Outputs (257)

Cross-modality interactive attention network for multispectral pedestrian detection (2018)
Journal Article
Zhang, L., Liu, Z., Zhang, S., Yang, X., Qiao, H., Huang, K., & Hussain, A. (2019). Cross-modality interactive attention network for multispectral pedestrian detection. Information Fusion, 50, 20-29. https://doi.org/10.1016/j.inffus.2018.09.015

Multispectral pedestrian detection is an emerging solution with great promise in many around-the-clock applications, such as automotive driving and security surveillance. To exploit the complementary nature and remedy contradictory appearance between... Read More about Cross-modality interactive attention network for multispectral pedestrian detection.

Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things (2018)
Presentation / Conference Contribution
Semedo, F., Moradpoor, N., & Rafiq, M. (2018, September). Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things. Presented at 11th International Conference On Security Of Information and Networks, Cardiff, United Kingdom

The Internet of Things (IoT) can be described as the ever-growing global network of objects with built-in sensing and communication interfaces such as sensors, Global Positioning devices (GPS) and Local Area Network (LAN) interfaces. Security is by f... Read More about Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things.

A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT (2018)
Journal Article
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Romdhani, I., Nasser, Y., & Boukerche, A. (2018). A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT. IEEE Internet of Things Journal, 5(6), 12. https://doi.org/10.1109/JIOT.2018.2862364

In this paper, we introduce Drizzle, a new algorithm for maintaining routing information in the Low-power and Lossy Networks (LLNs). The aim is to address the limitations of the currently standardized routing maintenance (i.e. Trickle algorithm) in s... Read More about A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT.

An Enhanced Cyber Attack Attribution Framework (2018)
Presentation / Conference Contribution
Pitropakis, N., Panaousis, E., Giannakoulias, A., Kalpakis, G., Rodriguez, R. D., & Sarigiannidis, P. (2018, September). An Enhanced Cyber Attack Attribution Framework. Presented at International Conference on Trust and Privacy in Digital Business TrustBus 2018, Regensburg, Germany

Advanced Persistent Threats (APTs) are considered as the threats that are the most challenging to detect and defend against. As APTs use sophisticated attack methods, cyber situational awareness and especially cyber attack attribution are necessary f... Read More about An Enhanced Cyber Attack Attribution Framework.

Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network (2018)
Presentation / Conference Contribution
Asif, R., Haithem, M., & Buchanan, W. J. (2018, July). Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network. Presented at Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF)

We report a high capacity Quantum-to-the-Home (QTTH) network in a spatialdivision-multiplexing (SDM) network utilizing 7-core multicore fiber (MCF). Aggregate secure key rates of 33.6 Mbit/s over 9.8 km of fiber are the actual state-of-the-art.

Example of an Anonymised Innovation Audit Report (Commercially Sensitive) (2018)
Report
Cramphorn, C. (2018). Example of an Anonymised Innovation Audit Report (Commercially Sensitive)

Example Innovation Audit report - anonymised and certain sections redacted because of commercial sensitivity and NDA.

Performance Investigation of RPL Routing in Pipeline Monitoring WSNs (2018)
Presentation / Conference Contribution
Wadhaj, I., Gharebi, W., Al-Dubai, A., & Thomson, C. (2018, June). Performance Investigation of RPL Routing in Pipeline Monitoring WSNs. Presented at 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Exeter, United Kingdom

The adoption of WSN and IEEE 802.15.4 standard for the linear WSN networks were assumed. The interconnection of WSNs with the Internet is possible by assigning IPv6 addresses to low- power devices. The 6LoWPAN adaption layer enables the IPv6 addresse... Read More about Performance Investigation of RPL Routing in Pipeline Monitoring WSNs.

Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks (2018)
Presentation / Conference Contribution
Ali, A. E., Al-Dubai, A., Romdhani, I., & Eshaftri, M. (2018, June). Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks. Presented at The 16th IEEE International Conference on Smart City (IEEE SmartCity-2018), Exeter

In Wireless Sensor Networks, clustering sensor nodes into disjoint groups is widely used to achieve load balance and increase network lifetime. In particular, traditional unequal clustering approaches where small clusters located close to the base st... Read More about Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks.

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science (2018)
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), Article 2383. https://doi.org/10.1038/s41467-018-04316-3

Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-... Read More about Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science.

Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures (2018)
Journal Article
Barrowclough, J. P., & Asif, R. (2018). Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures. Security and Communication Networks, 2018, 1-20. https://doi.org/10.1155/2018/1681908

The exponential rise of the cloud computing paradigm has led to the cybersecurity concerns, taking into account the fact that the resources are shared and mediated by a ‘hypervisor’ that may be attacked and user data can be compromised or hacked. In... Read More about Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures.

Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors (2018)
Journal Article
Lenka, R. K., Rath, A. K., Tan, Z., Sharma, S., Puthal, D., Simha, N. V. R., Prasad, M., Raja, R., & Tripathi, S. S. (2018). Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors. IEEE Access, 6, 30162-30173. https://doi.org/10.1109/ACCESS.2018.2842760

Wireless Sensors are an important component to develop the Internet of Things (IoT) Sensing infrastructure. There are enormous numbers of sensors connected with each other to form a network (well known as wireless sensor networks) to complete IoT Inf... Read More about Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors.

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2018)
Journal Article
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019). An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and the huge amount of data coming from Internet of Things (IoT) devices toward... Read More about An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0.

Applications of Blockchain Within Healthcare. (2018)
Journal Article
Bell, L., Buchanan, W. J., Cameron, J., & Lo, O. (2018). Applications of Blockchain Within Healthcare. Blockchain in Healthcare Today,

There are several areas of healthcare and well-being that could be enhanced using blockchain technologies. These include device tracking, clinical trials, pharmaceutical tracing, and health insurance. Within device tracking, hospitals can trace their... Read More about Applications of Blockchain Within Healthcare..

Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases (2018)
Presentation / Conference Contribution
Clavie, B., & Moradpoor, N. (2018, May). Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases. Poster presented at 10th ACM Conference on Web Science, Amsterdam

This article explores a perceived bias between two British reddit communities dedicated to discussing British politics.We analyse the popular sources favoured by each community and study semantic indicators that would be indicative of a bias. Althoug... Read More about Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases.

On-Line Building Energy Optimization Using Deep Reinforcement Learning (2018)
Journal Article
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019). On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219

Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the future power systems and to help customers transition from a passive to an... Read More about On-Line Building Energy Optimization Using Deep Reinforcement Learning.

Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain (2018)
Journal Article
Buchanan, B., & Naqvi, N. (2018). Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain. The Journal of the British Blockchain Association, 1(1), 1-4

A blockchain enabled 'Digital Single Economy " can act as a catalyst for growth and could provide a platform where borderless innovative practices will thrive and create a true collaborative global economy, with shared goals and objectives for the be... Read More about Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain.

A Review of Predictive Quality of Experience Management in Video Streaming Services (2018)
Journal Article
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018). A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869

Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but also to exert real-time control, addressing the user's quality of experience (... Read More about A Review of Predictive Quality of Experience Management in Video Streaming Services.

Drizzle Algorithm (2018)
Report
Ghaleb, B., Al-Dubai, A., Romdhani, I., & Qasem, M. (2018). Drizzle Algorithm. USA: IETF

Trickle algorithm used in RPL routing protocol suffers from some issues related to power, network convergence time and overhead and
load-distribution. To optimize this algorithm for Low-power and Lossy Networks (LLNs), a new algorithm called Dr... Read More about Drizzle Algorithm.

Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things (2018)
Journal Article
Abdmeziem, M. R., Tandjaoui, D., & Romdhani, I. (2018). Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things. International Journal of Sensor Networks, 26(4), 227. https://doi.org/10.1504/ijsnet.2018.090462

E-health applications have emerged as a promising approach to provide unobtrusive and customizable support to elderly and frail people based on their situation and circumstances. However, due to limited resources available in such systems and data pr... Read More about Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things.

Moving Towards Highly Reliable and Effective Sensor Networks. (2018)
Journal Article
Ahmad, M., Tan, Z., He, X., & Ni, W. (2018). Moving Towards Highly Reliable and Effective Sensor Networks. Ad-hoc & sensor wireless networks, 40(3-4), 163-168

Wireless Sensor Networks (WSNs) have been the preferred choice for the design and deployment of next generation monitoring and control systems [1]. In these networks, the sensor nodes forward their sensed data towards a centralized base station. The... Read More about Moving Towards Highly Reliable and Effective Sensor Networks..