Mobile AI Cybersecurity Computing
Title: "Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection "
Authors: Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang
Date: May 2024
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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
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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
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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
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
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)
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.
Undergraduate Senior Design Group selected as Best Senior Design Project "Digital Twins for 5G Cybersecurity"
May 2, 2023
Automated Vulnerability Testing and Detection Digital Twin Framework for 5G Systems by Danielle Dauphinais, Michael Zylka, Harris Spahic, Farhan Shaik, Isabella Cruz, Jakob Gibson adviced by Ying Wang have won Computer Science departments Best senior design project.
IEEE NetSoft Demo Paper Published by Undergraduate Senior Design Group
April 25, 2023
Automated Vulnerability Testing and Detection Digital Twin Framework for 5G Systems by Danielle Dauphinais, Michael Zylka, Harris Spahic, Farhan Shaik, Jingda Yang, Isabella Cruz, Jakob Gibson Ying Wang are accepted for presenting at IEEE NetSoft 2023.
Defense Data Grand Prix: Heat III First and Fouth Place
March 30, 2023
The Stevens SYS800 team led by Dr.Ying Wang Stevens team demonstrated predictive relationships between flight and maintenance hours. the George Mason and Stevens Institute teams tied, each earning a $25K award for their outstanding efforts.
The Stevens' SSW565 team led by Dr. Ying Wang competed in the area of Identifying Raw Materials for Industrial Capability Program and placed fourth overall.
Learn more about the challenge here.
IEEE CCNC Paper Published and Presented
Jan 12, 2023
Jingda Yang(Ph.D)'s paper 5G RRC Protocol and Stack Vulnerabilities Detection via Listen-and-Learn is published and presented at IEEE Consumer Communications & Networking Conference
Wearable Integrity in 5G
Aug 21 , 2022
Paper 'Data Integrity and Causation Analysis for Wearable Devices in 5G' is accepted at IEEE International Conference on E-health Networking, Application & Services and will be presented on 17 October 2022, Genoa, Italy
More information can be found here
Intelligent Code Review Paper Accepted at HCSE&CS 2022
Aug 23, 2022
The paper is converted from course SSW565 student project. It was accepted for presentation at HCSE&CS 2022.
More information about the conference can be found here.
Defense Data Grand Prix: Heat II Second Place
July 11, 2022
The MACC Team is awarded second place in Heat 2 of the Defense Data Grand Prix.
Learn more about the challenge here.
May 26, 2022
Undergraduate Pinnacle Scholar, Mackenzy Garden, joins the MACC team for Summer 2022 to work on the Wearable Devices project.
Explore the Pinnacle Scholars Program here.
May 26, 2022
Undergraduate Pinnacle Scholar, Katie Ng, joins the MACC team for Summer 2022 to work on Cellular Vehicle-to-Everything (C-V2X) research. Her project explores the reliability and scalability of autonomous resource selection in vehicular communications.
Explore the Pinnacle Scholars Program here.
SSE Dean's Initiative Collaboration Award
April 12, 2022
In collaboration with Dr. Liao of Stevens Institute of Technology, Dr. Wang received the SSE Dean's Initiative Award for Collaboration for exceptional work done on the User Interactive and Data-Driven NextG Experimental Platform.
More information about the award here.
Defense Data Grand Prix: Heat I First Place
February 14, 2022
The SSW565 team places first in Heat 1 of the Defense Data Grand Prix. Dr. Wang and her team of graduate students (Savannah Bergen ’22 and Aboubacar Diawara ’21) submitted a project to enhance the efficiency of information transforming and assist in the Defense Logistics Agency's (DLA) real-time decision-making.
Read more about the team here.