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International Conference on Reliability, Infocom technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Rakesh Ahuja Purnima Mohd Junedul Haque Sarvesh Tanwar Nidhi Gautam Ajay Rana Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Amity Institution of Information Technology Amity university Noida Uttar Pradesh University Institute of Applied Management Sciences Panjab University Chandigarh AIIT Amity University Uttar Pradesh Noida India

ISBN: (数字)9781728170169

ISBN: (纸本)9781728170176

The rapid development of worthy internet bandwidth transfers the digital multimedia objects to remote computer system instantaneously. The advent of digital technologies makes possible to create multiple identical copies of the original video. These two revolutionary changes in technologies exploited by malicious user also to make false claim for ownership protection, copyright protection, copy control and many more issues. The proposed technique suggested an innovative method by embedding the different segments of scrambled watermark in the extracted motion features of the video. The encryption key used to encrypt the watermark is depend upon the features of video and it always different for each different video. The scheme is robust and imperceptible enough to secure the watermark embedded into the video object. The outcome reveals that the scheme is robust to intentional and unintentional image and video specific attacks considered to occur frequently in nature. The superiority of the algorithm is that it found better robustness against compression attack.

关键词： Watermarking Streaming media Robustness Feature extraction encryption Motion pictures

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An efficient versatile fast correlation vector quantization scheme based reversible data hiding on image processing

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Journal of Ambient Intelligence and Humanized Computing 2020年第5期12卷 5179-5189页

作者： Prabha, K. R. Jagadeeswari, M. Nataraj, B. Department of ECE Sri Ramakrishna Engineering College Coimbatore India

The Reversible Data Hiding (RHD) is the one of the useful technologies to solve the issues in multimedia security. The lossless data hiding is the most promising data technique; it needs to provide the complete data with a cover media after embedded data is retrieved. For solving this issue, reversible data masking method like Versatile Speed Correlation Vector (VFCVQ) compressed images have been proposed. The two main concerns about data masking are the ability to hide and stereo image quality. The higher efficiency of the VFCVQ images sends more confidential data. A VFCVQ compressed image means it will store the secret data with the original image size, and it will keep avoiding the unwanted attention of the compressed image. The scheme proposed an RHD method based on the concept of a VFCVQ. The proposed coding system uses a specific value to determine the ability to embed confidential data into an image and creates a VFCVQ encoded image or output compressed code stream. Progression of integrating a sensitive data with an original VFCVQ encoded images will be retrieved when output is needed. The proposed method will be implemented to process the secret data using three ways progress which is typically identical in a VFCVQ encoded image; initially the system obtained four-layer connection for embedding the data bit, second it uses the Hierarchical Code-Code Mapping (HSCM) reconstruction to match the first word's encoded-word in image, Finally it will calculate the difference between the new code of the two adjacent blocks, After progressing all of this procedure the encryption of secret bit data values are analyses with each compressed output block. The proposed system is executed in the MATLAB simulation environment; the result of an output data is compared with the proposed methods with previous RHD techniques. The performance analysis of the proposed RHD techniques provides an efficient in terms of like compression ratio 39.2 (%), embedding rate 1.50 (kb), PSNR

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Efficient Data compression Scheme for Secured Application Needs 22nd

Efficient Data Compression Scheme for Secured Application Ne...

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22nd International Symposium on VLSI Design and Test, VDAT 2018

作者： Kashyap, Ravi Verma, Twinkle Kwatra, Priyanka Rout, Sidhartha Sankar Jaypee Institute of Information Technology Noida India Indraprastha Institute of Information Technology Delhi New Delhi India

ISBN: (纸本)9789811359491

The widespread availability of 3G/4G network could make Intelligent Traffic Systems (ITS) capable of wirelessly connecting to the data networks. The near future possibility of 5G communication would make this service more promising. The applications like traffic management and military where ITS plays an important role, demands a huge amount of secure data transmission. Massive data transfer is always a costly affair in terms of power, performance and reliability. A suitable data compression technique equipped with robust encryption methodology can leverage the burden of extensive data transportation. The shrunken data transmitted can be decrypted and decompressed at the receiver end, and there by the original information can be recovered. This paper demonstrates an efficient way of lossless data compression using a blend of Static and Instantaneous encoding named as SIN compression. The proposed scheme encodes the data based upon a suitable threshold point that eliminates the large number of iterations used in traditional compression methods. For an experiment performed over a 16 × 16 pixel image;the SIN compression shows 60% of performance, 64% of area, and 69% of power improvement over the original lossless Huffman compression. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Optimized Transmission of Encrypted images over Wireless Channels

Optimized Transmission of Encrypted Images over Wireless Cha...

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IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)

作者： Yandy A. Yanes-Baño José R. Rodríguez-Cruz Cornelio Posadas-Castillo Miguel A. Platas-Garza Ernesto Zambrano-Serrano Jéssica E. Treviño-Ortiz Fac. de Ingeniería Mecánica y Eléctrica Universidad Autónoma de Nuevo León San Nicolás de los Garza NL México

ISBN: (数字)9781728199535

ISBN: (纸本)9781728199542

The transmission of images over wireless channels is increasing with advances in wireless communication technologies. However, ensuring secure and efficient transmission is a major challenge because intrusive receivers may be present, wireless channels have high bit error rates and limited bandwidth. This paper proposes a wireless transmission scheme for encrypted images to establish reliable and robust communications. The proposed scheme comprises on the transmitter side, encryption, compression, channel coding and modulation, and their inverse processes at the receiver. The Discrete Wavelet Transformed and the Huffman coding are employed for image compression, whereas convolutional coding is used as a technique for error correction. The system is implemented with the USRP NI-2920 modules and LabVIEW Communications 2.0 software, allowing the transmission of encrypted images both in real and simulated environments. The results show that the proposed system is robust and efficient against channel degradation.

关键词： Irrigation Wireless communication Communication system security Power electronics image coding Silicon compounds Silicon

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A Robust, Non-blind High Capacity Secure Digital Watermarking Scheme for image Secret Information, Authentication and Tampering Localization and Recovery via the Discrete Wavelet Transform

A Robust, Non-blind High Capacity Secure Digital Watermarkin...

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2019 IEEE International Symposium on technologies for Homeland Security, HST 2019

作者： Chaughule, S.S. Megherbi, D.B. CMINDS Research Center University of Massachusetts Department of Electrical and Computer Engineering Lowell United States

ISBN: (纸本)9781728150925

In today's world accessibility and trade of advance digital information over the web is of key significance. Security and verification of digital information, including digital images, is one of the greatest concerns. For this specific reason, in this paper we propose a non-blind watermarking technique for self-recovery and authentication of hidden images against unauthorized tampering by utilizing the Discrete Wavelet Transform (DWT) and the Arnold's Transform. Due to the nature of the Discrete Wavelet Transform, DWT-based watermarking schemes, in general, have the hidden images size limited to up to 1/4 of the carrier image size;that is, for example, for a 256 x 56-carrier image the size of the hidden images is usually up to 128 x 128. In this paper, we show how the proposed DWT-based technique (a) has a moderately high capacity capability as it allows hidden images of the same size as that of the carrier image, (b) uses a self-recovery framework for watermarking and information hiding that allows embedding twice the number of correction matrices as in prior related work. This makes the proposed non-blind technique equipped with about twice as much capability of self-recovery from unauthorized tampering as in prior work, (c) allows unauthorized tampering localization and recovery against unauthorized tampering such as image cropping, blurring, pixel tampering, (d) utilizes all three-color channels of a carrier image for watermarking and information hiding, and (e) adds security in the secret hidden image information. Experimental results are presented to show the potential value of the proposed non-blind method for multiple information hiding of same size and the carrier image, tampering detection/localization, authentication, and tampering self-recovery, including cropping, and robustness of the proposed scheme to JPEG compression and encryption, and other unauthorized tampering. © 2019 IEEE.

关键词： Discrete wavelet transforms

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Cloud is safe when compressive: Efficient image privacy protection via shuffling enabled compressive sensing

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COMPUTER COMMUNICATIONS 2018年 117卷 36-45页

作者： Wu, Xuangou Tang, Shaojie Yang, Panlong Xiang, Chaocan Zheng, Xiao Anhui Univ Technol Sch Comp Sci & Technol Maanshan Peoples R China Univ Texas Dallas Naveen Jindal Sch Management Richardson TX 75083 USA Univ Sci & Technol China Sch Comp Sci & Technol Hefei Anhui Peoples R China Logist Engn Univ Chongqing Peoples R China

Cloud-assisted image services are widely used for various applications. Due to the high computational complexity of existing image encryption techniques, privacy protection becomes extremely challenging for resource constrained smart devices. We propose eCIS, a cloud-assisted image service where compression and encryption are jointly used for image processing efficiency. eCIS could shift the high computational cost from encoder and decoder to the cloud while providing efficient and adaptive image privacy protection for end users. The key idea is to leverage different measurement matrices for sampling device and cloud. Thus encryption is realized with shuffling enabled compressive sensing. We conduct in-depth theoretical analysis and demonstrate the effectiveness with evaluations. To this end, extensive experimental results show that eCIS can effectively protect image privacy and meet user's adaptive security requirements. Meanwhile, our experimental results show that eCIS could significantly save the system running time compared with existing cloud-assisted schemes.

关键词： Privacy protection Cloud security Compressive sensing encryption matrix

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Selective Area encryption using Machine Learning Technique

Selective Area Encryption using Machine Learning Technique

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Innovations in Power and Advanced Computing technologies (i-PACT)

作者： Soumya Kelur Ranjan Kumar H S Raju K. Dept. of CS& E NMAMIT Karnataka India

Detection of object and recognition of objects in real world computing environment is one of the challenging tasks in computer vision. To solve this task there are many challenges in designing algorithm, we have to introduce different and innovative techniques to detect objects in natural environments. image security is of high importance in various applications including military, medical and many others. Security is one of the most challenging aspects in the internet and network applications. Encrypting entire image is very slow. Selective encryption is a scheme which intends to save computational power, network resources, and execution time. To encrypt object selectively object detection techniques are used. This technique is one of the most promising solutions to increase the speed of encryption as compared to the traditional encryption techniques. Selective encryption is helpful for the multimedia contents like image, video and audio. The compression ratio achieved is very high, since we store only the residues of extracted pixel of an image. So this paper discussed about Selective encryption with object detection technique.

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encryption of lossless coded videos

Encryption of lossless coded videos

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International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)

作者： Donia Ammous Naziha Khlif Fahmi Kammoun Nouri Masmoudi University of Sfax National School of Engineers of Sfax Laboratory of Electronics and Information Technologies Circuit and System Team “C&S” Sfax Tunisie

ISBN: (数字)9781728151847

ISBN: (纸本)9781728151854

Several military files and medical research reports do not tolerate any type of distortion and are at the same time secret to owners. In order to preserve source information and guarantee data security, lossless video compression with encryption seems to be the best alternative. In this work, cryptography was grafted with lossless compression to ensure a high image quality and secure the transmission of such data. Thus, the insertion of the encryption module in the lossless video compression chain appears to be better than the application of compression and encryption separately in terms of computing time. Our developed method reached about 30% gain of total bits and around 75% improvement of the compression ratio proving promising results.

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Blended Vector Matrix On Different Channels Of image encryption With Multi-Level Distinct Frequency Based Chaotic Approach To Prevent Cyber Crimes By Using Affine Transformation 2

Blended Vector Matrix On Different Channels Of Image Encrypt...

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International Conference on Inventive Communication and Computational technologies (ICICCT)

作者： Mathur, Harsh Veenadhari, S. AISECT Univ Bhopal India

ISBN: (纸本)9781538619742

Security attacks through Internet has proliferated in recent years. Henceforth, information security is a challenge of very serious global concern of the present time. The protection of image data from unauthorized access is very essential encryption methods are exceptionally valuable tools to secure secret data. In this work a Effective secret communication using image encryption based on affine transformation has been proposed The multimedia encryption method which has partial encryption capability, very slight bit-rate overhead acceptable security level and also which is robust to the lossy compression. Embracing diverse cryptographic algorithms in modern digital communication frameworks utilizing an assortment of techniques ensures confidentiality. These communications were military by nature, however today with the expansion of individual communication frameworks;communication secrecy has value in military as well as civilian communication scenarios. Digital encryption is the main element to ensure the secure transmission of a message. To overcome information security issue presents an effective secret communication in preventing cyber crimes using affine transformation in this work.

关键词： Cryptography Affine Transformation image encryption Stegnography Data security secure communication

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An encryption Algorithm for ROI images 13th

An Encryption Algorithm for ROI Images

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13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)

作者： Sun, Chao Li, Li Liu, Yuqi Harbin Inst Technol Dept Automat Test & Control Xidazhi St 92 Harbin 150080 Heilongjiang Peoples R China

ISBN: (纸本)9783319638560;9783319638553

According to JPEG2000 image encryption algorithm based on confusion of the wavelet coefficients cannot support region-of-interest(ROI) image coding, an encryption method for ROI images is proposed. The proposed method Generates the confusion table using Chaotic sequences, confuses the Wavelet coefficients inside each code blocks, and encrypts the sign bits using Chaotic sequences. The experimental results show that the proposed method has lower affection to the compression ratio, and has the ability to provide adequate key space to resist the brute attack. The proposed method is important to support ROI image coding.

关键词： ROI image encryption JPEG2000 Chaotic sequences

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