Enhancing information credibility using mathematical prediction

Funding: 2018: $130,066
2019: $120,000
2020: $126,475

Project Member(s): Yu, S.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2018

Summary: Enhancing information credibility using mathematical prediction. The aim of this project is to develop theory, techniques, mathematical tools and practical algorithms for rumor detection and forecast in social media to enhance credibility of news, especially in time-sensitive situations and trending events. This project will significantly advance human knowledge of rumor formation, detection, and forecast, which will enable timely and efficient counter attacks. The outcomes from this project will offer a reliable information environment for our society.

Publications:

Li, G, He, J, Peng, S, Jia, W, Wang, C, Niu, J & Yu, S 2019, 'Energy Efficient Data Collection in Large-Scale Internet of Things via Computation Offloading', IEEE Internet of Things Journal, vol. 6, no. 3, pp. 4176-4187.
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Liu, G, Quan, W, Cheng, N, Zhang, H & Yu, S 2019, 'Efficient DDoS attacks mitigation for stateful forwarding in Internet of Things', Journal of Network and Computer Applications, vol. 130, pp. 1-13.
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Sani, AS, Yuan, D, Jin, J, Gao, L, Yu, S & Dong, ZY 2019, 'Cyber security framework for Internet of Things-based Energy Internet', Future Generation Computer Systems, vol. 93, pp. 849-859.
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Wang, M, Xu, C, Chen, X, Hao, H, Zhong, L & Yu, S 2019, 'Differential Privacy Oriented Distributed Online Learning for Mobile Social Video Prefetching', IEEE Transactions on Multimedia, vol. 21, no. 3, pp. 636-651.
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Zhang, C, Wu, X, Zheng, X & Yu, S 2019, 'Driver Drowsiness Detection Using Multi-Channel Second Order Blind Identifications', IEEE Access, vol. 7, pp. 11829-11843.
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Zhang, J, Chen, J, Wu, D, Chen, B & Yu, S 1970, 'Poisoning Attack in Federated Learning using Generative Adversarial Nets', 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), IEEE, Rotorua, New Zealand, pp. 374-380.
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Fu, A, Li, S, Yu, S, Zhang, Y & Sun, Y 2018, 'Privacy-preserving composite modular exponentiation outsourcing with optimal checkability in single untrusted cloud server', Journal of Network and Computer Applications, vol. 118, pp. 102-112.
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Qu, Y, Yu, S, Gao, L, Zhou, W & Peng, S 2018, 'A Hybrid Privacy Protection Scheme in Cyber-Physical Social Networks', IEEE Transactions on Computational Social Systems, vol. 5, no. 3, pp. 773-784.
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Qu, Y, Yu, S, Zhou, W, Peng, S, Wang, G & Xiao, K 2018, 'Privacy of Things: Emerging Challenges and Opportunities in Wireless Internet of Things', IEEE Wireless Communications, vol. 25, no. 6, pp. 91-97.
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Zhou, L, Fu, A, Yu, S, Su, M & Kuang, B 2018, 'Data integrity verification of the outsourced big data in the cloud environment: A survey', Journal of Network and Computer Applications, vol. 122, pp. 1-15.
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Huang, L, Zhang, G, Yu, S, Fu, A & Yearwood, J 1970, 'Customized Data Sharing Scheme Based on Blockchain and Weighted Attribute', 2018 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2018 - 2018 IEEE Global Communications Conference, IEEE, Abu Dhabi, U ARAB EMIRATES.
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Qu, Y, Yu, S, Zhou, W & Niu, J 1970, 'FBI: Friendship Learning-Based User Identification in Multiple Social Networks', 2018 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2018 - 2018 IEEE Global Communications Conference, IEEE, Abu Dhabi, United Arab Emirates.
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FOR Codes: Computer System Security, Global Information Systems, Information Processing Services (incl. Data Entry and Capture), Publishing and Print Services (incl. Internet Publishing), Inter-organisational, extra-organisational and global information systems, System and network security, Publishing and print services, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.