Sequential attribute-based encryption: new cryptographic framework, constructions and applications towards cloud security. The purpose of this project is to find niche and significant techniques to preserve the order of attributes in modern cryptography. Novel cryptographic techniques applicable to securing important areas, such as cloud computing and anonymous credential systems will be developed, which will lead to commercialisation.
Secure and dynamic access control over encrypted data in the cloud. This project aims to enable dynamic access control due to organisational change, which is critical to enable the adoption of cloud computing in practice. Access control over encrypted outsourced data is an essential requirement for enabling practical, secure storage. This project will be underpinned by a study of constructing new cryptographic primitives for enabling cipher-text changes without the need for refreshing the users’ ....Secure and dynamic access control over encrypted data in the cloud. This project aims to enable dynamic access control due to organisational change, which is critical to enable the adoption of cloud computing in practice. Access control over encrypted outsourced data is an essential requirement for enabling practical, secure storage. This project will be underpinned by a study of constructing new cryptographic primitives for enabling cipher-text changes without the need for refreshing the users’ secret keys. The expected outcomes will bridge theory and practice, providing economic benefits to industry by enabling practical mechanisms to store confidential user’s information in the cloud, hence lowering the infrastructure cost for industry.Read moreRead less
Securing Public Cloud Storage with Protection against Malicious Senders. Public cloud storage offers low-cost solutions for small and medium-sized enterprises. However, cloud data leakage is a major concern. Encrypting data with a security policy before storing in the cloud does not solve the problem due to the presence of malicious senders who deliberately make encrypted data accessible beyond the described policy. This project aims to enable secure public cloud storage by developing new practi ....Securing Public Cloud Storage with Protection against Malicious Senders. Public cloud storage offers low-cost solutions for small and medium-sized enterprises. However, cloud data leakage is a major concern. Encrypting data with a security policy before storing in the cloud does not solve the problem due to the presence of malicious senders who deliberately make encrypted data accessible beyond the described policy. This project aims to enable secure public cloud storage by developing new practical cryptographic solutions that provide protection against malicious senders, in contrast to the existing knowledge that can only cope with malicious receivers. The expected outcomes are innovative technologies, which will lower infrastructure costs and provide cybersecurity for cloud storage.Read moreRead less
Privacy-Preserving Location Based Queries. This project aims to develop efficient solutions for mobile users to consume location-based services (LBS) without revealing their locations. The project expects to demonstrate the effectiveness of the solutions using theoretic analysis and practical experiments. The expected outcomes are a multiparty trust model, techniques to distribute user location information among multiple location-based services, and a practical system to protect privacy in mobil ....Privacy-Preserving Location Based Queries. This project aims to develop efficient solutions for mobile users to consume location-based services (LBS) without revealing their locations. The project expects to demonstrate the effectiveness of the solutions using theoretic analysis and practical experiments. The expected outcomes are a multiparty trust model, techniques to distribute user location information among multiple location-based services, and a practical system to protect privacy in mobile environments. This should protect the privacy of individuals and increase users’ trust in location-based systems.Read moreRead less
Efficient Algorithms for In-memory Sorting, Searching and Indexing on Modern Multi-core Cache-based and Graphics Processor Architectures. This project clearly belongs to one of the national research priority
goals, Smart Information Use. The copy-based techniques and work on sorting and searching will considerably impact the development of in-memory algorithms in cutting-edge computer architectures. Efficient suffix trees and suffix sorting have myriad applications in string-processing and will ....Efficient Algorithms for In-memory Sorting, Searching and Indexing on Modern Multi-core Cache-based and Graphics Processor Architectures. This project clearly belongs to one of the national research priority
goals, Smart Information Use. The copy-based techniques and work on sorting and searching will considerably impact the development of in-memory algorithms in cutting-edge computer architectures. Efficient suffix trees and suffix sorting have myriad applications in string-processing and will be of high interest to bioinformatics companies. The sortdex project will develop novel algorithms that will be used by enterprise search engine companies to develop applications for libraries and organisations dealing with large databases. Algorithms using the graphics processor as a co-processor have important applications in the high-growth field of computer graphics and games. Read moreRead less
Post-Quantum Functional Encryption : Principles, Protocols and Practice. Modern cryptography has the power to revolutionise virtually every aspect of our online lives. Large-scale secure data sharing could become a breeze, with tools such as functional encryption (FE) to give us fine control over access rights by means of expressive languages, and there will be no more juggling of crypto keys. Finally, the known foundations of FE will crumble when even small-sized quantum computers become realit ....Post-Quantum Functional Encryption : Principles, Protocols and Practice. Modern cryptography has the power to revolutionise virtually every aspect of our online lives. Large-scale secure data sharing could become a breeze, with tools such as functional encryption (FE) to give us fine control over access rights by means of expressive languages, and there will be no more juggling of crypto keys. Finally, the known foundations of FE will crumble when even small-sized quantum computers become reality, perhaps next decade. This project aims to recreate and expand the power of FE from post-quantum (PQ) mathematical principles, immune to quantum attacks, building on recent discoveries of limited forms of PQ-FE from rock-solid crypto principles. It begs exploring, for the truly spectacular outcomes likely to ensue.Read moreRead less
Practical unified framework for secure e-consent mechanism for health records. This project is driven by modern applications of cryptography and network security and their applications in securing e-health by enabling secure Personal Health Records (PHRs), which will play an important role in the future healthcare industry.
Privacy Protection in Distributed Data Mining. Information and Communications Technology (ICT) has dramatically altered the world's social and economic landscape. 'From data to knowledge' is one of the priority challenges recognized by National ICT Australia. However, privacy concerns may prevent it from realization. This project aims to fulfil 'from data to knowledge' without breaching privacy of data from distributed resources held by different parties. The outcomes of this project will create ....Privacy Protection in Distributed Data Mining. Information and Communications Technology (ICT) has dramatically altered the world's social and economic landscape. 'From data to knowledge' is one of the priority challenges recognized by National ICT Australia. However, privacy concerns may prevent it from realization. This project aims to fulfil 'from data to knowledge' without breaching privacy of data from distributed resources held by different parties. The outcomes of this project will create new directions in the research of privacy-preserving distributed data mining and are applicable to Australian counter-terrorism and homeland defence in detecting bio-terrorism from privacy sensitive data.Read moreRead less
Private Data Warehouse Query. Information and Communications Technology (ICT) has dramatically altered the world's social and economic landscape. 'From data to knowledge' is one of priority challenges recognized by National ICT Australia. However, privacy concern may prevent it from realisation. This project aims to fulfil 'from data to knowledge' without breaching privacy of user's queries to a data warehouse. The outcomes of this project will create new directions in the research of private da ....Private Data Warehouse Query. Information and Communications Technology (ICT) has dramatically altered the world's social and economic landscape. 'From data to knowledge' is one of priority challenges recognized by National ICT Australia. However, privacy concern may prevent it from realisation. This project aims to fulfil 'from data to knowledge' without breaching privacy of user's queries to a data warehouse. The outcomes of this project will create new directions in the research of private data warehouse query, and are applicable to stock exchange data warehouses and pharmaceutical data warehouses, where the user is reluctant to reveal his query to the data warehouse operator.Read moreRead less
Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes ....Secure Crowdsourcing Classification with Privacy Protection against Servers. This project aims to enable comprehensive quality data classification via secure crowdsourcing. The quality of a data-intensive process, such as a Machine Learning algorithm, depends on the input data quality. By using a crowdsourcing classification, the project expects to overcome the painstaking and costly process of humans correctly annotating extensive input data from diverse real information. The expected outcomes are innovative technologies, guaranteeing accuracy and confidentiality of annotation results whilst protecting the privacy of data classification results. It enhances data-intensive outputs quality, which will benefit large data-intensive applications, such as cybersecurity protections via intrusion detection.Read moreRead less