paper-with-me

Papers

Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging

2019-05-31 · Shuming Jiao, Yang Gao, Ting Lei, Zhenwei Xie, Xiaocong Yuan

In many previous works, a single-pixel imaging (SPI) system is constructed as an optical image encryption system. Unauthorized users are not able to reconstruct the plaintext image from the ciphertext intensity sequence without knowing the illumination pattern key. However, little cryptanalysis about encrypted SPI has been investigated in the past. In this work, we propose a known-plaintext attack scheme and a ciphertext-only attack scheme to an encrypted SPI system for the first time. The known-plaintext attack is implemented by interchanging the roles of illumination patterns and object images in the SPI model. The ciphertext-only attack is implemented based on the statistical features of single-pixel intensity values. The two schemes can crack encrypted SPI systems and successfully recover the key containing correct illumination patterns.

📄 PDF Abstract BibTeX arXiv:1905.13594

Code (0)

등록된 구현이 없습니다.

Tasks

Cryptanalysis

Similar Papers 제목 키워드 기반

A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers

2024-05-30 · Jimmy Dani, Kalyan Nakka, Nitesh Saxena

Indistinguishability is a fundamental principle of cryptographic security, crucial for securing data transmitted between Internet of Things (IoT) devices. This principle ensures that an attacker cannot distinguish betwee…

CryptanalysisMemorizationTransfer Learning

Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural Networks

2020-04-28 · Alex Habeen Chang, Benjamin M. Case

Privacy preserving machine learning is an active area of research usually relying on techniques such as homomorphic encryption or secure multiparty computation. Recent novel encryption techniques for performing machine l…

BIG-bench Machine LearningPrivacy Preserving

Balancing Privacy and Efficiency: Music Information Retrieval via Additive Homomorphic Encryption

2025-08-09 · William Zerong Wang, Dongfang Zhao arxiv

Modern music retrieval runs on vector embeddings, and once these embeddings are shared for search or matching they can be copied, probed, or used to train generative models. Fully homomorphic encryption can compute on th…

Information Retrieval

CRYPTO-MINE: Cryptanalysis via Mutual Information Neural Estimation

2023-09-14 · Benjamin D. Kim, Vipindev Adat Vasudevan, Jongchan Woo, Alejandro Cohen 외

The use of Mutual Information (MI) as a measure to evaluate the efficiency of cryptosystems has an extensive history. However, estimating MI between unknown random variables in a high-dimensional space is challenging. Re…

Cryptanalysis

Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme

2020-10-29 · Kunjal Panchal

Honey Encryption is an approach to encrypt the messages using low min-entropy keys, such as weak passwords, OTPs, PINs, credit card numbers. The ciphertext is produces, when decrypted with any number of incorrect keys, p…

Keyword ExtractionWord Embeddings