21 papers · ranked by Valyu relevance
M Baritha Begum, N. Deepa, Mueen Uddin, Rajesh Kaluri + 2 more
'Maha Abdelhaq' 'Raed Alsaqour'] Data stored on physical storage devices and transmitted over communication channels often have a lot of redundant information, which can be reduced through compression techniques to conserve space and reduce the time it takes to transmit the data. The need for adequate security…
Nivedita Shrivastava, Smruti R. Sarangi
—We live in a data-driven era that involves the generation, collection and processing of a massive amount of data. This data often contains valuable intellectual property and sensitive user information that must be safeguarded. There is a need to both encrypt and compress the data at line speed and sometimes with added…
Ijaz Ahmad, Wooyeol Choi, Seokjoo Shin, Stefano Berretti + 3 more
'Jean-Baptiste Thomas' 'Baptiste Magnier' 'Khizar Hayat'] Perceptual encryption (PE) hides the identifiable information of an image in such a way that its intrinsic characteristics remain intact. This recognizable perceptual quality can be used to enable computation in the encryption domain. A class of PE algorithms…
Muhammad Usama, Nordin Zakaria, Houbing Song
Data compression and encryption are key components of commonly deployed platforms such as Hadoop. Numerous data compression and encryption tools are presently available on such platforms and the tools are characteristically applied in sequence, i.e., compression followed by encryption or encryption followed by…
Gaurav Vijayvargiya, Sanjay Silakari, Rajeev Pandey
—This paper addresses about various image compression techniques. On the basis of analyzing the various image compression techniques this paper presents a survey of existing research papers. In this paper we analyze different types of existing method of image compression. Compression of an image is significantly…
Martin Schwarzl, Pietro Borrello, Gururaj Saileshwar, Hanna Müller + 2 more
'Michael Schwarz' 'Daniel Gruss'] Abstract—Compression algorithms are widely used as they save memory without losing data. However, elimination of redundant symbols and sequences in data leads to a compression side channel. So far, compression attacks have only focused on the compression-ratio side channel, i.e., the…
Akshat Tiwari, Prachi Diwan, Tarun Dhar Diwan, Mahdal Miroslav + 1 more
'S. P. Samal'] In today’s digital age, sensitive multimedia informations are transmitted over public networks that are vulnerable to unauthorized access and data tampering. This motivates more robust encryption methods to combat such security threats. In this paper, a chaotic map-based encryption technique is presented…
Shiladitya Bhattacharjee, Subha Bhattacharya, Arnab Chatterjee, Sulabh Bansal + 1 more
Conventional techniques for compression and encryption are frequently laborious and resource-intensive, rendering them inappropriate for real-time applications. A plethora of research has been presented in the current literature to address these difficulties together; yet, it fails to propose any suitable strategy.…
Behrooz Khadem, Reza Ahmadian
—With the development of imaging methods in wireless communications, enhancing the security and efficiency of image transfer requires image compression and encryption schemes. In conventional methods, encryption and compression are two separate processes, therefore an adversary can organize his attack more simply but…
Genki Hamano, Shoko Imaizumi, Hitoshi Kiya, Benoit Vozel
This paper evaluates the effects of JPEG compression on image classification using the Vision Transformer (ViT). In recent years, many studies have been carried out to classify images in the encrypted domain for privacy preservation. Previously, the authors proposed an image classification method that encrypts both a…
Chen-Hsiu Huang, Ja‐Ling Wu
to Defend Image Manipulation Authors: ['Chen-Hsiu Huang' 'Ja‐Ling Wu'] The digital image manipulation and advancements in Generative AI, such as Deepfake, has raised significant concerns regarding the authenticity of images shared on social media. Traditional image forensic techniques, while helpful, are often passive…
Gajraj Kuldeep, Qi Zhang
—Recent study has shown that compressive sensing (CS) based computationally secure scheme using Gaussian or Binomial sensing matrix in resource-constrained IoT devices is vulnerable to ciphertext-only attack. Although the CS-based perfectly secure scheme has no such vulnerabilities, the practical realization of the…
Natnatee Dokmai, Kaiyuan Zhu, S. Cenk Sahinalp, Hyunghoon Cho
Genotype imputation servers enable researchers with limited resources to extract valuable insights from their data with enhanced accuracy and ease. However, the utility of these services is limited for those with sensitive study cohorts or those in restrictive regulatory environments due to data privacy concerns.…
Anders Andreasen, Maria Bonto, Fernando Montero
– This paper presents a framework for optimisation and techno-economic analysis of various pressurisation pathways for CO2 pipeline transportation. The pressurisation pathways include a conventional compression only case from initial to final pressure, a sub-critical compression part followed by cooling, liquefaction…
Mislav Has, Dora Kreković, Mario Kušek, Ivana Podnar Žarko + 2 more
'Naveen Chilamkurti' 'Wenbing Zhao'] The integration of Internet of Things (IoT) technology into agriculture has revolutionized farming practices by using connected devices and sensors to optimize processes and facilitate sustainable execution. Because most IoT devices have limited resources, the vital requirement to…
Miran Kim, Su Wang, Xiaoqian Jiang, Arif Harmanci
Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight for genetic determinants of diseases. Protecting the genetic privacy of participants is challenging as only a few rare variants can easily re-identify an individual among…
Hiroki Sudo, Masanobu Jimbo, Koji Nuida, Kana Shimizu
Privacy-preserving substring matching is an important task for sensitive biological/biomedical sequence database searches. It enables a user to obtain only a substring match while his/her query is concealed to a server. The previous approach for this task is based on a linear-time algorithm in terms of alphabet size…
Authors not listed
Cost effective and reliable hydrogen compression remains a challenging barrier in the wide-spread adoption of hydrogen as an energy carrier. The prevailing technology of mechanical compression suffers from several drawbacks, some of which can be addressed by non-mechanical compression strategies (e.g., electrochemical…
Herbert J. Bernstein, Alexei S. Soares, Kimberly Horvat, Jean Jakoncic
New higher-count-rate, integrating, large area X-ray detectors with framing rates as high as 17,400 images per second are beginning to be available. These will soon be used for specialized MX experiments but will require optimal lossy compression algorithms to enable systems to keep up with data throughput. Some…
Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Anan Li + 7 more
Efficient storage and sharing of massive biomedical data would open up their wide accessibility to different institutions and disciplines. However, compressors tailored for natural photos/videos are rapidly limited for biomedical data, while emerging deep learning based methods demand huge training data and are…
Jeffrey Chen, Manaswitha Edupalli, Bonnie Berger, Hyunghoon Cho
Privacy-preserving algorithms for genome-wide association studies (GWAS) promise to facilitate data sharing across silos to accelerate new discoveries. However, existing approaches do not support an important, prevalent class of methods known as linear mixed model (LMM) association tests or would provide limited…