Outputs (18)

Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks (2020)
Journal Article
Zhao, L., Zhao, W., Hawbani, A., Al-Dubai, A. Y., Min, G., Zomaya, A., & Gong, C. (2021). Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks. IEEE Transactions on Wireless Communications, 20(5), 2991-3004. https://doi.org/10.1109/twc.2020.3046275

To provide efficient networking services at the edge of Internet-of-Vehicles (IoV), Software-Defined Vehicular Network (SDVN) has been a promising technology to enable intelligent data exchange without giving additional duties to the resource constra... Read More about Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks.

Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms (2020)
Journal Article
Ghanami, A., Li, . J., Hawbani, A., & Al-Dubai, A. (2021). Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms. Expert Systems with Applications, 170, Article 114525. https://doi.org/10.1016/j.eswa.2020.114525

Initialization is the first and a major step in the implementation of evolutionary algorithms (EAs). Although there are many common general methods to initialize EAs such as the pseudo-random number generator (PRNG), there is no single method that ca... Read More about Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms.

A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network (2020)
Presentation / Conference Contribution
Thomson, C., Wadhaj, I., Al-Dubai, A., & Tan, Z. (2020, April). A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network. Presented at IEEE 6th World Forum on Internet of Things, New Orleans, Louisiana, USA

The issue of energy holes, or hotspots, in wireless sensor networks is well referenced. As is the proposed mobilisa-tion of the sink node in order to combat this. However, as the sink node shall still pass some nodes more closely and frequently than... Read More about A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network.

A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading (2020)
Journal Article
Zhao, L., Yang, K., Tan, Z., Li, X., Sharma, S., & Liu, Z. (2021). A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3664-3674. https://doi.org/10.1109/TITS.2020.3024186

Vehicular computation offloading is a well-received strategy to execute delay-sensitive and/or compute-intensive tasks of legacy vehicles. The response time of vehicular computation offloading can be shortened by using mobile edge computing that offe... Read More about A Novel Cost Optimization Strategy for SDN-Enabled UAV-Assisted Vehicular Computation Offloading.

Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks (2020)
Journal Article
Hawbani, A., Wang, X., Zhao, L., Al-Dubai, A., Min, G., & Busaileh, O. (2020). Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks. IEEE/ACM Transactions on Networking, 28(6), 2809-2822. https://doi.org/10.1109/TNET.2020.3020984

This article extends the promising software-defined networking technology to wireless sensor networks to achieve two goals: 1) reducing the information exchange between the control and data planes, and 2) counterbalancing between the sender's waiting... Read More about Novel Architecture and Heuristic Algorithms for Software-Defined Wireless Sensor Networks.

Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks (2020)
Journal Article
Alsarhan, A., Al-Ghuwairi, A.-R., Almalkaw, I., Alauthman, M., & Al-Dubai, A. (2021). Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks. Wireless Personal Communications, 117, 3129-3152 (2021). https://doi.org/10.1007/s11277-020-07797-y

An essential element in the smart city vision is providing safe and secure journeys via intelligent vehicles and smart roads. Vehicular ad hoc networks (VANETs) have played a significant role in enhancing road safety where vehicles can share road inf... Read More about Machine Learning-driven Optimization for Intrusion Detection in Smart Vehicular Networks.

Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks (2020)
Journal Article
Busaileh, O., Hawbani, A., Xingfu, W., Liu, P., Zhao, L., & Al-Dubai, A. (2022). Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 21(4), 1520-1536. https://doi.org/10.1109/TMC.2020.3022403

Wireless sensor networks (WSNs) with a static sink suffer from concentrated data traffic in the vicinity of the sink, which increases the burden on the nodes surrounding the sink, and impels them to deplete their batteries faster than other nodes in... Read More about Tuft: Tree Based Heuristic Data Dissemination for Mobile Sink Wireless Sensor Networks.

Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications (2020)
Book
Maleh, Y., Shojaafar, M., Alazab, M., & Romdhani, I. (Eds.). (2020). Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications. CRC Press

Blockchain Technology is defined as a decentralized system of distributed registers that are used to record data transactions on multiple computers. The reason this technology has gained popularity is that you can put any digital asset or transaction... Read More about Blockchain for Cybersecurity and Privacy: Architectures, Challenges, and Applications.

A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model (2020)
Journal Article
Lin, N., Fu, L., Zhao, L., Min, G., Al-Dubai, A., & Gacanin, H. (2020). A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model. IEEE Transactions on Wireless Communications, 19(7), 4919-4933. https://doi.org/10.1109/TWC.2020.2988363

Drones can be used in many assistance roles in complex communication situations and play key roles as aerial wireless relays to help terrestrial network communications. Although a great deal of emphasis has been placed on the drone-assisted networks,... Read More about A Novel Multimodal Collaborative Drone-Assisted VANET Networking Model.

Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges (2020)
Journal Article
Zhao, L., Al-Dubai, A., Zomaya, A. Y., Min, G., Hawbani, A., & Li, J. (2021). Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges. IEEE Intelligent Transportation Systems Magazine, 13(4), 217-226. https://doi.org/10.1109/MITS.2019.2953557

Software-defined vehicular networks (SDVN) is a promising technology to overcome the limitations of current vehicular networking. However, existing vehicular routing schemes are not equipped to handle communication in SDVNs. In addition, routing sche... Read More about Routing Schemes in Software-Defined Vehicular Networks: Design, Open Issues and Challenges.

Trust-aware and Cooperative Routing Protocol for IoT Security (2020)
Journal Article
Djedjig, N., Tandjaoui, D., Medjek, F., & Romdhani, I. (2020). Trust-aware and Cooperative Routing Protocol for IoT Security. Journal of Information Security and Applications, 52, Article 102467. https://doi.org/10.1016/j.jisa.2020.102467

The resource-constrained nature of IoT objects makes the Routing Protocol for Low-power and Lossy Networks (RPL) vulnerable to several attacks. Although RPL specification provides encryption protection to control messages, RPL is still vulnerable to... Read More about Trust-aware and Cooperative Routing Protocol for IoT Security.

Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures (2020)
Presentation / Conference Contribution
Pitropakis, N., Logothetis, M., Andrienko, G., Karapistoli, I., Stephanatos, J., & Lambrinoudakis, C. (2019, September). Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures. Presented at 5th Workshop on the Security of Industrial Control Systems & of Cyber-Physical Systems (CyberICPS 2019), Luxembourg, Luxembourg

The maritime ecosystem has undergone through changes due to the increasing use of information systems and smart devices. The newly introduced technologies give rise to new attack surface in maritime infrastructures. In this position paper, we propose... Read More about Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures.

Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset (2020)
Journal Article
Foley, J., Moradpoor, N., & Ochen, H. (2020). Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset. Security and Communication Networks, 2020, Article 2804291. https://doi.org/10.1155/2020/2804291

One of the important features of Routing Protocol for Low-Power and Lossy Networks (RPL) is Objective Function (OF). OF influences an IoT network in terms of routing strategies and network topology. On the other hand, detecting a combination of attac... Read More about Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks Against Two Objective Functions Using a Novel Dataset.

Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications (2020)
Journal Article
Tanoli, S. A. K., Shah, S. A., Khan, M. B., Nawaz, F., Hussain, A., Al-Dubai, A. Y., Khan, I., Shah, S. Y., & Alsarhan, A. (2020). Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications. IEEE Access, 8, 29395-29406. https://doi.org/10.1109/access.2020.2969750

Wireless communication using existing coding models poses several challenges for RF signals due to
multipath scattering, rapid fluctuations in signal strength and path loss effect. Unlike existing works, this
study presents a novel cod... Read More about Impact of Relay Location of STANC Bi-Directional Transmission for Future Autonomous Internet of Things Applications.

Delegation of Authentication to the Data Plane in Software-Defined Networks (2020)
Presentation / Conference Contribution
Almaini, A., Al-Dubai, A., Romdhani, I., & Schramm, M. (2019, October). Delegation of Authentication to the Data Plane in Software-Defined Networks. Presented at 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS), Shenyang, China

OpenFlow is considered as the most known protocol for Software Defined Networking (SDN). The main drawback of OpenFlow is the lack of support of new header definitions, which is required by network operators to apply new packet encapsulations. While... Read More about Delegation of Authentication to the Data Plane in Software-Defined Networks.

BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN (2020)
Presentation / Conference Contribution
Boukria, S., Guerroumi, M., & Romdhani, I. (2019, June). BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN. Presented at 11th IEEE International Workshop on Performance Evaluation of Communications in Distributed Systems and Web based Service Architectures, PEDISWESA'2019, Barcelona, Spain

Software Defined Networking (SDN) technology increases the evolution of Internet and network development. SDN, with its logical centralization of controllers and global network overview changes the network's characteristics, on term of flexibility, a... Read More about BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN.

FIMPA: A Fixed Identity Mapping Prediction Algorithm in Edge Computing Environment (2020)
Journal Article
Zhang, S., Liu, Y., Li, S., Tan, Z., Zhao, X., & Zhou, J. (2020). FIMPA: A Fixed Identity Mapping Prediction Algorithm in Edge Computing Environment. IEEE Access, 8, 17356-17365. https://doi.org/10.1109/access.2020.2966399

Edge computing is a research hotspot that extends cloud computing to the edge of the network. Due to the recent developments in computation, storage and network technology for end devices, edge networks have become more powerful, making it possible t... Read More about FIMPA: A Fixed Identity Mapping Prediction Algorithm in Edge Computing Environment.

FairEdge: A Fairness-Oriented Task Offloading Scheme for Iot Applications in Mobile Cloudlet Networks (2020)
Journal Article
Lai, S., Fan, X., Ye, Q., Tan, Z., Zhang, Y., He, X., & Nanda, P. (2020). FairEdge: A Fairness-Oriented Task Offloading Scheme for Iot Applications in Mobile Cloudlet Networks. IEEE Access, 8, 13516-13526. https://doi.org/10.1109/access.2020.2965562

Mobile cloud computing has emerged as a promising paradigm to facilitate computation-intensive and delay-sensitive mobile applications. Computation offloading services at the edge mobile cloud environment are provided by small-scale cloud infrastruct... Read More about FairEdge: A Fairness-Oriented Task Offloading Scheme for Iot Applications in Mobile Cloudlet Networks.