded messages.
11.biometric data security using recursive visual cryptography
This document summarizes a research paper on using recursive visual cryptography and biometric authentication to securely store biometric data. The paper proposes a scheme where secrets can be recursively embedded within image shares created by visual cryptography. Additionally, biometric authentication is used to securely access the shares. The scheme involves creating shares of secrets, embedding those shares as additional secrets within other shares, and authenticating users through iris recognition before revealing embedded secrets. This allows for multiple secrets to be hidden and revealed securely through the visual cryptography and biometric authentication methods combined.
Designing an efficient image encryption then-compression system via predictio...
The document proposes a new image encryption-then-compression system that aims to efficiently compress encrypted images while maintaining a high level of security. It suggests encrypting images in the prediction error domain and using context-adaptive arithmetic coding to compress the encrypted data, resulting in only a negligible loss in compression efficiency compared to compressing the original images. This approach improves upon existing systems that induce significant penalties on compression performance when encrypting images prior to compression.
Encryption
This project presentation summarizes an image-based steganography project. It will allow users to hide information within image files by embedding secret messages or files into digital images. The presentation covers key topics such as what steganography is, how it differs from cryptography, the project scope, methodology, terminology, encryption and decryption processes, data flow diagrams, and software/hardware requirements. Advantages include protecting data and sending secret messages, while disadvantages include potential misuse for illegal activities.
Survey on Different Image Encryption Techniques with Tabular Form
Rapid growth of digital communication and multimedia application increases the need of security and it becomes an important issue of communication and storage of multimedia. Image Encryption is one of the techniques that are used to ensure high security. Various fields such as medical science military in which image encryption can be used. Recent cryptography provides necessary techniques for securing information and protective multimedia data. In last some years, encryption technology has been developed quickly and many image encryption methods have been used to protect confidential image data from illegal way in. Within this paper survey of different image encryption techniques have been discussed from which researchers can get an idea for efficient techniques to be used.
Image Steganography. Image Steganography. Image Steganography
1. The document discusses image steganography techniques for hiding secret messages in digital images. It describes how the least significant bits of pixels can be modified to embed data without noticeable changes to the image.
2. The least vital bit (LSB) insertion method is described as a common approach, where the least significant bit of bytes in an image is altered to bits of a hidden message.
3. For security, the document recommends using both steganography and cryptography together. Encrypting the message before embedding it into an image provides multiple layers of protection.
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A Survey on Different Data Hiding Techniques in Encrypted Images
Research Inventy : International Journal of Engineering and Science
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A SECURE STEGANOGRAPHY APPROACH FOR CLOUD DATA USING ANN ALONG WITH PRIVATE K...
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11.biometric data security using recursive visual cryptography
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17
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
16
This document discusses energy-efficient strategies for cooperative multichannel MAC protocols. It introduces Distributed Information SHaring (DISH), which helps nodes make decisions by sharing information with neighboring nodes. This approach was shown to significantly increase throughput but had not addressed energy efficiency. The paper proposes two strategies: in-situ energy conscious DISH which uses existing nodes, and altruistic DISH which uses additional nodes called altruists. Evaluation shows altruistic DISH conserves 40-80% of energy, maintains throughput advantages, and more than doubles cost efficiency compared to protocols without this strategy. In-situ energy conscious DISH is only suitable in limited scenarios.
15
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
25
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
24
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
23
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
22
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
21
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
20
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
19
CTVS is a novel data extraction and alignment method that combines tag and value similarity to extract data from query result pages. It first identifies and segments query result records in the pages and aligns them into a table with data values from the same attribute in the same column. CTVS handles cases where records are not contiguous due to auxiliary information and any nested structures within records. It also designs a new record alignment algorithm that aligns attributes pairwise and holistically using tag and value similarity. Experimental results show CTVS achieves high precision and outperforms existing methods.
18
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
16
The document discusses a new algorithm for topic mining over asynchronous text sequences. The algorithm aims to explore correlations between multiple related text sequences that may have different time stamps. It consists of two alternating steps: 1) extracting common topics from sequences based on adjusted time stamps, and 2) adjusting time stamps according to the discovered topic time distributions. The approach is evaluated on research papers and news articles, demonstrating effectiveness in identifying topics across asynchronously published documents.
15
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
14
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
13
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
12
The document presents a new approach called TSCAN for temporally summarizing topics from a collection of documents. TSCAN first derives the major themes of a topic from the eigenvectors of a temporal block association matrix. It then extracts significant events and their summaries for each theme by examining the eigenvectors. Finally, it associates the extracted events based on their temporal closeness and context similarity to form an evolution graph of the topic. Experiments on the TDT4 corpus show that temporal summaries generated by TSCAN present topics in a comprehensible form and are superior to existing summarization methods based on human references.
11
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
10
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
9
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
8
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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