Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey

H Kurunathan, H Huang, K Li, W Ni… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …

Detection and mitigation of position spoofing attacks on cooperative uav swarm formations

S Bi, K Li, S Hu, W Ni, C Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Detecting spoofing attacks on the positions of unmanned aerial vehicles (UAVs) within a
swarm is challenging. Traditional methods relying solely on individually reported positions …

Differential privacy protection scheme based on community density aggregation and matrix perturbation

H Huang, Z Yan, X Tang, F Xiao, Q Li - Information Sciences, 2022 - Elsevier
With the development and popularity of social networks, the security issues of personal data
await effective solution. We propose a differential privacy protection scheme for social …

Cascading failures modeling of electronic circuits with degradation using impedance network

Y Jin, Q Zhang, Y Chen, Z Lu, T Zu - Reliability Engineering & System …, 2023 - Elsevier
Due to the complex structural and functional coupling of electronic circuit systems,
cascading failures have gradually become a significant threat for their reliability. Though …

A mobility-based epidemic model for IoT malware spread

BR Chen, SM Cheng, MB Mwangi - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid advancement of technology, IoT has become inseparable from human lives.
IoT is extensively used in transport, healthcare, and manufacturing, among other sectors …

Compact pairwise methods for susceptible–infected–susceptible epidemics on weighted heterogeneous networks

Q Wu, KMA Kabir - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
We analyze the spreading of susceptible–infected–susceptible epidemics on random
networks with general weight and degree distributions. We generalize the compact pairwise …

Sequential node attack of complex networks based on Q-learning method

W Ma, J Fang, J Wu - 2021 IEEE International Symposium on …, 2021 - ieeexplore.ieee.org
The security issue of complex network systems, such as communication systems and power
grids, has attracted increasing attention due to cascading failure threats. Many existing …

Epidemic Spreading on Weighted Co-Evolving Multiplex Networks

B Song, H Wu, Y Song, X Wang, G Jiang - Mathematics, 2023 - mdpi.com
The individual behaviors driven by information diffusion show an undeniable impact on the
process of epidemic spreading and have been continuously evolving with the dynamic …

Probabilistic machine learning using social network analysis

A Rohini, TS Muthu, T Choudhury - Proceedings of International …, 2021 - Springer
The link prediction method analyzes the nodes and edges in the social network. This paper
explores the factors to influence the educational opportunities in their institution for the …

A Novel Metric to Quantify the Real-Time Robustness of Complex Networks With Respect to Epidemic Models

B Song, GP Jiang, Y Song, J Yang, X Wang… - Frontiers in …, 2022 - frontiersin.org
Spread velocity, epidemic threshold, and infection density at steady state are three non-
negligible features describing the spread of epidemics. Combining these three features …