Results 31 to 40 of about 278,396 (266)

Increasing the cyber resilience of SMEs through open-source solutions and international collaboration

Bulletin of "Carol I" National Defense University
In an increasingly digitalized world, small and medium-sized enterprises (SMEs) are exposed to significant cyber threats due to limited security resources.
Ionica ȘERBAN, Florentina-Mihaela CURCĂ, Robert-Ștefan ȘANDRU   +2 more
doaj   +1 more source

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

Advanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang, Chuanpeng Jiang, Zhaohao Wang, Zhengyi Hou, Zhongkui Zhang, Yuanfu Zhao, Hong‐xi Liu, Weisheng Zhao   +7 more
wiley   +1 more source

VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks

Big Data Mining and Analytics, 2023
With the rapid development of mobile devices, aggregation security and efficiency topics are more important than past in crowd sensing. When collecting large-scale vehicle-provided data, the data transmitted via autonomous networks are publicly ...
Juli Yin, Linfeng Wei, Zhiquan Liu, Xi Yang, Hongliang Sun, Yudan Cheng, Jianbin Mai   +6 more
doaj   +1 more source

Synaptic κ‐Ga2O3 Photodetectors for Privacy‐Enhancing Neuromorphic Computing

Advanced Science, EarlyView.
We report on a single‐element neuromorphic sensor based on the persistent photoconductivity (PPC) of κ‐phase Ga2O3 capable of sensing ultraviolet light and harnessing intrinsic data privacy. The approach establishes a materials‐enabled pathway toward compact, intelligent, and privacy‐enhancing optoelectronic hardware for next‐generation edge systems ...
Yanqing Jia, Heming Lin, Hongliang Chang, Wenqing Niu, Yue Wang, Hang Lu, Abdullah AlQuwayzani, Yara Banda, Long Chen, Qingxiao Wang, Bambar Davaasuren, Mohamed Ben Hassine, Tien Khee Ng, Boon S. Ooi   +13 more
wiley   +1 more source

Deepfake Detection Algorithm Based on Dual-Branch Data Augmentation and Modified Attention Mechanism

Applied Sciences, 2023
Mainstream deepfake detection algorithms generally fail to fully extract forgery traces and have low accuracy when detecting forged images with natural corruptions or human damage.
Da Wan, Manchun Cai, Shufan Peng, Wenkai Qin, Lanting Li   +4 more
doaj   +1 more source

An Argumentation-Based Reasoner to Assist Digital Investigation and Attribution of Cyber-Attacks

, 2020
We expect an increase in the frequency and severity of cyber-attacks that comes along with the need for efficient security countermeasures. The process of attributing a cyber-attack helps to construct efficient and targeted mitigating and preventive ...
Karafili, Erisa, Lupu, Emil C., Wang, Linna   +2 more
core   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Joint Modal Alignment and Feature Enhancement for Visible-Infrared Person Re-Identification

Sensors, 2023
Visible-infrared person re-identification aims to solve the matching problem between cross-camera and cross-modal person images. Existing methods strive to perform better cross-modal alignment, but often neglect the critical importance of feature ...
Ronghui Lin, Rong Wang, Wenjing Zhang, Ao Wu, Yihan Bi   +4 more
doaj   +1 more source

An Intelligent Feature Engineering‐Driven Hybrid Framework for Adversarial Domain Name System Tunneling Detection

Advanced Intelligent Systems, EarlyView.
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor, Shtwai Alsubai, Monji Mohamed Zaidi, Natalia Kryvinska, Abdullah Al Hejaili, Sidra Abbas   +5 more
wiley   +1 more source

GHEFL: Grouping Based on Homomorphic Encryption Validates Federated Learning

Future Internet
Federated learning is a powerful tool for securing participants’ private data due to its ability to make data “available but not visible”. In recent years, federated learning has been enhanced by the emergence of multi-weight aggregation protocols, which
Yulin Kang, Wuzheng Tan, Linlin Fan, Yinuo Chen, Xinbin Lai, Jian Weng   +5 more
doaj   +1 more source