Publications
Privacy preservation in IoT : machine learning approaches : a comprehensive survey and use cases
Y Qu, L Gao, S Yu, Y Xiang
(2022), Singapore, A1
A Covert Electricity-Theft Cyberattack Against Machine Learning-Based Detection Models
L Cui, L Guo, L Gao, B Cai, Y Qu, Y Zhou, S Yu
(2022), Vol. 18, pp. 7824-7833, IEEE Transactions on Industrial Informatics, Piscataway, N.J., C1
A Light-weight and Attack-Proof Bidirectional Blockchain Paradigm for Internet of Things
Chenhao Xu, Youyang Qu, Tom Luan, Peter Eklund, Yong Xiang, Longxiang Gao
(2022), pp. 1-13, IEEE Internet of Things Journal, Piscataway, N.J., C1
Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures
L Cui, Y Qu, G Xie, D Zeng, R Li, S Shen, S Yu
(2022), Vol. 18, pp. 3492-3500, IEEE Transactions on Industrial Informatics, Piscataway, NJ, C1
Security-Aware and Privacy-Preserving Personal Health Record Sharing Using Consortium Blockchain
Y Wang, A Zhang, P Zhang, Y Qu, S Yu
(2022), Vol. 9, pp. 12014-12028, IEEE Internet of Things Journal, C1
Privacy-preserving blockchain-enabled federated learning for B5G-Driven edge computing
Y Wan, Y Qu, L Gao, Y Xiang
(2022), Vol. 204, pp. 1-13, Computer Networks, Amsterdam, The Netherlands, C1
Blockchain-Empowered Secure and Privacy-Preserving Health Data Sharing in Edge-Based IoMT
X Nie, A Zhang, J Chen, Y Qu, S Yu
(2022), Vol. 2022, pp. 1-16, Security and Communication Networks, Cairo, Egypt, C1
Near-Optimal Energy-Efficient Algorithm for Virtual Network Function Placement
X Zhang, Z Xu, L Fan, S Yu, Y Qu
(2022), Vol. 10, pp. 553-567, IEEE Transactions on Cloud Computing, Piscataway, N.J., C1
FedTwin: Blockchain-Enabled Adaptive Asynchronous Federated Learning for Digital Twin Networks
Y Qu, L Gao, Y Xiang, S Shen, S Yu
(2022), Vol. 36, pp. 183-190, IEEE Network, C1
Dual Scheme Privacy-Preserving Approach for Location-Aware Application in Edge Computing
B Gu, Y Qu, K Ahmed, W Ye, C Tan, Y Miao
(2022), Vol. 428 LNICST, pp. 301-316, EAI 2021: Proceedings of the ADHOCNETS 13th International Conference on Ad hoc networks and tools for IT and EAI 2021: Proceedings of the TRIDENTCOM 16th International Conference, Virtual event, E1
Survey on Bridge Discovery in Tor
F Yu, R Zhou, X Zhai, Y Qu, G Fei
(2022), Vol. 428, pp. 317-326, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Berlin, Germany, E1
Personalized Privacy-Preserving Medical Data Sharing for Blockchain-based Smart Healthcare Networks
Y Qu, S Chen, L Gao, L Cui, K Sood, S Yu
(2022), Vol. 2022-May, pp. 4229-4234, ICC 2022 : International Conference on Communications : Proceedings ofInstitute of Electrical and Electronics Engineers 2022 conference, Seoul, Republic of Korea, E1
Privacy-preserving in edge computing
Longxiang Gao, Tom Luan, Bruce Gu, Youyang Qu, Yong Xiang
(2021), Singapore, A1
Personalized privacy protection in big data
Youyang Qu, Mohammad Nosouhi, Lei Cui, Shui Yu
(2021), Singapore, A1
A blockchained federated learning framework for cognitive computing in industry 4.0 networks
Youyang Qu, Shiva Pokhrel, Sahil Garg, Longxiang Gao, Yong Xiang
(2021), Vol. 17, pp. 2964-2973, IEEE transactions on industrial informatics, Piscataway, N.J., C1
Privacy-Aware Autonomous Valet Parking: Towards Experience Driven Approach
S Pokhrel, Y Qu, S Nepal, S Singh
(2021), Vol. 22, pp. 5352-5363, IEEE Transactions on Intelligent Transportation Systems, C1
Customizable Reliable Privacy-Preserving Data Sharing in Cyber-Physical Social Networks
Y Qu, S Yu, W Zhou, S Chen, J Wu
(2021), Vol. 8, pp. 269-281, IEEE Transactions on Network Science and Engineering, C1
DP-GAN: Differentially private consecutive data publishing using generative adversarial nets
S Ho, Y Qu, B Gu, L Gao, J Li, Y Xiang
(2021), Vol. 185, Journal of Network and Computer Applications, C1
Blockchain-enabled asynchronous federated learning in edge computing
Y Liu, Y Qu, C Xu, Z Hao, B Gu
(2021), Vol. 21, Sensors, Switzerland, C1
A Blockchain-Based Cooperative Perception in Internet of Vehicles
Xinghao Li, Chenchen Tan, M Liu, T Luan, Longxiang Gao, Youyang Qu
(2021), pp. 1-6, VTC2021-Fall : Proceedings of the IEEE 94th Vehicular Technology Conference, Norman, Okla., E1
Digital Twin Based Remote Resource Sharing in Internet of Vehicles using Consortium Blockchain
Chenhen Tan, X Li, T Luan, B Gu, Y Qu, L Gao
(2021), pp. 1-6, VTC2021-Fall : Proceedings of the IEEE 94th Vehicular Technology Conference, Norman, Okla., E1
Y Wan, Y Qu, L Gao, Y Xiang
(2021), Vol. 2021-September, pp. 1-6, ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and Communications, Athens, Greece, E1
BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework
C Xu, Y Qu, P Eklund, Y Xiang, L Gao
(2021), pp. 1-6, ISCC 2021 : Proceedings of the 2021 IEEE Symposium on Computers and Communications, Athens, Greece, E1
GPDP: Game-Enhanced Personalized Differentially Private Smart Community
Y Zhang, Y Qu, L Gao, B Gu, L Cui, X Zhai
(2021), pp. 238-243, Proceedings - IEEE Congress on Cybermatics: 2021 IEEE International Conferences on Internet of Things, iThings 2021, IEEE Green Computing and Communications, GreenCom 2021, IEEE Cyber, Physical and Social Computing, CPSCom 2021 and IEEE Smart Data, SmartData 2021, Virtual Conference, E1
Blockchain-driven privacy-preserving machine learning
Y Qu, L Gao, Y Xiang
(2020), pp. 189-200, Blockchains for network security: Principles, technologies and applications, London, Eng., B1
Decentralized privacy using blockchain-enabled federated learning in fog computing
Y Qu, L Gao, T Luan, Y Xiang, S Yu, B Li, G Zheng
(2020), Vol. 7, pp. 5171-5183, IEEE Internet of Things Journal, C1
QoS-aware personalized privacy with multipath TCP for industrial IoT: Analysis and design
S Pokhrel, Y Qu, L Gao
(2020), Vol. 7, pp. 4849-4861, IEEE Internet of Things Journal, C1
Detecting false data attacks using machine learning techniques in smart grid: A survey
L Cui, Y Qu, L Gao, G Xie, S Yu
(2020), Vol. 170, Journal of Network and Computer Applications, C1
Generative adversarial networks enhanced location privacy in 5G networks
Y Qu, J Zhang, R Li, X Zhang, X Zhai, S Yu
(2020), Vol. 63, Science China Information Sciences, C1
Privacy on the edge: customizable privacy-preserving context sharing in hierarchical edge computing
B Gu, L Gao, X Wang, Y Qu, J Jin, S Yu
(2020), Vol. 7, pp. 2298-2309, IEEE transactions on network science and engineering, Piscataway, N.J., C1
GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems
Youyang Qu, Shui Yu, Wanlei Zhou, Yonghong Tian
(2020), Vol. 7, pp. 2576-2586, IEEE Transactions on Network Science and Engineering, Piscataway, N.J., C1
Generative Adversarial Nets Enhanced Continual Data Release Using Differential Privacy
S Ho, Y Qu, L Gao, J Li, Y Xiang
(2020), pp. 418-426, ICA3PP 2019 : Algorithms and architectures for parallel processing : 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9-11, 2019, Proceedings, Melbourne, Victoria, E1
Null model and community structure in heterogeneous networks
Xuemeng Zhai, Wanlei Zhou, Gaolei Fei, Hangyu Hu, Youyang Qu, Guangmin Hu
(2020), Vol. 11945, pp. 151-163, ICA3PP 2019 : Proceedings of the 19th International Conference on Algorithms and Architectures for Parallel Processing, Melbourne, Vic., E1
Reliable customized privacy-preserving in Fog computing
X Wang, B Gu, Y Qu, Y Ren, Y Xiang, L Gao
(2020), Vol. July 2020, ICC 2020 : Proceedings of the IEEE International Conference on Communications, Dublin, Ireland, E1
Location-aware privacy preserving scheme in SDN-enabled fog computing
B Gu, X Wang, Y Qu, J Jin, Y Xiang, L Gao
(2020), Vol. 1268 CCIS, pp. 176-190, SPDE 2020 : Proceedings of the First International Conference on Security and Privacy in Digital Economy, Quzhou, China, E1
A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System
X Wang, B Gu, Y Qu, Y Ren, Y Xiang, L Gao
(2020), Vol. 12570, pp. 408-418, NSS 2020 : Proceedings of the 14th International Network and system Security Conference, Melbourne, Australia, E1
Privacy preservation in smart cities
Y Qu, Mohammad Nosouhi, Lei Cui, Shui Yu
(2019), pp. 75-88, Smart cities cybersecurity and privacy, Amsterdam, The Netherlands, B1
Improving data utility through game theory in personalized differential privacy
L Cui, Y Qu, M Nosouhi, S Yu, J Niu, G Xie
(2019), Vol. 34, pp. 272-286, Journal of computer science and technology, New York, N.Y., C1
APDP: attack-proof personalized differential privacy model for a smart home
Y Zhang, Y Qu, L Gao, T Luan, X Zheng, S Chen, Y Xiang
(2019), Vol. 7, pp. 166593-166605, IEEE access, Piscataway, N.J., C1
Regression analysis with differential privacy preserving
X Fang, F Yu, G Yang, Y Qu
(2019), Vol. 7, pp. 129353-129361, IEEE access, Piscataway, N.J., C1
Context-aware privacy preservation in a hierarchical fog computing system
B Gu, X Wang, Y Qu, J Jin, Y Xiang, L Gao
(2019), pp. 1-6, ICC 2019 : Proceedings of the 2019 IEEE International Conference on Communications, Shanghai, China, E1
GAN-DP: generative adversarial net driven differentially privacy-preserving big data publishing
Y Qu, S Yu, J Zhang, H Binh, L Gao, W Zhou
(2019), ICC 2019 : Proceedings of the 2019 IEEE International Conference on Communications, Shanghai, China, E1
Decentralized privacy-preserving reputation management for mobile crowdsensing
L Ma, Q Pei, Y Qu, K Fan, X Lai
(2019), Vol. 304, pp. 532-548, SecureComm 2019 : Proceedings of the 15th EAI International Conference on Security and Privacy in Communication Networks, Orlando, Fla., E1
X Zhai, H Hu, G Hu, Y Qu
(2019), pp. 1-7, ACM TURC 2019 : Proceedings of the ACM Turing Celebration Conference - China, Chengdu, China, E1
A hybrid privacy protection scheme in cyber-physical social networks
Y Qu, S Yu, L Gao, W Zhou, S Peng
(2018), Vol. 5, pp. 773-784, IEEE Transactions on Computational Social Systems, C1
Security and privacy in smart cities: Challenges and opportunities
L Cui, G Xie, Y Qu, L Gao, Y Yang
(2018), Vol. 6, pp. 46134-46145, IEEE Access, C1
Expression preserved face privacy protection based on multi-mode discriminant analysis
X Wang, C Xiong, Q Pei, Y Qu
(2018), Vol. 57, pp. 107-121, CMC: computers, materials & continua, Encino, Calif., C1
Privacy of things: emerging challenges and opportunities in wireless Internet of Things
Y Qu, S Yu, W Zhou, S Peng, G Wang, K Xiao
(2018), Vol. 25, pp. 91-97, IEEE wireless communications, Piscataway, N.J., C1
A trust-grained personalized privacy-preserving scheme for big social data
L Cui, Y Qu, S Yu, Longxiang Gao, Gang Xie
(2018), pp. 1-6, IEEE ICC 2018 : International Conference on Communications, Kansas City, Missouri, E1
FBI: friendship learning-based user identification in multiple social networks
Y Qu, S Yu, W Zhou, J Niu
(2018), GLOBECOM2018 : Proceedings of the 2018 IEEE Global Communications Conference : Gateway to a Connected World, Abu Dhabi, United Arab Emirates, E1
A Novel Multipath-Transmission Supported Software Defined Wireless Network Architecture
C Xu, W Jin, G Zhao, H Tianfield, S Yu, Y Qu
(2017), Vol. 5, pp. 2111-2125, IEEE Access, C1
Privacy preserving in big data sets through multiple shuffle
Y Qu, J Xu, S Yu
(2017), ACSW17 : Proceedings of the Australasian Computer Science Week Multiconference, Geelong, Victoria, E1
Big data set privacy preserving through sensitive attribute-based grouping
Y Qu, S Yu, L Gao, J Niu
(2017), pp. 4887-4892, ICC 2017 : Proceedings of the 2017 IEEE International Conference on Communications, Paris, France, E1
Studying the global spreading influence and local connections of users in online social networks
J Jiang, Y Qu, S Yu, W Zhou, W Wu
(2017), pp. 431-435, CIT 2016 : Proceedings of the 16th IEEE International Conference on Computer and Information Technology, Nadi, Fiji, E1
FuzzyDP: Fuzzy-based Big Data Publishing Against Inquiry Attacks
Youyang Qu, Shui Yu, Longxiang Gao, Sancheng Peng, Yong Xiang, Liang Xiao
(2017), pp. 7-12, 2017 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), Atlanta, GA, E1
Distance-based location privacy protection in social networks
M Nosouhi, Y Qu, S Yu, Y Xiang, D Manuel
(2017), pp. 396-401, ITNAC 2017: Proceedings of the 27th International Telecommunication Networks and Applications Conference, Melbourne, Australia, E1
Funded Projects at Deakin
No Funded Projects at Deakin found
Supervisions
No completed student supervisions to report