Hua Liu
University of New South Wales
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Publication
Featured researches published by Hua Liu.
international conference on web services | 2011
Suriadi Suriadi; Douglas Stebila; Andrew J. Clark; Hua Liu
The interoperable and loosely-coupled web services architecture, while beneficial, can be resource-intensive, and is thus susceptible to denial of service (DoS) attacks in which an attacker can use a relatively insignificant amount of resources to exhaust the computational resources of a web service. We investigate the effectiveness of defending web services from DoS attacks using client puzzles, a cryptographic countermeasure which provides a form of gradual authentication by requiring the client to solve some computationally difficult problems before access is granted. In particular, we describe a mechanism for integrating a hash-based puzzle into existing web services frameworks and analyze the effectiveness of the countermeasure using a variety of scenarios on a network test bed. Client puzzles are an effective defence against flooding attacks. They can also mitigate certain types of semantic-based attacks, although they may not be the optimal solution.
Key Engineering Materials | 2004
Hua Liu; Kum Cheol Shin; Jung Ju Lee; Z.M. Cai
The influence of a biasing electric field on the propagation of the lowest-order antisymmetrical a0 Lamb wave modes in a bi-layered piezoelectric plate is investigated in this paper. It is found that the velocity shifts for the a0 mode due to presence of the bias field on the 10- µm LiNbO3 film structure are comparable with those observed in surface acoustic waves and Lamb waves in LiNbO3 plates. The fractional change in phase velocity of the layered piezoelectric structure is a linear function of the biasing electric field and can be used in voltage sensors.
Key Engineering Materials | 2005
Jun Wang; Hua Liu
Predictive models for the particle velocity in an abrasive waterjet (AWJ) are developed following a CFD (computational fluid dynamics) study. A numerical study is then carried out to assess the models. It is shown that the predictive models can adequately predict this particle characteristic in an AWJ.
Journal of Materials Processing Technology | 2004
Hua Liu; Jun Wang; Neil A. Kelson; Richard J. Brown
International Journal of Machine Tools & Manufacture | 2008
D.K. Shanmugam; Jun Wang; Hua Liu
Faculty of Science and Technology; Information Security Institute | 2011
Suriadi Suriadi; Douglas Stebila; Andrew J. Clark; Hua Liu
Faculty of Built Environment and Engineering | 2004
Hua Liu
Key Engineering Materials | 2003
Hua Liu; Jun Wang; Richard J. Brown; Neil A. Kelson
ieee international conference on high performance computing data and analytics | 2004
Hua Liu; Jun Wang; Neil A. Kelson; Richard J. Brown
ieee international conference on high performance computing data and analytics | 2003
Hua Liu; Jun Wang; Neil A. Kelson; Richard J. Brown