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Research Topic : missing data
Status : Active
Australian State/Territory : NSW
Field of Research : Data Format
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Data Format (10)
Coding and Information Theory (5)
Computer System Security (5)
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  • Researchers (13)
  • Funded Activities (10)
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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 Early Career Researcher Award - Grant ID: DE190101418

    Funder
    Australian Research Council
    Funding Amount
    $398,000.00
    Summary
    Extremely-high-speed and reliable coding for next generation communications. This project aims to develop fundamental coding theories and innovative coded-modulation techniques for the next generation backbone communication systems. The development of these techniques is expected to lead to dramatic increases of spectrum efficiency, data rate and reliability of communication systems. The techniques will enable extremely high speed and extremely reliable front-haul/back-haul communications, which .... Extremely-high-speed and reliable coding for next generation communications. This project aims to develop fundamental coding theories and innovative coded-modulation techniques for the next generation backbone communication systems. The development of these techniques is expected to lead to dramatic increases of spectrum efficiency, data rate and reliability of communication systems. The techniques will enable extremely high speed and extremely reliable front-haul/back-haul communications, which constitute the major building blocks of critical information and communications technology infrastructures for future digital society. This project is expected to support the sustainable development of the emerging digital society and new data-intensive applications, which are crucial for the long term economic growth for the Australian community.
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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: 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

    ARC Future Fellowships - Grant ID: FT140100219

    Funder
    Australian Research Council
    Funding Amount
    $656,967.00
    Summary
    Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate an .... Readying Wireless Networks for Future Communications Systems: From Ubiquitous Computing to the Internet of Things. This project aims to prepare wireless networks for future communications systems, by improving the data transmission rates of wireless networks, through developing new coding schemes based on the synergy of noisy-channel coding and index coding. This will allow wireless networks, used in conjunction with the fibre-optic National Broadband Network, to support future high-data-rate and ubiquitous communication services. This project aims to produce new theoretical results in the field of communication theory, and efficient practical coding schemes for wireless communications.
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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

    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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    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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    Active Funded Activity

    ARC Future Fellowships - Grant ID: FT190100429

    Funder
    Australian Research Council
    Funding Amount
    $996,000.00
    Summary
    Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expecte .... Data sharing with strong privacy against inference attacks. This project aims to develop theories and techniques for strong protection of personal information in sharing large datasets such as national health data or census records. It intends to achieve this through developing new information theoretic methods for synthesising datasets with proven high fidelity and protection against re-identification and inference attacks, where attackers try to learn probability of sensitive data. The expected outcomes are algorithms for public and private sector data curators to dial up or down their data access arrangements based on privacy risks and fidelity demands linked with different data types and uses. This project intends to enable Australians to securely benefit from valuable data in decision making.
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