Outputs (291)

Fingerprinting JPEGs With Optimised Huffman Tables (2018)
Journal Article
McKeown, S., Russell, G., & Leimich, P. (2018). Fingerprinting JPEGs With Optimised Huffman Tables. Journal of Digital Forensics, Security and Law, 13(2), Article 7. https://doi.org/10.15394/jdfsl.2018.1451

A common task in digital forensics investigations is to identify known contraband images. This is typically achieved by calculating a cryptographic digest, using hashing algorithms such as SHA256, for each image on a given medium, and comparing indiv... Read More about Fingerprinting JPEGs With Optimised Huffman Tables.

Designing Mixed Reality Experiences and Pedagogies on the NYC High Line (2018)
Presentation / Conference
O’Keefe, B., Flint, T., Friedman, E., & Benyon, D. (2018, October). Designing Mixed Reality Experiences and Pedagogies on the NYC High Line. Poster presented at Celebration of Scholarship, SUNY Farmingdale State College New York

No abstract available.

Crowdfunding Can Serve as a Pathway to Higher Education (2018)
Book Chapter
Romdhani, I., El Youssi, A., Al Mennai, M., Babah, E., & Yahya, R. (2018). Crowdfunding Can Serve as a Pathway to Higher Education. In M. Mohieldin, & D. Petkoski (Eds.), Financing Sustainable Development: Ideas for Action 2018 (43-49)

The Al-Derb platform provides a way for individual and group funding (crowdfunding) to help young people obtain grants for high-quality online education and training courses offered by universities and training centers. The availability of high-quali... Read More about Crowdfunding Can Serve as a Pathway to Higher Education.

Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers (2018)
Conference Proceeding
Loukas, C., Fioranelli, F., Le Kernec, J., & Yang, S. (2018). Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers. In 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech). https://doi.org/10.1109/dasc/picom/datacom/cyberscitec.2018.00088

This paper presents the first initial results of using radar raw I & Q data and range profiles combined with Long Short Term Memory layers to classify human activities. Although tested only on simple classification problems, this is an innovative app... Read More about Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers.

Addressing the DAO Insider Attack in RPL’s Internet of Things Networks (2018)
Journal Article
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Qasem, M., Romdhani, I., & Mackenzie, L. (2019). Addressing the DAO Insider Attack in RPL’s Internet of Things Networks. IEEE Communications Letters, 23(1), 68-71. https://doi.org/10.1109/LCOMM.2018.2878151

In RPL routing protocol, the DAO (Destination Advertisement Object) control messages are announced by the child nodes to their parents to build downward routes. A malicious insider node can exploit this feature to send fake DAOs to its parents period... Read More about Addressing the DAO Insider Attack in RPL’s Internet of Things Networks.

Interference graphs to monitor and control schedules in low-power WPAN (2018)
Journal Article
van der Lee, T., Liotta, A., & Exarchakos, G. (2019). Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014

Highlights • This study presents the complete and slotted interference graph model. • The service uses the complete interference graph to evaluate the network. • Slotted interference graphs are used to reschedule problematic connections. • Rea... Read More about Interference graphs to monitor and control schedules in low-power WPAN.

Complex-Valued Neural Networks With Nonparametric Activation Functions (2018)
Journal Article
Scardapane, S., Van Vaerenbergh, S., Hussain, A., & Uncini, A. (2020). Complex-Valued Neural Networks With Nonparametric Activation Functions. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(2), 140-150. https://doi.org/10.1109/tetci.2018.2872600

Complex-valued neural networks (CVNNs) are a powerful modeling tool for domains where data can be naturally interpreted in terms of complex numbers. However, several analytical properties of the complex domain (such as holomorphicity) make the design... Read More about Complex-Valued Neural Networks With Nonparametric Activation Functions.

Random projection neural network approximation (2018)
Conference Proceeding
Andras, P. (2018). Random projection neural network approximation. In 2018 International Joint Conference on Neural Networks (IJCNN) (1-8). https://doi.org/10.1109/IJCNN.2018.8489215

Neural networks are often used to approximate functions defined over high-dimensional data spaces (e.g. text data, genomic data, multi-sensor data). Such approximation tasks are usually difficult due to the curse of dimensionality and improved method... Read More about Random projection neural network approximation.

Requirements for 5G based telemetric cardiac monitoring (2018)
Conference Proceeding
Thuemmler, C., Hindricks, G., Rolffs, C., Buchanan, W., & Bollmann, A. (2018). Requirements for 5G based telemetric cardiac monitoring. In 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). https://doi.org/10.1109/WiMOB.2018.8589139

Several white papers have been published on general requirements for 5G in the health vertical. As 5G research and implementation continue more detailed real world information for application research are needed. This paper is focusing on the require... Read More about Requirements for 5G based telemetric cardiac monitoring.

A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations (2018)
Journal Article
Ghaleb, B., Al-Dubai, A. Y., Ekonomou, E., Alsarhan, A., Nasser, Y., Mackenzie, L. M., & Boukerche, A. (2019). A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations. Communications Surveys and Tutorials, IEEE Communications Society, 21(2), 1607-1635. https://doi.org/10.1109/COMST.2018.2874356

Driven by the special requirements of the Low-power and Lossy Networks (LLNs), the IPv6 Routing Protocol for LLNs (RPL) was standardized by the IETF some six years ago to tackle the routing issue in such networks. Since its introduction, however, num... Read More about A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations.