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Research Topic : Affective computing
Scheme : Linkage Projects
Field of Research : Data Format
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Data Format (3)
Computer System Security (2)
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  • Researchers (21)
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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

    Linkage Projects - Grant ID: LP160100002

    Funder
    Australian Research Council
    Funding Amount
    $345,000.00
    Summary
    Advanced coding techniques for next generation NAND Flash memories. Advanced coding techniques for next generation NAND Flash memories. This project aims to design low-power consuming coding schemes that can achieve the maximum coding gain for NAND Flash memories in Solid State Drives. Although these devices are replacing hard drives in laptops and provide enormous benefits in access speed and weight, they become unreliable the more they are used. Advanced coding techniques are needed to solve p .... Advanced coding techniques for next generation NAND Flash memories. Advanced coding techniques for next generation NAND Flash memories. This project aims to design low-power consuming coding schemes that can achieve the maximum coding gain for NAND Flash memories in Solid State Drives. Although these devices are replacing hard drives in laptops and provide enormous benefits in access speed and weight, they become unreliable the more they are used. Advanced coding techniques are needed to solve problems caused by the very strict reliability/cost requirements of large storage systems. Allocating memory to coding redundant information can extend these devices’ lifetime. The design of codes and decoders with a low power consumption is expected to be the key enabling technology for next generation large storage devices.
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    Showing 1-3 of 3 Funded Activites

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