Results 61 to 70 of about 465 (189)

On the Optimum Secrecy Outage Probability and Ergodic Secrecy Rate over Wireless Channels

We study the secrecy of wireless channels in the presence of an eavesdropper, where the channels are random and the transmitter only has knowledge of the channel statistics. We investigate the optimal input distribution with respect to several secrecy metrics: the Secrecy Outage Probability (SOP), defined as the probability that the coding rate $r ...
Leroy, Clement, Arbi, Tarak, Geller, Benoit, Rioul, Olivier   +3 more
openaire   +2 more sources

Encrypt Anything: A Content‐Aware Hierarchical Privacy Protection Method for Image Data

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
This paper proposes the Encrypt Anything Model (EAM), a content‐aware hierarchical privacy protection method that integrates the Segment Anything Model (SAM) and Grounding‐DINO to automatically detect and segment privacy entities in images. EAM dynamically adjusts the encryption granularity according to the sensitivity level of privacy and introduces a
Jiawei Han, Bingxin Wu, Ying Xu, Peihang Han, Boyan Wang, Yuchen Gu   +5 more
wiley   +1 more source

Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks [PDF]

, 2022
Different system models utilizing Non-orthogonal multiple access (NOMA) have been successfully studied to meet the growing capacity demands of the Internet of Things (IoT) devices for the next-generation networks.
Rauniyar, Ashish, Engelstad, Paal, Håkegård, Jan Erik, Østerbø, Olav Norvald   +3 more
core   +1 more source

A Parameter Identification Method of Train Basic Resistance Based on Improved White Shark Algorithm

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
In this research, an identification framework based on train single‐mass dynamics model is first established to transform the parameter identification problem into a parameter optimization problem. Subsequently, an improved White Shark Algorithm incorporating Logistic Chaos Map, Time‐Varying Inertia Weight, and Gaussian Random Walk is designed to solve
Anzheng Lai, Youneng Huang, Guoxuan Tai, Yilong Wen, Guangzu Li, Lei Zhang, Huazhen Yu   +6 more
wiley   +1 more source

Game‐Theoretic Multi‐Agent Dynamic Traffic Assignment Using Congestion‐Aware Adaptive Learning

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel game‐theoretic multi‐agent framework for dynamic traffic assignment problems, integrating congestion‐aware adaptive learning to simultaneously reduce individual travel time and improve overall network efficiency under dynamic congestion.
Dandan Wu, Shiru Qu, Xu He, Hongming Xu, Ji Li   +4 more
wiley   +1 more source

Q‐Learning Power Allocation in FSO‐NOMA Networks Against Intelligent Jamming Attacks

IET Optoelectronics, Volume 20, Issue 1, January/December 2026.
This paper proposes a reinforcement learning‐based power allocation framework for NOMA‐enabled free‐space optical (FSO) communication systems under intelligent jamming attacks. By employing a Q‐learning algorithm, the transmitter adaptively adjusts power distribution to maximise system throughput and resilience.
Mohammad Ali Amirabadi
wiley   +1 more source

Uncertainty‐Aware Coordinated Transmission‐Distribution Dispatch via GNN‐Augmented Distributionally Robust Optimal Power Flow

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
The proposed LA‐DROPF framework integrates graph neural network surrogates with Wasserstein distributionally robust optimisation and CVaR tail‐risk control for coordinated transmission—distribution dispatch under deep renewable uncertainty. A hybrid Benders—ADMM decomposition enables privacy‐preserving multi‐area coordination with formal convergence ...
Aamir Nawaz, Zahid Javid, William Holderbaum   +2 more
wiley   +1 more source

Massive MIMO-NOMA Systems Secrecy in the Presence of Active Eavesdroppers

, 2021
Non-orthogonal multiple access (NOMA) and massive multiple-input multiple-output (MIMO) systems are highly efficient. Massive MIMO systems are inherently resistant to passive attackers (eavesdroppers), thanks to transmissions directed to the desired ...
Panos Papadimitratos, Marziyeh Soltani, Mahtab Mirmohseni, Soltani, Marziyeh,, Papadimitratos, Panagiotis,, Mirmohseni, Mahtab,   +5 more
core   +1 more source

Optimizing Heart Risk Attack Diagnosis by Hybridizing XGBoost and Chaotic Binary Bat Algorithm

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Accurate feature selection remains a critical challenge in heart disease prediction due to high‐dimensional data and complex feature interactions. This study proposes a hybrid framework that integrates extreme gradient boosting with a chaotic binary bat algorithm to improve feature‐selection efficiency and predictive performance.
Syaiful Anam, Safrizal Ardana Ardiyansa, Zuraidah Fitriah, M. Muslikh, Said El Kafhali   +4 more
wiley   +1 more source

Secrecy Performance of Wireless Powered Communication Networks With Multiple Eavesdroppers and Outdated CSI

IEEE Access, 2018
In this paper, we present a comprehensive secrecy performance analysis of wireless powered communication networks with multiple eavesdroppers, where an energy-limited information source with multiple antennas harvests the radio frequency energy from a ...
Yuzhen Huang, Ping Zhang, Qihui Wu, Jinlong Wang   +3 more
doaj   +1 more source