activity
20192026
most citedCyber Deception for Computer and Network Security: Survey and Challenges

13 citations · 36 across the 10 of their papers we have counts for

collaborators

10 papers

cs.NI2026

When to Use Wireless Challenge-Response Physical Layer Authentication: Design of a Measurable Guideline for OFDM

Haiyun Liu, Shangqing Zhao, Yao Liu +1

The security of wireless challenge-response Physical Layer Authentication (PLA) based on Orthogonal Frequency Division Multiplexing (OFDM) relies on a sufficiently random fading ch…

quant-ph2024

Quantum Machine Learning: Performance and Security Implications in Real-World Applications

Zhengping Jay Luo, Tyler Stewart, Mourya Narasareddygari +2

Quantum computing has garnered significant attention in recent years from both academia and industry due to its potential to achieve a "quantum advantage" over classical computers.…

cs.CR2024

Detecting Adversarial Spectrum Attacks via Distance to Decision Boundary Statistics

Wenwei Zhao, Xiaowen Li, Shangqing Zhao +3

Machine learning has been adopted for efficient cooperative spectrum sensing. However, it incurs an additional security risk due to attacks leveraging adversarial machine learning…

cs.NI2023★ 1 cited

Data-Driven Next-Generation Wireless Networking: Embracing AI for Performance and Security

Jiahao Xue, Zhe Qu, Shangqing Zhao +2

New network architectures, such as the Internet of Things (IoT), 5G, and next-generation (NextG) cellular systems, put forward emerging challenges to the design of future wireless…

cs.SD2022★ 2 cited

Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception

Rui Duan, Zhe Qu, Shangqing Zhao +3

Recently, adversarial machine learning attacks have posed serious security threats against practical audio signal classification systems, including speech recognition, speaker reco…

cs.LG2022★ 5 cited

LoMar: A Local Defense Against Poisoning Attack on Federated Learning

Xingyu Li, Zhe Qu, Shangqing Zhao +3

Federated learning (FL) provides a high efficient decentralized machine learning framework, where the training data remains distributed at remote clients in a network. Though FL en…

cs.CR2021

How to Test the Randomness from the Wireless Channel for Security?

Zhe Qu, Shangqing Zhao, Jie Xu +2

We revisit the traditional framework of wireless secret key generation, where two parties leverage the wireless channel randomness to establish a secret key. The essence in the fra…

cs.CR2020★ 13 cited

Cyber Deception for Computer and Network Security: Survey and Challenges

Zhuo Lu, Cliff Wang, Shangqing Zhao

Cyber deception has recently received increasing attentions as a promising mechanism for proactive cyber defense. Cyber deception strategies aim at injecting intentionally falsifie…

eess.SP2020★ 3 cited

Adversarial Machine Learning based Partial-model Attack in IoT

Zhengping Luo, Shangqing Zhao, Zhuo Lu +2

As Internet of Things (IoT) has emerged as the next logical stage of the Internet, it has become imperative to understand the vulnerabilities of the IoT systems when supporting div…

cs.NI2019★ 12 cited

When Attackers Meet AI: Learning-empowered Attacks in Cooperative Spectrum Sensing

Zhengping Luo, Shangqing Zhao, Zhuo Lu +2

Defense strategies have been well studied to combat Byzantine attacks that aim to disrupt cooperative spectrum sensing by sending falsified versions of spectrum sensing data to a f…