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Current Selection
Status : Active
Scheme : Discovery Projects
Australian State/Territory : NSW
Field of Research : Data Format
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  • Researchers (13)
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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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    Active Funded Activity

    Discovery Projects - Grant ID: DP190100770

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    Information-theoretic secure communications via caching. This project aims to address the cybersecurity problem of securing telecommunication networks to prevent data leakage. Current widely-adopted data-encryption approaches to secure communications will be broken with large-scale quantum computers, and existing information-theoretic approaches rely on the channel quality of the network. To circumvent these risks, this project proposes a new information security approach using information cache .... Information-theoretic secure communications via caching. This project aims to address the cybersecurity problem of securing telecommunication networks to prevent data leakage. Current widely-adopted data-encryption approaches to secure communications will be broken with large-scale quantum computers, and existing information-theoretic approaches rely on the channel quality of the network. To circumvent these risks, this project proposes a new information security approach using information cached at devices to camouflage data. The project will future-proof secure communication systems against large-scale quantum computers, which threaten current encryption approaches. This should ensure that data transmitted over communication networks can never be revealed to interceptors or hackers, even in public WiFi.
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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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    Active Funded Activity

    Discovery Projects - Grant ID: DP220102736

    Funder
    Australian Research Council
    Funding Amount
    $480,000.00
    Summary
    Channel Coding for Beyond 5G. Significant improvements are required for ICT services if they are to meet the needs of rapid urbanization and industrial transformation while also addressing the current digital divide, which sees half of the world's population currently without sufficient access to the internet. The 6th-generation (6G) of mobile standards will be a key solution to the constantly increasing demands on our communications infrastructure. This project will develop novel communication .... Channel Coding for Beyond 5G. Significant improvements are required for ICT services if they are to meet the needs of rapid urbanization and industrial transformation while also addressing the current digital divide, which sees half of the world's population currently without sufficient access to the internet. The 6th-generation (6G) of mobile standards will be a key solution to the constantly increasing demands on our communications infrastructure. This project will develop novel communication strategies for 6G to service new applications with requirements way beyond what 5G can achieve. The outcomes of the project are expected to significantly improve users' data rate and enhance the reliability and coverage of mobile networks.
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    Showing 1-5 of 5 Funded Activites

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