Title: "Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection  "  

Authors: Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

Date: May 2024

Download: link

Publication: Under Review (On Arxiv Now)

Open set anomaly detection (OSAD) is a crucial task that aims to identify abnormal patterns or behaviors in data sets, especially when the anomalies observed during training do not represent all possible classes of anomalies. The recent advances in quantum computing in handling complex data structures and improving machine learning models herald a paradigm shift in anomaly detection methodologies. This study proposes a Quantum Scoring Module (Qsco), embedding quantum variational circuits into neural networks to enhance the model’s processing capabilities in handling uncertainty and unlabeled data. 

Title: "Hybrid Quantum Downsampling Networks "  

Authors: Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

Date: May 2024

Download: link

Publication: Under Review (On Arxiv Now)

Classical max pooling plays a crucial role in reducing data dimensionality among various well-known deep learning models, yet it often leads to the loss of vital information. We proposed a novel hybrid quantum downsampling module (HQD), which is a noise-resilient algorithm. By integrating a substantial number of quantum bits (qubits), our approach ensures the key characteristics of the original image are maximally preserved within the local receptive field. 

Title: "Radar Altimeter Coexistence Design in the 4.2-4.4 GHz Band: Mitigating Multi-Stage Interference Risks in 5G and Beyond"  

Authors: Jarret Rock and Ying Wang

Date: June 2024

Download: link

Publication: IEEE Aerospace and Electronic Systems Magazine, 2024

This paper addresses safety concerns in aviation arising from the 5G network's interference with radar altimeters on 14 CFR Pt 25 category aircraft, predominantly used in passenger travel. This work is the result of Jarret's SYS800 course. Congratulations on his first research work being published in the prestigious IEEE Aerospace and Electronic Systems Magazine!

Title: "Securing the Unprotected: Enhancing Heartbeat Messaging for MAVLink UAV Communications"

Authors: Isabel Hughes, Adriel Pupo, Jenna Wynd, Zachary Thurlow, Connor Ivancik, and Ying Wang

Date: June 2024

Publication:2024 IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing (PACRIM’24)

This is the effort of the 2023-2024 Undergraduate Senior Design Group UAV-Security. Congratulations on reaching their first research experience milestone! Their paper, "Securing the Unprotected: Enhancing Heartbeat Messaging for MAVLink UAV Communications" has been accepted by the 2024 IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing (PACRIM’24).

Minimizing Age of Information: Adaptive Spectrum Sharing in Ultra-Reliable and Low-Latency eVTOL Communications

by

Ishan Aryendu, Sudhanshu Arya, and Ying Wang

Jun, 2024

 This paper has been accepted at the IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks (WoWMoM) 2024

Link

Formal-Guided Fuzz Testing: Targeting Security Assurance from Specification to Implementation for 5G and Beyond

by

Jingda Yang and Ying Wang

Feb, 2024

 This paper has been accepted at IEEE Access

Towards Auto-Modeling of Formal Verification for NextG Protocols: A Multimodal cross- and self-attention Large Language Model Approach

by

Jingda Yang and Ying Wang

Feb, 2024

 This paper has been accepted at IEEE Access

link

Dr. Ying Wang, Associate Professor in the School of Systems and Enterprises, has been selected to receive the Tom Ode Richardson Faculty Fellowship

12/06/2024

The Tom Ode Richardson Faculty Fellowship, previously known as the Stevens Presidential Fellowship, recognizes a faculty member’s achievements in research and their potential for future contributions and impact.

Domain Knowledge Powered Machine Learning for the Classification of LOS/NLOS Signals for Dedicated-Spectrum SAGIN Networks

by

Mingze Pan,  Sudhanshu Arya  and Ying Wang

Feb, 2024

 This paper has been accepted at 2024 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)

Dependency-Graph enabled Formal Analysis for 5G AKA Protocols: Assumption Propagation and Verification

by

Jingda Yang,  and Ying Wang

Jan, 2024

 This paper has been accepted at 

2024 IEEE International Conference on Communications (ICC)

Real-Time UAV Collaborative Beam Reforming for Coexistent Satellite-Terrestrial Communications

by

Sudhanshu Arya, Jingda Yang, Paul Grogan and Ying Wang

Dec, 2023

 This paper has been accepted at the 

2024 IEEE Aerospace Conference 

GeTOA: Game-Theoretic Optimization for AOI of Ultra-Reliable eVTOL Collaborative Communication

by

I. Aryendu, S. Arya and Y. Wang

Dec, 2023

 This paper has been accepted at 

2024 IEEE Wireless Communications and Networking Conference (WCNC)

Link

Bayesian Inference-assisted Machine Learning for Near Real-Time Jamming Detection and Classification in 5G New Radio (NR)

by

S. Jere, Y. Wang, I.Aryendu, S. Dayek, L.Liu

Nov, 2023

 This paper has been accepted by IEEE Transaction of Wireless Communications.

RAFT: A Real-Time Framework for Root Cause Analysis in 5G and Beyond Vulnerability Detection

by

Y. Peng, X. Li, J. Yang, S. Arya and Y. Wang

Oct, 2023

 By processing the random fragments of the logging profiles captured during fuzz testing with the continuous bag-of-words (CBOW) Model, we extract the information of states and states transitions to identifythe root cause for vulnerability detection in the 5G system.  This paper has been accepted at the IEEE Consumer Communications & Networking Conference (CCNC).

DEFT: A Novel Deep Framework for Fuzz Testing Performance Evaluation in NextG Vulnerability Detection

by

Y. Peng, X. Li, S. Arya and Y. Wang

Oct, 2023

DEFT can be further applied to identifying the type of attacks or abnormal inputs from the partial system profiling for the impacted behaviors.  This paper has been accepted at IEEE Access.

HyFuzz: A NextG Hybrid Testing Platform for Multi-step Deep Fuzzing and Performance Assessment from Virtualization to Over-the-Air

by

J. Yang and Y. Wang 

Oct, 2023

The paper presents HyFuzz, the first-of-its-kind framework that enables multi-step interactive deep fuzzing for NextG cybersecurity assurance.  This paper has been accepted at IEEE CloudNet 2023.

SmiLe Net: A Supervised Graph Embedding-based

Machine Learning Approach for NextG

Vulnerability Detection

by

Y. Peng, J. Yang, S. Arya and Y. Wang 

Aug, 2023

This paper presents a new approach named SmiLe Net for

5G vulnerability detection. We focus primarily on predicting

the information about the fuzzed layer and performing the root

cause analysis in fuzzing test log files.  This paper has been presentd at IEEE Milcom 2023.

Towards the Designing of Low-Latency SAGIN: Ground-to-UAV Communications over Interference Channel

by

S. Arya, J. Yang and Y. Wang 

July, 2023

A novel and first-of-its-kind information-theoretic framework for the implementation of ground-to-UAV communication with an aim to minimize transmission delay has been published in Drones.

Characterization of Low-Latency Next-Generation eVTOL Communications: From Channel Modeling to Performance Evaluation

by

B. Mak, S. Arya, Y. Wang and J. Ashdown  

July, 2023

A nonstationary geometry-based stochastic channel modeling and characterization for next-generation eVTOL communications has been published in Electronics.