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Australian State/Territory : NSW
Field of Research : Data Format
Field of Research : Computer System Security
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP180102199

    Funder
    Australian Research Council
    Funding Amount
    $413,043.00
    Summary
    Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres .... Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220100003

    Funder
    Australian Research Council
    Funding Amount
    $462,000.00
    Summary
    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.
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    Funded Activity

    Linkage Projects - Grant ID: LP120200052

    Funder
    Australian Research Council
    Funding Amount
    $105,000.00
    Summary
    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.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP200201035

    Funder
    Australian Research Council
    Funding Amount
    $331,898.00
    Summary
    Efficient Multi-key Homomorphic Encryption and Its Applications. Multi-key homomorphic encryption (MKHE) is a key technology that functions to allow multiple users to supply their private input for collaboration in the cloud while keeping the user data confidential. Unfortunately, it is very difficult to obtain efficient MKHEs. This project aims to overcome this challenge by enabling novel efficient MKHEs. The expected outcomes of this project are to develop innovative cryptographic technologies .... Efficient Multi-key Homomorphic Encryption and Its Applications. Multi-key homomorphic encryption (MKHE) is a key technology that functions to allow multiple users to supply their private input for collaboration in the cloud while keeping the user data confidential. Unfortunately, it is very difficult to obtain efficient MKHEs. This project aims to overcome this challenge by enabling novel efficient MKHEs. The expected outcomes of this project are to develop innovative cryptographic technologies which realise efficient MKHEs, together with their cryptographic libraries and practical applications in solving industry problems. This will provide direct economic benefits to Australian industry through the enablement of advanced technologies and low-cost business solutions which are developed in Australia.
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    Active Funded Activity

    Linkage Projects - Grant ID: LP190100984

    Funder
    Australian Research Council
    Funding Amount
    $199,857.00
    Summary
    Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The e .... Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The expected outcomes of this project include innovative technologies, as well as secure and practical post-quantum protocols for protecting future blockchain applications. This will provide economic and social benefits to Australian industry through the enablement of advanced technologies which are developed in Australia.
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    Funded Activity

    Discovery Projects - Grant ID: DP180100665

    Funder
    Australian Research Council
    Funding Amount
    $312,298.00
    Summary
    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.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP200100144

    Funder
    Australian Research Council
    Funding Amount
    $342,074.00
    Summary
    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP130101383

    Funder
    Australian Research Council
    Funding Amount
    $315,000.00
    Summary
    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.
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    Showing 1-8 of 8 Funded Activites

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