QuIDS: A Quantum Support Vector machine-based Intrusion Detection System for IoT networks DOI
Rakesh Kumar, Mayank Swarnkar

Journal of Network and Computer Applications, Journal Year: 2024, Volume and Issue: unknown, P. 104072 - 104072

Published: Nov. 1, 2024

Language: Английский

A novel deep learning-based intrusion detection system for IoT DDoS security DOI
Selman Hızal, Ünal Çavuşoğlu, Devrim Akgün

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 28, P. 101336 - 101336

Published: Aug. 29, 2024

Language: Английский

Citations

10

Integrating Relationship Path and Entity Neighbourhood Information for Knowledge Graph Intelligence of Social Things DOI Creative Commons
Mohammad Shabaz, Mukesh Soni

Chinese journal of information fusion., Journal Year: 2025, Volume and Issue: 2(1), P. 27 - 37

Published: March 20, 2025

In the evolving framework of Intelligence Social Things (IoST), which amalgamates social networks and IoT ecosystems, knowledge graphs are essential for facilitating networked systems to efficiently process leverage intricate relational data. Knowledge offer technical assistance various artificial intelligence applications, such as e-commerce, intelligent navigation, healthcare, media. Nonetheless, current frequently lack completeness, harboring a considerable quantity implicit that remains be revealed. Consequently, tackling difficulty finalising has emerged pressing research priority. Most contemporary methods separately analyse entity neighbourhood information or connection routes, neglecting significance in investigation relationship paths. A novel approach, RPEN-KGC (Relationship Path Entity Neighbourhood Graph Completion), is suggested enable fusion paths graph completion. comprises sampler an inferencer. The conducts random walks between pairs furnish dependable inference utilises contrastive method grounded similarity steer walks, hence enhancing sampling efficiency augmenting strategies. inferencer derives semantic characteristics deduces greater variety within domain. Experiments performed on public NELL-995 FB15K-237 datasets link prediction task indicate significantly enhances most metrics relative baseline approaches. These findings demonstrate proficiently forecasts absent graphs.

Language: Английский

Citations

0

QuIDS: A Quantum Support Vector machine-based Intrusion Detection System for IoT networks DOI
Rakesh Kumar, Mayank Swarnkar

Journal of Network and Computer Applications, Journal Year: 2024, Volume and Issue: unknown, P. 104072 - 104072

Published: Nov. 1, 2024

Language: Английский

Citations

0