Azzedine Boukerche's research while affiliated with University of Ottawa and other places

Publications (979)

Article
In the next years, drones will be part of our daily lives composing a parallel environment “over our heads,” having a dynamic traffic flow. The Internet of Drones (IoD) defines a robust and reliable distributed mobile network to manage and provide fair navigation and communication to drones. In this envisioned network environment, location privacy...
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In recent years, increasing concern about safe driving has stimulated the development of intelligent transportation systems (ITS). One of the critical technologies for realizing ITS is sharing traffic information between vehicles in real-time. Due to the inherently unstable network topology in the vehicular network environment, achieving reliable v...
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In recent years, space networks are gaining enormous attention from both research community and industries to support and elevate the design of reliable, robust, and efficient space and ground-integrated networks. The massive coverage capacity and broadband of satellite networks play a key role to space exploration, Internet access, navigation, and...
Conference Paper
A Internet dos Drones (IoD) é um paradigma de rede no qual os drones voam por vias aéreas bem definidas. O Jamming Attack (JA) representa um risco grave para a IoD, podendo afetar a trajetória dos drones. Embora o JA tenha sido investigado em redes de UAVs, as soluções existentes consideram o espaço aéreo livre para voo, enquanto na IoD os drones v...
Conference Paper
A Internet of Drones (IoD) é uma arquitetura que possibilita que diferentes drones compartilhem o mesmo espaço aéreo. Um protocolo store-carry-forward pode ser adequado para manter a comunicação na rede. Além disso, diferentes redes podem colaborar para preencher as lacunas de comunicação. O objetivo principal deste trabalho é apresentar o IoDSCF –...
Preprint
The Internet of intelligence is conceived as an emerging networking paradigm, which will make intelligence as easy to obtain as information. This paper provides an overview of the Internet of intelligence, focusing on motivations, architecture, enabling technologies, applications, and existing challenges. This can provide a good foundation for thos...
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With the recent demand of sustainable and green smart cities, we are witnessing a growing research initiative toward the development of efficient energy‐aware 5G/Wifi‐6 wireless networks. This has led to the development of what is referred to as the Internet of Energy‐based technology to support heterogeneous and complex wireless systems such as in...
Article
Urban computing (UC) is an interdisciplinary field that seeks to improve people's lives in urban areas. To achieve this objective, UC collects and analyzes data from several sources. In recent years, the Internet of Drones (IoD) has received significant attention from the academic community and has emerged as a potential data source for UC applicat...
Preprint
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Mobile Crowdsensing (MCS) is a sensing paradigm that has transformed the way that various service providers collect, process, and analyze data. MCS offers novel processes where data is sensed and shared through mobile devices of the users to support various applications and services for cutting-edge technologies. However, various threats, such as d...
Article
Software-Defined Vehicular Networks (SDVNs) have been a vital addition to the design of intelligent vehicular networks. SDVNs elevate the constraints of static hardware network devices by using programmable units, providing a global view of the network status, and standardizing the interface between different wireless access technologies. However,...
Article
With the widespread application of deep learning methodologies, many fields including Intelligent Transportation Systems (ITS) have integrated neural network-based models. In return, the promising performance of neural network-based models attracts more research efforts being paid to the deep learning area. Autonomous vehicles, as the future ITS pa...
Article
Driver identification has emerged as an active field of study to further personalize the integrated advanced driver-assistance systems into intelligent vehicles, provide security and safety for ride-hailing services, and prevent auto theft. Several studies, within recent years, have investigated non-intrusive identification approaches, focusing on...
Article
Vehicle Make and Model Recognition (VMMR) requires fast and accurate recognition of a vehicle's information. Generally, the vision-based VMMR method recognizes different vehicle models that mainly rely on locating and extracting the discriminative part features of a vehicle. In this paper, we propose a Lightweight Recurrent Attention Unit (LRAU) to...
Article
In Mobile Crowdsensing (MCS), fake tasks can drain significant amount of resources. This paper proposes a new methodology to determine a proper time window for the training dataset and the impact of the accuracy of task legitimacy detection on the MCS campaign performance. To reach the desired performance, the task legitimacy detection is utilized...
Article
The COVID-19 pandemic has stretched public health resources to the limits, and the only realistic way to keep the infection rates low is effective testing to prevent community transmission. In this research study, we propose an innovative method to empower autonomous vehicle-driven mobile assessment facilities to support early detection of the case...
Conference Paper
The Internet of Drones (IoD) is a novel network paradigm that presents a unique mobile network scenario with particular characteristics. Hence, privacy is a mandatory aspect to be assured, but there is a lack of studies regarding location privacy protection in IoD. Mix Zones is a location privacy protection mechanism well explored in terrestrial mo...
Article
Floods are the most common disaster in the world and cause deaths, damages to houses, buildings, and possessions, as well as disruption to communications. In such dynamic scenarios, it is needed to search and track mobile objects transported by the water flows, such as humans, animals, vehicles, and debris. The use of Unmanned Aerial Vehicles (UAVs...
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In smart cities, connected and automated surveillance systems play an essential role in ensuring safety and security of life, property, critical infrastructures and cyber-physical systems. The recent trend of such surveillance systems has been to embrace the use of advanced deep learning models such as convolutional neural networks for the task of...
Article
With the vast expansion of data loads across numerous safety and infotainment applications, the software-defined paradigm has become a critical component for 5G-enabled and intelligent vehicular networks. By transforming the network’s rigid hardware devices into programmable units, SDVN offers a broad view of the entire network status and a standar...
Article
Internet of Things (IoT) and 5G network are fundamental building blocks for Industrial Internet of Things (IIoT). IoT has enabled real-time monitoring and actuation in industrial floors and machinery,aimed at improving the efficiency and safety of industrial activities and processes. On the other hand,5G networks will provide ultra-reliable and low...
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The Intelligent Transport Systems (ITS) has the objective quality of transportation improvement through transportation system monitoring and management and makes the trip more comfortable and safer for drivers and passengers. The mobile clouds can assist the ITS in handling the resource management problem. However, resource allocation management in...
Article
Intelligent transportation systems (ITS) have become a popular method for enhancing transportation safety and efficiency. As essential participants of ITS, autonomous vehicles need to detect pedestrians accurately. In this paper, we propose a one-stage anchor-free pedestrian detection model named Bi-Center Network (BCNet), which is aided by the sem...
Article
Intelligent transportation systems (ITS) enable transportation participants to communicate with each other by sending and receiving messages, so that they can be aware of their surroundings and facilitate efficient transportation through better decision making. As an important part of ITS, autonomous vehicles can bring massive benefits by reducing...
Article
With the vast data loads produced by numerous applications and services, network softwarization became a vital addition to the design of intelligent heterogeneous vehicular networks. Smart Software-Defined Vehicular Networks (S-SDVN) are promising solutions that support various applications and protocols such as network mobility management, routing...
Article
The instance price in the Amazon EC2 spot model is often much lower than in the on-demand counterpart. However, this price reduction comes with a decrease in the availability guarantees. To our knowledge, there is no work that accurately captures the short-term trade-off between spot price and availability, and does long-term analysis for spot pric...
Article
The next generation of sustainable vehicular networks is expected to have a wide range of access technologies, multi-homing capabilities, and traffic demand and pattern heterogeneity. In order to deliver massive data loads from various services and applications to end-users, network softwarization is a key contributor that mitigates challenges in h...
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In recent years, neural networks-based autoencoders have gained popularity in problems of anomaly detection. Recent approaches have proposed ensembles of autoencoders to detect network intrusions. The computationally expensive ensembles of autoencoders make it challenging to be used for intrusion detection in networks of devices with lower resource...
Article
Internet of Things(IoT) facilitates key technologies that rely on sensing, communication and processing in daily routines. As an IoT-enabled paradigm, mobile crowdsensing (MCS) can offer more possibilities for data collection to support various IoT applications and services. As an extension, MCS can be used for data gathering amid COVID-19 pandemic...
Article
In wireless sensor networks, energy efficiency is a very critical issue as it impacts the network’s lifetime and performance. Mobile data collection and wireless charging are two promising emerging techniques for enhancing energy efficiency. To achieve high charging rates and implement data collection with less energy consumption of sensors, we des...
Article
The advent of in-vehicle networking systems as well as state-of-the-art sensors and communication technologies have facilitated the collection of large volume and almost real-time data on vehicles and drivers, thus opening up future possibilities. Processing and analyzing this data provides unprecedented opportunities to offer remarkable insights a...
Article
Fuel consumption and gas emissions of traveling vehicles have become of great consideration for green environmental researchers. Several technologies have been developed to enhance the efficiency of daily traveling vehicles in terms of fuel consumption. Moreover, many protocols have been developed to reduce the fuel consumption and emissions of tra...
Article
Underwater wireless sensor networks (UWSNs) have emerged as an enabling technology for aquatic monitoring. However, data delivery in UWSNs is challenging, due to the harsh aquatic environment and characteristics of the underwater acoustic channel. In recent years, underwater nodes with multi-modal communication capabilities have been proposed to cr...
Article
Intelligent vehicular networks emerge as a promising technology to provide efficient data communication in transportation systems and smart cities. At the same time, the popularization of devices with attached sensors has allowed the obtaining of a large volume of data with spatiotemporal information from different entities. In this sense, we are f...
Article
Vision-based Automated Vehicle Recognition (VAVR) has attracted considerable attention recently. Particularly given the reliance on emerging deep learning methods, which have powerful feature extraction and pattern learning abilities, vehicle recognition has made significant progress. VAVR is an essential part of Intelligent Transportation Systems....
Article
Improving the efficiency of traffic signal control is an effective way to alleviate traffic congestion at signalized intersections. To achieve effective management of the system-wide traffic flows, current researches tend to focus on applying reinforcement learning (RL) techniques for collaborative traffic signal control in a traffic road network....
Article
The concept of Multi-access Edge Computing (MEC) extends the provisioning of computing and storage capabilities from remote Cloud Data Centers (DC) to the proximity of end users via heterogeneous networks. By augmenting User Equipment (UE) with external computing power under the local coverage, Cloudlet-based offloading performs as a critical enabl...
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Full-text available
Software-Defined Vehicular Networks (SDVNs) have been a vital component to various radio access technologies that supports massive data loads in various security and infotainment applications. SDVNs elevate the constraints of static hardware network devices to programmable units and provide a global view of the network's status and a common interfa...
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Full-text available
Artificial Intelligence (AI) has revolutionized today's Internet of Things (IoT) applications and services by introducing significant technological enhancements across a multitude of domains. With the deployment of the fifth generation (5G) mobile communication network, smart city visions of fast, on-demand, intelligent user-specific services are n...
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Fifth generation (5G) wireless networks are designed to meet various end-user quality of service (QoS) requirements through high data rates (typically of gigabits per second) and low latencies. Coupled with fog and mobile edge computing, 5G can achieve high data rates, enabling complex autonomous smart city services such as the large deployment of...
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In the recent years, the Internet of Things has been becoming a vulnerable target of intrusion attacks. As the academia and industry move towards bringing the Internet of Things (IoT) to every sector of our lives, much attention needs to be given to develop advanced Intrusion Detection Systems (IDS) to detect such attacks. In this work, we propose...
Article
The recent boom of autonomous driving nowadays has made object detection in traffic scenes a hot topic of research. Designed to classify and locate instances in the image, this is a basic but challenging task in the computer vision field. With its powerful feature extraction abilities, which are vital for object detection, deep learning has expande...
Article
The Fifth Generation (5G) communication technology has paved the way for intelligent and diversified Internet of Connected Vehicles (IoCV) services that meet stringent Quality of Service (QoS) requirements. Both Artificial Intelligence (AI) and Blockchain are playing and will continue to play an imperative role in providing secure and decentralized...
Article
With the rapid development of information technology at the beginning of the 21st century, the traditional transportation system is rapidly transforming to Intelligent Transportation System (ITS). Meanwhile, as a powerful optimization tool for the applications’ performance under the framework of ITS, the traffic prediction model has gained much att...
Article
Nowadays, with the recent advances of wireless underwater communication and acoustic sensor devices technology, we are witnessing a surge in the exploration and exploitation of the ocean’s abundant natural resources. Accordingly, to fulfill the requirements of the exploration of the ocean, researchers have focused their work toward the design of me...
Article
North Atlantic Right Whales (NARW) is at a dangerous risk of extinction. Nowadays, there are approximately 360 individuals. These animals have been listed in the Endangered Species Act since 1970. While whaling was the principal source of risk for the survival of right whales in the past centuries, their current threats are vessel strikes, entangle...
Article
In this paper, we focus on the usage of MQTT (Message Queuing Telemetry Transport) within Connected Vehicles (CVs). Indeed, in the original version of MQTT protocol, the broker is responsible "only" for sending received data to subscribers; abstracting then the underlying mechanism of data exchange. However, within CVs context, subscribers (i.e., t...
Article
Intelligent Transportation Systems (ITS) have attracted an increasing amount of attention in recent years. Thanks to the fast development of vehicular computing hardware, vehicular sensors and citywide infrastructures, many impressive applications have been proposed under the topic of ITS, such as Vehicular Cloud (VC), intelligent traffic controls,...