Results 261 to 270 of about 3,804,736 (323)

Dual Encryption in a Shape Memory Hydrogel with Rewritable Fluorescent Information

Advanced Materials & Technologies, 2023
With the increasing emphasis on information security, reliable information encryption materials have been urgently desired. Herein, a hydrogel‐based dual encryption platform with self‐erasure function is developed, which exhibits both high‐security level
Junyi Tang, Tianyu Xing, Jia-Chun Feng
semanticscholar   +1 more source

Concealable physical unclonable function generation and an in-memory encryption machine using vertical self-rectifying memristors.

Nanoscale Horizons
The importance of hardware security increases significantly to protect the vast amounts of private data stored on edge devices. Physical unclonable functions (PUFs) are gaining prominence as hardware security primitives due to their ability to generate ...
Jea Min Cho, S. Kim, T. Park, Dong-Hoon Shin, Yeong Rok Kim, Hyungjun Park, Dong Yun Kim, Soo Hyung Lee, T. Park, Cheol Seong Hwang   +9 more
semanticscholar   +1 more source

Minimizing performance overhead in memory encryption

Journal of Cryptographic Engineering, 2013
Modern communications devices process, distribute and store massive amounts of data compared to only a few years ago. These devices can contain very sensitive information. In addition, they are used in uncontrolled, open environments where they can be lost or compromised.
Michael T. Kurdziel, Marcin Lukowiak, Michael A. Sanfilippo   +2 more
openaire   +1 more source

In-Memory Encryption using XOR-based Feistel Cipher in SRAM Array

International Symposium on Circuits and Systems
Data security has become increasingly vital in modern computing systems, with the rise of sophisticated cyber threats and the widespread use of digital information.
K. S., B. S. Reniwal
semanticscholar   +1 more source

Compiler-Based Memory Encryption for Machine Learning on Commodity Low-Power Devices

International Conference on Compiler Construction
Running machine learning (ML) on low-power IoT devices exposes unique security concerns. Attackers can easily steal or manipulate sensitive user data or proprietary ML models from the devices’ off-chip memory by leveraging their simple hardware structure
Kiwan Maeng, Brandon Lucia
semanticscholar   +1 more source

FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption

IEEE Transactions on Emerging Topics in Computing
Fully Homomorphic Encryption (FHE) is a technique that allows arbitrary computations to be performed on encrypted data without the need for decryption, making it ideal for secure computation outsourcing.
Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, T. Rosing   +8 more
semanticscholar   +1 more source

Anaheim: Architecture and Algorithms for Processing Fully Homomorphic Encryption in Memory

International Symposium on High-Performance Computer Architecture
Fully homomorphic encryption (FHE) is a promising solution for privacy-preserving cloud computing as it enables computations on sensitive data without any risk of data leakage.
Jongmin Kim, Sungmin Yun, Hyesung Ji, Wonseok Choi, Sangpyo Kim, Jung Ho Ahn   +5 more
semanticscholar   +1 more source

A Repeatable Dual‐Encryption Platform from Recyclable Thermosets with Self‐Healing Ability and Shape Memory Effect

Advanced Functional Materials, 2022
Repeatable dual‐encryption platforms, coupled with a strong protective capacity for stored information, are highly desirable for current data security but still a challenge to be realized.
Xi Yang, Mei-Ling Guo, Jiao Yan, Li Wang, Chuanxia Zhao, Dong-Dong Xiang, Hui Li, Jing-Juan Lai, Zhen-Yu Li, Abbas Ahmed, Luyi Sun, Yuanpeng Wu   +11 more
semanticscholar   +1 more source

CIPHERMATCH: Accelerating Homomorphic Encryption-Based String Matching via Memory-Efficient Data Packing and In-Flash Processing

International Conference on Architectural Support for Programming Languages and Operating Systems
Homomorphic encryption (HE) allows secure computation on encrypted data without revealing the original data, providing significant benefits for privacy-sensitive applications. Many cloud computing applications (e.g., DNA read mapping, biometric matching,
Mayank Kabra, Rakesh Nadig, Harshita Gupta, Rahul Bera, Manos Frouzakis, Vamanan Arulchelvan, Yu Liang, Haiyu Mao, Mohammad Sadrosadati, Onur Mutlu   +9 more
semanticscholar   +1 more source

Freeze and Crypt: Linux kernel support for main memory encryption

Computers & security, 2019
We present Freeze & Crypt, a framework for main memory encryption. Our goal is to protect sensitive main memory on modern devices against memory attacks, such as via coldboot, DMA, or JTAG.
Manuel Huber, Julian Horsch, Junaid Ali, Sascha Wessel   +3 more
semanticscholar   +1 more source