Future Quantum-to-the-Home (QTTH) All-Optical Networks (Invited Talk) (2019)
Presentation / Conference Contribution
Asif, R. (2018, August). Future Quantum-to-the-Home (QTTH) All-Optical Networks (Invited Talk). Presented at 10th International Conference on Advanced Infocomm Technology, Stockholm, Sweden

For imparting data security to the end-users in a archetypal fiber-to-the-home (FTTH) network, quantum cryptography (QC) is getting much attention now-a-days. QC or more specifically quantum key distribution (QKD) promises unconditionally secure prot... Read More about Future Quantum-to-the-Home (QTTH) All-Optical Networks (Invited Talk).

Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses (2019)
Journal Article
Casas, L., Fauconneau, M., Kosek, M., Mclister, K., & Mitchell, K. (2019). Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses. Computers, 8(2), Article 29. https://doi.org/10.3390/computers8020029

Shadow-retargeting maps depict the appearance of real shadows to virtual shadows given corresponding deformation of scene geometry, such that appearance is seamlessly maintained. By performing virtual shadow reconstruction from unoccluded real-shadow... Read More about Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses.

A Forensic Audit of the Tor Browser Bundle (2019)
Journal Article
Muir, M., Leimich, P., & Buchanan, W. J. (2019). A Forensic Audit of the Tor Browser Bundle. Digital Investigation, 29, 118-128. https://doi.org/10.1016/j.diin.2019.03.009

The increasing use of encrypted data within file storage and in network communications leaves investigators with many challenges. One of the most challenging is the Tor protocol, as its main focus is to protect the privacy of the user, in both its lo... Read More about A Forensic Audit of the Tor Browser Bundle.

Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. (2019)
Presentation / Conference Contribution
Urquhart, N., Hart, E., & Hutcheson, W. (2019, April). Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. Presented at EvoStar2019: International Conference on the Applications of Evolutionary Computation, Leipzig

Quality-diversity algorithms such as MAP-Elites provide a means of supporting the users when finding and choosing solutions to a problem by returning a set of solutions which are diverse according to set of user-defined features. The number of soluti... Read More about Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem..

Decrypting Live SSH Traffic in Virtual Environments (2019)
Journal Article
Mclaren, P., Russell, G., Buchanan, W. J., & Tan, Z. (2019). Decrypting Live SSH Traffic in Virtual Environments. Digital Investigation, 29, 109-117. https://doi.org/10.1016/j.diin.2019.03.010

Decrypting and inspecting encrypted malicious communications may assist crime detection and prevention. Access to client or server memory enables the discovery of artefacts required for decrypting secure communications. This paper develops the MemDe-... Read More about Decrypting Live SSH Traffic in Virtual Environments.

The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers (2019)
Journal Article
Stapleton, G., Chapman, P., Rodgers, P., Touloumis, A., Blake, A., & Delaney, A. (2019). The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers. PLOS ONE, 14(3), https://doi.org/10.1371/journal.pone.0211234

This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area-proportional Euler diagrams but linear diagrams can exploit length-proport... Read More about The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers.

IoT Forensics: Amazon Echo as a Use Case (2019)
Journal Article
Li, S., Li, S., Choo, K.-K. R., Sun, Q., Buchanan, W. J., & Cao, J. (2019). IoT Forensics: Amazon Echo as a Use Case. IEEE Internet of Things Journal, 1-11. https://doi.org/10.1109/jiot.2019.2906946

Internet of Things (IoT) are increasingly common in our society, and can be found in civilian settings as well as sensitive applications such as battlefields and national security. Given the potential of these devices to be targeted by attackers, the... Read More about IoT Forensics: Amazon Echo as a Use Case.

SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. (2019)
Journal Article
Jan, M. A., Zhang, W., Usman, M., Tan, Z., Khan, F., & Luo, E. (2019). SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. Journal of Network and Computer Applications, 137, 1-10. https://doi.org/10.1016/j.jnca.2019.02.023

The Internet of Things (IoT) has the potential to transform communities around the globe into smart cities. The massive deployment of sensor-embedded devices in the smart cities generates voluminous amounts of data that need to be stored and processe... Read More about SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application..

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371

High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning, a prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.

Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop (2019)
Journal Article
Babar, M., Arif, F., Jan, M. A., Tan, Z., & Khan, F. (2019). Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop. Future Generation Computer Systems, 96, 398-409. https://doi.org/10.1016/j.future.2019.02.035

The unbroken amplfication of a versatile urban setup is challenged by huge Big Data processing. Understanding the voluminous data generated in a smart urban environment for decision making is a challenging task. Big Data analytics is performed to ob... Read More about Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop.

A new security approach for the spectrum access in vehicular networks (2019)
Presentation / Conference Contribution
Alsarhan, A., Al-Dubai, A., Kilani, Y., & Alkhalidy, M. (2019, February). A new security approach for the spectrum access in vehicular networks. Presented at ICDS 2019 : The Thirteenth International Conference on Digital Society and eGovernments, Athens, Greece

Vehicular ad hoc networks (VANETs) have been instrumental in intelligent transportation systems that enhances road safety and road management significantly. This technology enables communication among vehicles where drivers can share road information... Read More about A new security approach for the spectrum access in vehicular networks.

Athos - A Model Driven Approach to Describe and Solve Optimisation Problems (2019)
Presentation / Conference Contribution
Hoffman, B., Chalmers, K., Urquhart, N., & Guckert, M. (2019, February). Athos - A Model Driven Approach to Describe and Solve Optimisation Problems. Presented at RWDSL'19: 4th ACM International Workshop on Real World Domain Specific Languages, Washington DC

Implementing solutions for optimisation problems with general purpose high-level programming languages is a time consuming task that can only be carried out by professional software developers who typically are not domain experts. We address this pro... Read More about Athos - A Model Driven Approach to Describe and Solve Optimisation Problems.

Top 10 Blockchain Predictions for the (Near) Future of Healthcare (2019)
Journal Article
Halamka, J. D., Alterovitz, G., Buchanan, W. J., Cenaj, T., Clauson, K. A., Dhillon, V., Hudson, F. D., Mokhtari, M. (., Porto, D. A., Rutschman, A., & Ngo, A. L. (2019). Top 10 Blockchain Predictions for the (Near) Future of Healthcare. Blockchain in Healthcare Today, 2, https://doi.org/10.30953/bhty.v2.106

To review blockchain lessons learned in 2018 and near-future predictions for blockchain in healthcare, Blockchain in Healthcare Today (BHTY) asked the world's blockchain in healthcare experts to share their insights. Here, our internationally-renowne... Read More about Top 10 Blockchain Predictions for the (Near) Future of Healthcare.

Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities (2019)
Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., Brindley, P., & Liotta, A. (2019). Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217

The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data from our cities. In this paper, we investigate a novel way of analyzing dat... Read More about Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities.

ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System (2019)
Journal Article
Javaid, S., Afzal, H., Babar, M., Arif, F., Tan, Z., & Jan, M. A. (2019). ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System. IEEE Access, 1-1. https://doi.org/10.1109/access.2019.2897095

Putting trust in the world of the Internet of Things, where served and serving entities are often unknown, is very hard especially when personal and business information is often being exchanged for providing and consuming services. Moreover, the iss... Read More about ARCA-IoT: An Attack-Resilient Cloud-Assisted IoT System.

Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models (2019)
Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Sun, M., & Linge, N. (2019). Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models. IEEE Transactions on Consumer Electronics, 65(1), 1-1. https://doi.org/10.1109/tce.2019.2891160

Awareness of electric energy usage has both societal and economic benefits, which include reduced energy bills and stress on non-renewable energy sources. In recent years, there has been a surge in interest in the field of load monitoring, also refer... Read More about Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models.

Double-Port Slotted-Antenna with Multiple Miniaturized Radiators for Wideband Wireless Communication Systems and Portable Devices (2019)
Journal Article
Alibakhshikenari, M., Khalily, M., Virdee, B. S., Ali, A., Shukla, P., See, C. H., Abd-Alhameed, R. A., Falcone, F. J., & Limiti, E. (2019). Double-Port Slotted-Antenna with Multiple Miniaturized Radiators for Wideband Wireless Communication Systems and Portable Devices. Progress in Electromagnetics Research C: PIER C, 90, 1-13. https://doi.org/10.2528/pierc18011204

Proof-of-concept is presented of a novel slot antenna structure with two excitation ports. Although this antenna provides a wide impedance bandwidth, its peak gain and optimum radiation efficiency are observed at its mid-band operational frequency. The... Read More about Double-Port Slotted-Antenna with Multiple Miniaturized Radiators for Wideband Wireless Communication Systems and Portable Devices.

A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task (2018)
Presentation / Conference Contribution
Mackamul, E. B., & Esteves, A. (2018, October). A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task. Presented at 6th ACM Symposium on Spatial User Interaction, Berlin, Germany

This paper presents a comparative study between two popular AR systems during a collocated collaborative task. The goal of the study is to start a body of knowledge that describes the effects of different AR approaches in users' experience and perfor... Read More about A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task.

A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network (2018)
Journal Article
Liu, X., Liu, Q., & Sun, M. (2018). A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network. Computers, Materials & Continua, 57(2), 179-194. https://doi.org/10.32604/cmc.2018.04025

In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselves. During the measurement, collection and transmission of electricity load... Read More about A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network.

A Cooperative Learning Approach for the Quadratic Knapsack Problem (2018)
Presentation / Conference Contribution
Lalla-Ruiz, E., Segredo, E., & Voß, S. (2018, June). A Cooperative Learning Approach for the Quadratic Knapsack Problem. Presented at Learning and Intelligent Optimization Conference (LION12), Kalamata, Greece

The Quadratic Knapsack Problem (QKP) is a well-known optimization problem aimed to maximize a quadratic objective function subject to linear capacity constraints. It has several applications in different fields such as telecommunications, graph theor... Read More about A Cooperative Learning Approach for the Quadratic Knapsack Problem.