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All Outputs (34)

Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network (2023)
Journal Article
Huang, B., Chen, G., Zhang, H., Hou, G., & Radenkovic, M. (2023). Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network. Science of the Total Environment, 878, Article 162826. https://doi.org/10.1016/j.scitotenv.2023.162826

Deep sea debris is any persistent man-made material that ends up in the deep sea. The scale and rapidly increasing amount of sea debris are endangering the health of the ocean. So, many marine communities are struggling for the objective of a clean,... Read More about Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network.

Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery (2023)
Journal Article
Zhao, N., Huang, B., Yang, J., Radenkovic, M., & Chen, G. (2023). Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters, 20, Article 1500605. https://doi.org/10.1109/lgrs.2023.3243902

Oceanic eddy is the ubiquitous ocean flow phenomenon, which has been the key factor in the transportation of ocean energy and materials. Consequently, oceanographic understanding can be enhanced by the intelligent identification of eddy. State-of-the... Read More about Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery.

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles (2022)
Journal Article
Brocklehurst, C., & Radenkovic, M. (2022). Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles. Journal of Sensor and Actuator Networks, 11(3), Article 35. https://doi.org/10.3390/jsan11030035

The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETS. In such a widespread safety critical application, security is paramount to the implementation of the networks. We view new autonomous ve... Read More about Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles.

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles (2022)
Dataset
Brocklehurst, C., & Radenkovic, M. (2022). Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles. [Dataset]. https://doi.org/10.3390/jsan11030035

The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETs In such a widespread safety-critical application, security is paramount to the implementation of the networks. We view new autonomous veh... Read More about Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles.

Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks (2019)
Conference Proceeding
Huynh, V. S. H., & Radenkovic, M. (2019). Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks. In Proceedings of the 9th International Conference on Pervasive and Embedded Computing and Communication Systems (34-45). https://doi.org/10.5220/0008167900340045

Applications and services hosted in the mobile edge/fog networks today (e.g., augmented reality, self-driving, and various cognitive applications) may suffer from limited network coverage and localized congestion due to dynamic mobility of users and... Read More about Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks.

Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids (2019)
Conference Proceeding
Radenkovic, M., & Walker, A. (2019). Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids. In Proceedings on 2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS) (44-51). https://doi.org/10.23919/WONS.2019.8795461

The emerging Smart Grid (SG) paradigm promises to address decreasing grid stability from thinning safe operating margins, meet continually rising demand from pervasive high capacity devices such as electric vehicles (EVs), and fully embrace the shift... Read More about Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids.

Exploring user behavioral data for adaptive cybersecurity (2019)
Journal Article
Addae, J. H., Sun, X., Towey, D., & Radenkovic, M. (2019). Exploring user behavioral data for adaptive cybersecurity. User Modeling and User-Adapted Interaction, 29(3), 701-750. https://doi.org/10.1007/s11257-019-09236-5

This paper describes an exploratory investigation into the feasibility of predictive analytics of user behavioral data as a possible aid in developing effective user models for adaptive cybersecurity. Partial least squares structural equation modelin... Read More about Exploring user behavioral data for adaptive cybersecurity.

Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster (2018)
Conference Proceeding
Radenkovic, M., Walker, A., & Bai, L. (2018). Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster. In IWCMC 2018: the 14th International Wireless Communications & Mobile Computing Conference (648-653). https://doi.org/10.1109/IWCMC.2018.8450430

This paper seeks to better understand the highly multi-dimensional, multi-faceted challenges of meeting trust and reliability requirements in critical, disaster aftermath communication networks comprising heterogeneous groups of sensor equipped nodes... Read More about Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster.

Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks (2018)
Conference Proceeding
Huynh, V. S. H., & Radenkovic, M. (2018). Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks.

Current research aims to deal with emerging challenges of the opportunistic discovery of content stored in remote mobile publishers and the delivery to the subscribers in heterogeneous mobile opportunistic networks. Innovative network and service arc... Read More about Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks.

Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks (2018)
Conference Proceeding
Huynh, V. S. H., Radenkovic, M., & John, R. (2018). Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks.

Smart networks and services leverage in-network caching to improve transmission efficiency and support large amount of content sharing, decrease high operating costs and handle disconnections. In this paper, we investigate the complex challenges rela... Read More about Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks.

CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging (2018)
Conference Proceeding
Radenkovic, M., & Walker, A. (2018). CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging.

Electric vehicles (EVs) are rapidly becoming more common and ownership is set to rise globally in coming years. The potential impacts of increased EVs on the electrical grid have been widely investigated and in its current state, existing grid infras... Read More about CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging.

Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks (2018)
Journal Article
Radenkovic, M., Huynh, . V. S. H., & Manzoni, P. (2018). Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks. IEEE Access, 6, 32188-32206. https://doi.org/10.1109/access.2018.2840040

Emerging mobile environments motivate the need for the development of new distributed technologies which are able to support dynamic peer to peer content sharing, decrease high operating costs, and handle intermittent disconnections. In this paper, w... Read More about Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks.

Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies (2018)
Journal Article
Rehmani, M. H., Reisslein, M., Rachedi, A., Erol-Kantarci, M., & Radenkovic, M. (2018). Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies. IEEE Transactions on Industrial Informatics, 14(7), 2814-2825. https://doi.org/10.1109/TII.2018.2819169

Rising energy costs, losses in the present-day electricity grid, risks from nuclear power generation, and global environmental changes are motivating a transformation of the conventional ways of generating electricity. Globally, there is a desire to... Read More about Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies.

Measuring attitude towards personal data for adaptive cybersecurity (2017)
Journal Article
Addae, J. H., Brown, M., Sun, X., Towey, D., & Radenkovic, M. (2017). Measuring attitude towards personal data for adaptive cybersecurity. Information and Computer Security, 25(5), 560-579. https://doi.org/10.1108/ICS-11-2016-0085

© Emerald Publishing Limited. Purpose - This paper presents an initial development of a personal data attitude (PDA) measurement instrument based on established psychometric principles. The aim of the research was to develop a reliable measurement sc... Read More about Measuring attitude towards personal data for adaptive cybersecurity.

Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks (2017)
Conference Proceeding
Radenkovic, M., & Huynh, V. S. H. (2017). Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

This paper investigates complex challenges of opportunistic discovery of content stored in remote mobile devices and delivery to the requesting nodes in heterogeneous mobile disconnection prone environments. We propose new latency aware collaborative... Read More about Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.

A novel cross-layer framework for large scale emergency communications (2017)
Conference Proceeding
Huynh, V. S. H., & Radenkovic, M. (2017). A novel cross-layer framework for large scale emergency communications. In 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC) (2152-2157). https://doi.org/10.1109/IWCMC.2017.7986616

This paper explores the problem of improving coverage and capacity of large-scale communication networks in disaster-struck areas. We propose a novel integrated dynamic cross-layer distributed energy aware emergency framework, E3F, that spans large g... Read More about A novel cross-layer framework for large scale emergency communications.

GPSR-TARS: congestion aware geographically targeted remote surveillance for VANETs (2017)
Conference Proceeding
Walker, A., & Radenkovic, M. (2017). GPSR-TARS: congestion aware geographically targeted remote surveillance for VANETs.

Video over vehicular networks continues to receive warranted attention, with envisioned applications having the potential to present entirely new opportunities and revolutionise existing services. Many video systems have been proposed, ranging from s... Read More about GPSR-TARS: congestion aware geographically targeted remote surveillance for VANETs.

Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems (2016)
Journal Article
Radenkovic, M., Crowcroft, J., & Rehmani, M. H. (2016). Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems. IEEE Access, 4, 5309-5321. https://doi.org/10.1109/ACCESS.2016.2606501

Fast emerging mobile edge computing, mobile clouds, Internet of Things (IoT) and cyber physical systems require many novel realistic real time multi-layer algorithms for a wide range of domains, such as intelligent content provision and processing, s... Read More about Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems.

Cognitive privacy for personal clouds (2016)
Journal Article
Radenkovic, M. (2016). Cognitive privacy for personal clouds. Mobile Information Systems, 2016, 1-17. https://doi.org/10.1155/2016/7107103

This paper proposes a novel Cognitive Privacy (CogPriv) framework that improves privacy of data sharing between Personal Clouds for different application types and across heterogeneous networks. Depending on the behaviour of neighbouring network node... Read More about Cognitive privacy for personal clouds.