1,721,023 research outputs found
“Private” JPEG images for earth science purposes
No full textThe 5G era that is about to come will exponentially increase the amount of digital data produced. Already, the giant amount of digital data that is produced every day by sensors, users and digital devices has called for scalable and efficient decentralized approaches to data storage and elaboration and to a Fog/Edge computing paradigm that requires efficient networking and storage for better services related to the compression and security of digital data. In this paper, we will explore a unified approach that merges compression and security in one step, by reviewing the current research in this field and by presenting new experimental evidence and new ideas for secure compression of two-dimensional data (for instance digital images). The purpose of our study is also the masking and unmasking of the sensitive biometric data, i.e. face and eyes, that are contained within a JPEG image that contains human faces
Next Generation Sequencing Data and its Compression
No full textOver the past few years the amount of digital memory and network traffic used by sequenced biological data has increased dramatically. Genomic projects such as HapMap, 1000 Genomes, etc., have come to the collection and description of genomes of 2,504 individuals from 26 populations, and they contributed to exponential growth of databases of this type and to the development of increasingly efficient technologies. Thanks to the large-scale sequencing of samples of DNA, the interest and the new research in these areas by the scientific community are suddenly grown. In a very short time researchers have developed hardware tools, analysis software, algorithms, private databases and infrastructures to support genomics. In this paper we analyse different approaches for compressing digital files generated by Next-Generation Sequencing tools containing nucleotide sequences and we discuss and evaluate the compression performance of generic compression tools such as gzip and bzip2 by confronting them with a specific system that was designed specifically for genomic file compression: quip
Compression of next-generation sequencing data and of DNA digital files
No full textThe increase in memory and in network traffic used and caused by new sequenced biological data has recently deeply grown. Genomic projects such as HapMap and 1000 Genomes have contributed to the very large rise of databases and network traffic related to genomic data and to the development of new efficient technologies. The large-scale sequencing of samples of DNA has brought new attention and produced new research, and thus the interest in the scientific community for genomic data has greatly increased. In a very short time, researchers have developed hardware tools, analysis software, algorithms, private databases, and infrastructures to support the research in genomics. In this paper, we analyze different approaches for compressing digital files generated by Next-Generation Sequencing tools containing nucleotide sequences, and we discuss and evaluate the compression performance of generic compression algorithms by confronting them with a specific system designed by Jones et al. specifically for genomic file compression: Quip. Moreover, we present a simple but effective technique for the compression of DNA sequences in which we only consider the relevant DNA data and experimentally evaluate its performances
Efficient Compression and Encryption for Digital Data Transmission
No full textWe live in a digital era in which communication is largely based on the exchange of digital information on data networks. Communication is often pictured as a sender that transmits a digital file to a receiver. This file travels from a source to a destination and, to have a quick and immediate communication, we need an encoding strategy that should be efficient and easy yet secure. This communication could be based on a layout articulated in two operations that are heterogeneous and in some case conflicting but that are needed to be applied to the original file to have efficiency and security. These two operations are data compression and encryption. The aim of this work is to study the combination of compression and encryption techniques in digital documents. In this paper we will test the combinations of some of the state-of-the-art compression and cryptography techniques in various kinds of digital data.</jats:p
Security and Performance of a Textual Substitution Compression Method Applied to Images
No full textThis paper discusses the performances and security of a textual substitution compression algorithm applied to images. This algorithm derives from the blending of the Lempel-Ziv compression methods and the Vector Quantization compression approach: it is called Adaptive Vector Quantization (AVQ). We review the performance and the security of AVQ and present new testing results on a specific set of medical images: the baropodometric images
Efficient and Secure Transmission of Digital Data in the 5G Era
No full textWith the arrival of new smartphones and new social networks and with the speed of the new 5G communication the network traffic of multimedia documents has significantly increased, and it becomes necessary to preserve privacy when using digital images or videos, for example in the current social networks or, even more, in those based on Virtual and Augmented reality that soon will take the place of the current ones. In this paper we explore a unified approach to compression and privacy by considering both one-dimensional and two-dimensional data by implementing a secure protocol for interactive data compression and by presenting a new algorithm for scrambling the Region of Interest (ROI) of an image
Transmission of Digital Data in the 5G Era: Compression and Privacy
No full textThe vast majority of compressed digital data that flows nowadays on modern high-speed networks is directly related to human activity. It describes what we do, what we see and photograph, where we go, whom we meet, and specifically every moment of our lives. This brings up issues and concerns regarding the necessity to safeguard user privacy as well as to protect the digital multimedia contents that are delivered to offer new experiences. In this paper, we explore a unified approach to compression and privacy by considering different types of digital data (text, images, sound, and hyperspectral images)
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