Results 111 to 120 of about 22,998 (300)

Noise-resistant Joint Fingerprinting and Decryption Based on Vector Quantization

, 2012
[[abstract]]With the popularity of the Internet and development of multimedia technology, media distribution and traitor tracing issues have become critical and urgent.
林智揚;Lin, Chih-Yang
core  

POSTER: Ciphertext-policy attribute-based encryption method with secure decryption key generation and outsourcing decryption of ABE ciphertexts

, 2015
Attribute-based encryption (ABE) allows user to encrypt and decrypt data based on user attributes, and can be applied in some promising area such as mobile cloud storage.
Qingni Shen, Zhonghai Wu, Wu, Zhonghai, Yuejian Fang, Yang, Yahui, Wen, Zilong, Fang, Yuejian, Zilong Wen, Yahui Yang, Shen, Qingni   +9 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Efficient methods to overcome Rabin cryptosystem decryption failure [PDF]

, 2017
Rabin cryptosystem is an efficient factoring-based scheme, however, its decryption produces 4-to-1 output, which leads to decryption failure. In this work, in order to overcome the 4-to-1 decryption problem for the Rabin cryptosystem, we propose two ...
Kamel Ariffin, Muhammad Rezal, Asbullah, Muhammad Asyraf, Mahad, Zahari   +2 more
core   +2 more sources

Encrypting Images Using the Sum of Functions of a Real Variable

IEEE Access
A combined cryptosystem with symmetric keys for encrypting messages is proposed. Its unique feature is the use of functions of a real variable as keys instead of natural numbers.
Viktor V. Avramenko, Junzo Watada, Mykyta O. Bondarenko, Nataliya Kalashnykova, Mohd Hilmi Hasan   +4 more
doaj   +1 more source

Investigations into Decrypting Live Secure Traffic in Virtual Environments [PDF]

Malicious agents increasingly use encrypted tunnels to communicate with external servers. Communications may contain ransomware keys, stolen banking details, or other confidential information.
McLaren, Peter William Lindsay
core   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

A HYBRID ELLIPTIC CURVE AND DATA ENCRYPTION STANDARD ALGORITHM FOR SECURE DATA COMMUNICATION

Academy Journal of Science and Engineering
n the rapidly evolving landscape of digital communication, ensuring data security remains a paramount concern. This research proposes a hybrid encryption technique that combines the strengths of Elliptic Curve Cryptography (ECC) and the Data Encryption ...
Samuel N. John, Etinosa Noma-Osaghae, Danjuma Sunday Shadrach, Adati Elkanah Chahari, Chiroma Libra Wamdeo, Ime Ukeme Udioko   +5 more
doaj  

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source