5 papers
AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models
Bao-Phong Nguyen, Gia-Khanh Pham, Thai-Duong Do +7
The increasing complexity and scale of modern cyber-attacks demand intelligent and computationally efficient Intrusion Detection Systems (IDS). However, designing effective data pr…
Effective Intrusion Detection for UAV Communications using Autoencoder-based Feature Extraction and Machine Learning Approach
Tuan-Cuong Vuong, Cong Chi Nguyen, Van-Cuong Pham +3
This paper proposes a novel intrusion detection method for unmanned aerial vehicles (UAV) in the presence of recent actual UAV intrusion dataset. In particular, in the first stage…
Generalized BER of MCIK-OFDM with Imperfect CSI: Selection combining GD versus ML receivers
Vu-Duc Ngo, Thien Van Luong, Nguyen Cong Luong +3
This paper analyzes the bit error rate (BER) of multicarrier index keying - orthogonal frequency division multiplexing (MCIK-OFDM) with selection combining (SC) diversity reception…
Enhancing Diversity of OFDM with Joint Spread Spectrum and Subcarrier Index Modulations
Vu-Duc Ngo, Thien Van Luong, Nguyen Cong Luong +4
This paper proposes a novel spread spectrum and sub-carrier index modulation (SS-SIM) scheme, which is integrated to orthogonal frequency division multiplexing (OFDM) framework to…
Pilot Assignment for Joint Uplink-Downlink Spectral Efficiency Enhancement in Massive MIMO Systems with Spatial Correlation
Tien Hoa Nguyen, Trinh Van Chien, Hien Quoc Ngo +2
This paper proposes a flexible pilot assignment method to jointly optimize the uplink and downlink data transmission in multi-cell Massive multiple input multiple output (MIMO) sys…