ORCID Profile
0000-0002-4076-1811
Current Organisation
UNSW
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Distributed Computing | Ubiquitous Computing | Computer System Security | Communications Technologies | Computer Communications Networks | Computer Software |
Information Processing Services (incl. Data Entry and Capture) | Communication Networks and Services not elsewhere classified | Application Tools and System Utilities | Electronic Information Storage and Retrieval Services
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: Elsevier BV
Date: 04-2015
DOI: 10.1016/J.TIBTECH.2015.01.003
Abstract: The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environmental costs. Conventional manual biosecurity surveillance methods are limited by their scalability in space and time. This article focuses on autonomous surveillance systems, comprising sensor networks, robots, and intelligent algorithms, and their applicability to biosecurity threats. We discuss the spatial and temporal attributes of autonomous surveillance technologies and map them to three broad categories of biosecurity threat: (i) vector-borne diseases (ii) plant pests and (iii) aquatic pests. Our discussion reveals a broad range of opportunities to serve biosecurity needs through autonomous surveillance.
Publisher: IEEE
Date: 10-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
Publisher: IEEE
Date: 04-2018
Publisher: ACM
Date: 11-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2010
Publisher: IEEE
Date: 2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: Association for Computing Machinery (ACM)
Date: 27-09-2023
DOI: 10.1145/3610921
Publisher: IEEE
Date: 10-2008
Publisher: ACM
Date: 06-11-2007
Publisher: IEEE
Date: 11-2006
Publisher: ACM
Date: 11-2015
Publisher: IEEE
Date: 08-2018
Publisher: Association for Computing Machinery (ACM)
Date: 06-10-2014
DOI: 10.1145/2629338
Abstract: Crowd-sourced mobile embedded systems allow people to contribute sensor data, for critical applications, including transportation, emergency response and eHealth. Data integrity becomes imperative as malicious participants can launch software and Sybil attacks modifying the sensing platform and data. To address these attacks, we develop (1) a Trusted Sensing Peripheral (TSP) enabling collection of high-integrity raw or aggregated data, and participation in applications requiring additional modalities and (2) a Secure Tasking and Aggregation Protocol (STAP) enabling aggregation of TSP trusted readings by untrusted intermediaries, while efficiently detecting fabricators. Evaluations demonstrate that TSP and STAP are practical and energy-efficient.
Publisher: IEEE
Date: 03-2019
Publisher: IEEE
Date: 11-2016
DOI: 10.1109/LCN.2016.126
Publisher: Elsevier BV
Date: 07-2010
Publisher: ICST
Date: 2015
Publisher: ACM
Date: 11-11-2013
Publisher: IEEE
Date: 12-2011
Publisher: ACM
Date: 12-04-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: Elsevier BV
Date: 02-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Publisher: Association for Computing Machinery (ACM)
Date: 27-09-2023
DOI: 10.1145/3610913
Publisher: ACM
Date: 04-2008
Publisher: Elsevier BV
Date: 05-2009
Publisher: ACM
Date: 28-06-2010
Publisher: ACM
Date: 06-11-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2019
Publisher: ACM
Date: 09-2023
Publisher: IEEE
Date: 12-2008
Publisher: ACM
Date: 11-2011
Publisher: Association for Computing Machinery (ACM)
Date: 2014
DOI: 10.1145/2530291
Abstract: Radio connectivity in wireless sensor networks is highly intermittent due to unpredictable and time-varying noise and interference patterns in the environment. Because link qualities are not predictable prior to deployment, current deterministic solutions to unreliable links, such as increasing network density or transmission power, require overprovisioning of network resources and do not always improve reliability. We propose a new dual-radio network architecture to improve communication reliability in wireless sensor networks. Specifically, we show that radio transceivers operating at well-separated frequencies and spatially separated antennas offer robust communication, high link ersity, and better interference mitigation. We derive the optimal parameters for the dual-transceiver setup from frequency and space ersity in theory. We observe that frequency ersity holds the most benefits as long as the antennas are sufficiently separated to prevent coupling. Our experiments on an indoor/outdoor testbed confirm the theoretical predictions and show that radio ersity can significantly improve end-to-end delivery rates and network stability at only a small increase in energy cost over a single radio. Simulation experiments further validate the improvements in multiple topology configurations, but also reveal that the benefits of radio ersity are coupled to the number of available routing paths to the destination.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Publisher: Springer US
Date: 2010
Publisher: ACM
Date: 05-11-2008
Publisher: Elsevier BV
Date: 02-2015
Publisher: IEEE
Date: 12-2010
Publisher: ACM
Date: 02-11-2015
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: ACM
Date: 12-04-2010
Publisher: IEEE
Date: 04-2014
Publisher: IEEE
Date: 04-2018
Publisher: Association for Computing Machinery (ACM)
Date: 08-2010
Abstract: This article presents the design and implementation of a trusted sensor node that provides Internet-grade security at low system cost. We describe trustedFleck, which uses a commodity Trusted Platform Module (TPM) chip to extend the capabilities of a standard wireless sensor node to provide security services such as message integrity, confidentiality, authenticity , and system integrity based on RSA public-key and XTEA-based symmetric-key cryptography. In addition trustedFleck provides secure storage of private keys and provides platform configuration registers (PCRs) to store system configurations and detect code t ering. We analyze system performance using metrics that are important for WSN applications such as computation time, memory size, energy consumption and cost. Our results show that trustedFleck significantly outperforms previous approaches (e.g., TinyECC) in terms of these metrics while providing stronger security levels. Finally, we describe a number of ex les, built on trustedFleck, of symmetric key management, secure RPC, secure software update, and remote attestation .
Publisher: ACM
Date: 04-11-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2017
Publisher: MDPI AG
Date: 02-06-2010
DOI: 10.3390/S100605548
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: ACM
Date: 16-04-2012
Publisher: IEEE
Date: 10-2009
Publisher: ACM
Date: 16-04-2012
Publisher: IEEE
Date: 05-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2012
DOI: 10.1109/MPRV.2010.70
Publisher: Elsevier BV
Date: 11-2006
Publisher: IEEE
Date: 08-2018
Publisher: IEEE
Date: 06-2018
Publisher: IEEE
Date: 04-2014
Publisher: IEEE
Date: 10-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 10-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: ACM
Date: 06-11-2012
Publisher: Association for Computing Machinery (ACM)
Date: 26-01-2017
DOI: 10.1145/3023954
Abstract: Recent years have witnessed a remarkable growth in the number of smart wearable devices. For many of these devices, an important security issue is to establish an authenticated communication channel between legitimate devices to protect the subsequent communications. Due to the wireless nature of the communication and the extreme resource constraints of sensor devices, providing secure, efficient, and user-friendly device pairing is a challenging task. Traditional solutions for device pairing mostly depend on key predistribution, which is unsuitable for wearable devices in many ways. In this article, we design Gait-Key, a shared secret key generation scheme that allows two legitimate devices to establish a common cryptographic key by exploiting users’ walking characteristics (gait). The intuition is that the sensors on different locations on the same body experience similar accelerometer signals when the user is walking. However, one main challenge is that the accelerometer also captures motion signals produced by other body parts (e.g., swinging arms). We address this issue by using the blind source separation technique to extract the informative signal produced by the unique gait patterns. Our experimental results show that Gait-Key can generate a common 128-bit key for two legitimate devices with 98.3% probability. To demonstrate the feasibility, the proposed key generation scheme is implemented on modern smartphones. The evaluation results show that the proposed scheme can run in real time on modern mobile devices and incurs low system overhead.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Publisher: ACM
Date: 04-11-2018
Publisher: ACM
Date: 04-11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
Publisher: Association for Computing Machinery (ACM)
Date: 02-2009
Abstract: This article investigates a wireless acoustic sensor network application—monitoring hibian populations in the monsoonal woodlands of northern Australia. Our goal is to use automatic recognition of animal vocalizations to census the populations of native frogs and the invasive introduced species, the cane toad. This is a challenging application because it requires high frequency acoustic s ling, complex signal processing, wide area sensing coverage and long-lived unattended operation. We set up two prototypes of wireless sensor networks that recognize vocalizations of up to ninth frog species found in northern Australia. Our first prototype consists of only resource-rich Stargate devices. Our second prototype is more complex and consists of a hybrid mixture of Stargates and inexpensive, resource-poor Mica2 devices operating in concert. In the hybrid system, the Mica2s are used to collect acoustic s les, and expand the sensor network coverage. The Stargates are used for resource-intensive tasks such as fast Fourier transforms (FFTs) and machine learning. The hybrid system incorporates four algorithms designed to account for the s ling, processing, energy, and communication bottlenecks of the Mica2s (1) high frequency s ling, (2) thresholding and noise reduction, to reduce data transmission by up to 90%, (3) s ling scheduling, which exploits the sensor network redundancy to increase the effective s le processing rate, and (4) harvesting-aware energy management, which exploits sensor energy harvesting capabilities to extend the system lifetime. Our evaluation shows the performance of our systems over a range of scenarios, and demonstrate that the feasibility and benefits of a hybrid systems approach justify the additional system complexity.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2018
Publisher: IEEE
Date: 03-2009
Publisher: IEEE
Date: 10-2013
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: ACM
Date: 07-11-2017
Publisher: ACM
Date: 14-11-2016
Publisher: IEEE
Date: 04-2016
Publisher: IEEE
Date: 04-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Publisher: Elsevier BV
Date: 2014
Publisher: IEEE
Date: 03-2016
Publisher: ACM
Date: 10-11-2019
Publisher: IEEE
Date: 05-2016
Publisher: IEEE
Date: 03-2016
Publisher: ACM
Date: 31-10-2011
Publisher: IEEE
Date: 03-2018
Publisher: ACM
Date: 18-04-2017
Publisher: Association for Computing Machinery (ACM)
Date: 09-08-2019
DOI: 10.1145/3338026
Abstract: Activity recognition is an important component of many pervasive computing applications. Radio-based activity recognition has the advantage that it does not have the privacy concern compared with camera-based solutions, and subjects do not have to carry a device on them. It has been shown channel state information (CSI) can be used for activity recognition in a device-free setting. With the proliferation of wireless devices, it is important to understand how radio frequency interference (RFI) can impact on pervasive computing applications. In this article, we investigate the impact of RFI on device-free CSI-based location-oriented activity recognition. We present data to show that RFI can have a significant impact on the CSI vectors. In the absence of RFI, different activities give rise to different CSI vectors that can be differentiated visually. However, in the presence of RFI, the CSI vectors become much noisier, and activity recognition also becomes harder. Our extensive experiments show that the performance may degrade significantly with RFI. We then propose a number of countermeasures to mitigate the impact of RFI and improve the performance. We are also the first to use complex-valued CSI along with the state-of-the-art Sparse Representation Classification method to enhance the performance in the environment with RFI.
Publisher: IEEE
Date: 04-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: ACM
Date: 16-04-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: ACM
Date: 07-09-2015
Publisher: ACM
Date: 06-11-2012
Publisher: ACM
Date: 04-12-2017
Publisher: ACM
Date: 11-11-2013
Publisher: Wiley
Date: 28-01-2015
DOI: 10.1002/SEC.1162
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2017
Publisher: IEEE
Date: 10-2012
Publisher: Elsevier BV
Date: 2022
Publisher: IEEE
Date: 03-2016
Publisher: Association for Computing Machinery (ACM)
Date: 12-06-2023
DOI: 10.1145/3596264
Abstract: Secure device pairing is important to wearables. Existing solutions either degrade usability due to the need of specific actions like shaking, or they lack universality due to the need of dedicated hardware like electrocardiogram sensors. This paper proposes TouchKey, a symmetric key generation scheme that exploits the skin electric potential (SEP) induced by powerline electromagnetic radiation. The SEP is ubiquitously accessible indoors with analog-to-digital converters widely available on Internet of Things devices. Our measurements show that the SEP has high randomness and the SEPs measured at two close locations on the same human body are similar. Extensive experiments show that TouchKey achieves a high key generation rate of 345 bit/s and an average success rate of 99.29%. Under a range of adversary models including active and passive attacks, TouchKey shows a low false acceptance rate of 0.86%, which outperforms existing solutions. Besides, the overall execution time and energy usage are 0.44 s and 2.716 mJ, which make it suitable for resource-constrained devices.
Publisher: IEEE
Date: 12-2019
Publisher: Association for Computing Machinery (ACM)
Date: 27-03-2023
DOI: 10.1145/3580878
Abstract: For indoor settings, we investigate the impact of location on the spectral distribution of the received light, i.e., the intensity of light for different wavelengths. Our investigations confirm that even under the same light source, different locations exhibit slightly different spectral distribution due to reflections from their localised environment containing different materials or colours. By exploiting this observation, we propose Spectral-Loc, a novel indoor localization system that uses light spectral information to identify the location of the device. With spectral sensors finding their way into the latest products and applications, such as white balancing in smartphone photography, Spectral-Loc can be readily deployed without requiring any additional hardware or infrastructure. We prototype Spectral-Loc using a commercial-off-the-shelf light spectral sensor, AS7265x, which can measure light intensity over 18 different wavelength sub-bands. We benchmark the localization accuracy of Spectral-Loc against the conventional light intensity sensors that provide only a single intensity value. Our evaluations over two different indoor spaces, a meeting room, and a large office space, demonstrate that the use of light spectral information significantly reduces the localization error for the different percentiles.
Publisher: IEEE
Date: 10-2015
Publisher: IEEE
Date: 03-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Publisher: ACM
Date: 10-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: ACM
Date: 17-10-2010
Publisher: IEEE
Date: 2005
Publisher: ACM
Date: 05-11-2018
Publisher: ACM
Date: 12-04-2010
Publisher: IEEE
Date: 03-2016
Publisher: Elsevier BV
Date: 07-2019
Publisher: ACM Press
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: ACM
Date: 13-04-2015
Publisher: IEEE
Date: 08-2018
Publisher: ACM
Date: 13-04-2015
Publisher: Elsevier BV
Date: 2016
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 10-2007
DOI: 10.1109/LCN.2007.49
Publisher: Springer Science and Business Media LLC
Date: 2005
Publisher: Elsevier BV
Date: 12-2015
Publisher: Elsevier BV
Date: 09-2013
Publisher: ACM
Date: 05-08-2019
Publisher: Elsevier BV
Date: 11-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2020
Start Date: 04-2021
End Date: 12-2024
Amount: $340,295.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2017
End Date: 02-2022
Amount: $318,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2019
End Date: 10-2024
Amount: $450,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 04-2022
End Date: 12-2025
Amount: $405,000.00
Funder: Australian Research Council
View Funded Activity