All Outputs (14)

Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing (2024)
Journal Article
Zhao, L., Li, T., Meng, G., Hawbani, A., Min, G., Al-Dubai, A., & Zomaya, A. (online). Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing. IEEE Transactions on Computers, https://doi.org/10.1109/TC.2024.3457729

Vehicular Edge Computing (VEC) is a transportation-specific version of Mobile Edge Computing (MEC) designed for vehicular scenarios. Task offloading allows vehicles to send computational tasks to nearby Roadside Units (RSUs) in order to reduce the co... Read More about Novel Lagrange Multipliers-Driven Adaptive Offloading for Vehicular Edge Computing.

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning (2024)
Journal Article
Chen, S., Kirton-Wingate, J., Doctor, F., Arshad, U., Dashtipour, K., Gogate, M., Halim, Z., Al-Dubai, A., Arslan, T., & Hussain, A. (online). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning. IEEE Transactions on Fuzzy Systems, https://doi.org/10.1109/tfuzz.2024.3435050

It is estimated that by 2050 approximately one in ten individuals globally will experience disabling hearing impairment. In the presence of everyday reverberant noise, a substantial proportion of individual users encounter challenges in speech compre... Read More about Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning.

VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography (2024)
Presentation / Conference Contribution
Khan, M. S., Ahmad, J., Ali, M., Dubai, A. A., Pitropakis, N., & Buchanan, W. J. (2024, July). VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography. Presented at 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), Sousse, Tunisia

In this digital era, ensuring the security of data transmission is critically important. Digital data, especially image data, needs to be secured against unauthorized access. In this regards, this paper presents a robust image encryption scheme named... Read More about VisCrypt: Image Encryption Featuring Novel Chaotic Key Generation and Block Permutation Techniques with Visual Cryptography.

User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets (2024)
Journal Article
Lin, N., Wang, Y., Zhang, E., Wan, S., Al-Dubai, A., & Zhao, L. (online). User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2024.3441606

With the proliferation of mobile applications, the explosion of mobile data traffic imposes a significant burden on backhaul links with limited capacity in heterogeneous cellular networks (HetNets). To alleviate this challenge, content caching based... Read More about User Preferences-Based Proactive Content Caching with Characteristics Differentiation in HetNets.

ML-Driven Attack Detection in RPL Networks: Exploring Attacker Position's Significance (2024)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., Romdhani, I., Ahmad, J., Aldhaheri, T., & Kulkarni, S. (2024, January). ML-Driven Attack Detection in RPL Networks: Exploring Attacker Position's Significance. Presented at 2024 International Conference on Information Networking (ICOIN), Ho Chi Minh City, Vietnam

The Routing Protocol for Low Power and Lossy Networks (RPL) plays a pivotal role in IoT communication, employing a rank-based topology to guide routing decisions. However, RPL is vulnerable to Decreased Rank Attacks, where malicious nodes illegitimat... Read More about ML-Driven Attack Detection in RPL Networks: Exploring Attacker Position's Significance.

A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol (2024)
Journal Article
Alahmadi, H., Bouabdallah, F., Al-Dubai, A., & Ghaleb, B. (online). A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/tii.2024.3417308

LoRa networks represent a promising technology for IoT applications due to their long range, low cost, and energy efficiency. However, their ALOHA-based access method and duty cycle restrictions can limit their scalability and reliability in high-den... Read More about A Novel Autonomous Adaptive Frame Size for Time-Slotted LoRa MAC Protocol.

Chaotic Quantum Encryption to Secure Image Data in Post Quantum Consumer Technology (2024)
Journal Article
Khan, M. S., Ahmad, J., Al-Dubai, A., Pitropakis, N., Ghaleb, B., Ullah, A., Khan, M. A., & Buchanan, W. J. (online). Chaotic Quantum Encryption to Secure Image Data in Post Quantum Consumer Technology. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.2024.3415411

The rapid advancement in consumer technology has led to an exponential increase in the connected devices, resulting in an enormous and continuous flow of data, particularly the image data. This data needs to be processed, managed, and secured efficie... Read More about Chaotic Quantum Encryption to Secure Image Data in Post Quantum Consumer Technology.

AI-enabled data management for digital twin networks (2024)
Book Chapter
Ak, E., Yurdakul, G., Al-Dubai, A., & Canberk, B. (2024). AI-enabled data management for digital twin networks. In H. Ahmadi, T. Q. Duong, A. Nag, V. Sharma, B. Canberk, & O. A. Dobre (Eds.), . Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbte109e_ch3

As we have discussed in previous chapters, digital twins establish contextual relationships with the surrounding entities, providing a holistic view of interconnected systems and environments. With the growing complexity and abundance of data generat... Read More about AI-enabled data management for digital twin networks.

Integrating Reality: A Hybrid SDN Testbed for Enhanced Realism in Edge Computing Simulations (2024)
Presentation / Conference Contribution
Almaini, A., Koßmann, T., Folz, J., Schramm, M., Heigl, M., & Al-Dubai, A. (2024, June). Integrating Reality: A Hybrid SDN Testbed for Enhanced Realism in Edge Computing Simulations. Presented at UNet24: The International Conference on Ubiquitous Networking, Marrakesh, Morocco

Recent advancements in Software-Defined Networking (SDN) have facilitated its deployment across diverse network types, including edge networks. Given the broad applicability of SDN and the complexity of large-scale environments, establishing a compre... Read More about Integrating Reality: A Hybrid SDN Testbed for Enhanced Realism in Edge Computing Simulations.

Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles (2024)
Journal Article
Zhao, L., Qian, H., Hawbani, A., Al-Dubai, A. Y., Tan, Z., Yu, K., & Zomaya, A. Y. (online). Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/TITS.2024.3398602

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic safety and efficiency, contributing significantly to modern transportation. The integration of Vehicle-to-Everything (V2X) further elevates road safety and fost... Read More about Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles.

Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications (2024)
Journal Article
Nair, R., Mahdi, J., Amjad, O., Maree, K., Jain, A., Al-Dubai, A., Jaradat, S., Shyha, I., Trabelsi, M., Alothamn, B., & Shehata, N. (2024). Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications. Journal of Electronic Materials, 53, 4155–4172. https://doi.org/10.1007/s11664-024-11097-7

In this study, both the optical and piezoelectric properties of polyvinylidene fluoride (PVDF) electrospun nanofibers were investigated at different needle-to-collector distances of the electrospinning process at constant applied high voltage. For pi... Read More about Parametric Study on PVDF Electrospun Nanofibers: Optical Characteristics, Piezoelectric Analysis, and Correlated Applications.

Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN (2024)
Journal Article
Makanda, K., Hawbani, A., Wang, . X., Naji, A., Al-Dubai, A., Zhao, L., & Alsamhi, S. H. (online). Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2024.3391316

Wireless Sensor Networks (WSNs) are used to sense and monitor physical conditions in various services and applications.
However, there are a number of challenges in deploying WSNs, especially those pertaining to energy replenishment. Using the curre... Read More about Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN.

PermutEx: Feature-Extraction-Based Permutation — A New Diffusion Scheme for Image Encryption Algorithms (2024)
Presentation / Conference Contribution
Khan, M. S., Ahmad, J., Al-Dubai, A., Jaroucheh, Z., Pitropakis, N., & Buchanan, W. J. (2023, November). PermutEx: Feature-Extraction-Based Permutation — A New Diffusion Scheme for Image Encryption Algorithms. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

Traditional permutation schemes mostly focus on random scrambling of pixels, often neglecting the intrinsic image information that could enhance diffusion in image encryption algorithms. This paper introduces PermutEx, a feature-extractionbased permu... Read More about PermutEx: Feature-Extraction-Based Permutation — A New Diffusion Scheme for Image Encryption Algorithms.

Wireless Power Transfer Technologies, Applications, and Future Trends: A Review (2024)
Journal Article
Alabsi, A., Hawbani, A., Wang, X., Dubai, A. A., Hu, J., Aziz, S. A., Kumar, S., Zhao, L., Shvetsov, A. V., & Alsamhi, S. H. (online). Wireless Power Transfer Technologies, Applications, and Future Trends: A Review. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2024.3380607

Wireless Power Transfer (WPT) is a disruptive technology that allows wireless energy provisioning for energy- limited IoT devices, thus decreasing the over-reliance on batteries and wires. WPT could replace conventional energy provisioning (e.g., ene... Read More about Wireless Power Transfer Technologies, Applications, and Future Trends: A Review.