About
1,418
Publications
638,651
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
45,338
Citations
Introduction
Additional affiliations
October 2022 - present
Senac Faculty of Ceará
Position
- Professor & Coordinator
August 2016 - July 2019
January 2002 - present
Publications
Publications (1,418)
The Internet of Things (IoT) and its industrial counterpart, the Industrial Internet of Things (IIoT), have transformed sectors such as home automation, healthcare, and manufacturing by enhancing data management through advanced networking. However, the rapid growth of IIoT has introduced significant cybersecurity challenges, necessitating a compre...
The integration of Electric Vehicles (EVs) into the energynet, the network from power generation to EV charging station, presents a symbiotic relationship with potential benefits for sustainable and efficient transportation. However, the existing research has revealed challenges in maintaining an equilibrium between energy supply and demand, often...
Cloud-based Intelligence of Things is significant for Augmented Enterprise Management Systems. Data integrity auditing is challenging in the intelligence of things environment, mainly when the newer versions in the public cloud environment update existing encrypted data. The related literature on cloud-based intelligence relies on encrypted data up...
Traffic congestion has become a major issue that is being faced by the majority of road users. The increasing vehicle usage, and the lack of space and funds to construct new transport infrastructure, further complicates the issue. In this scenario, it is important to come up with an intelligent and economical solution that improves the quality of r...
The Internet of Things (IoT) has become a revolutionary concept that connects various devices and systems to enable smooth communication and data exchange. In this vast network, unmanned aerial agents (UAA)-assisted mobile edge computing (MEC) communication plays a crucial role in facilitating direct interaction between edge devices. This aspect of...
Efficient communication in massive multiple-input multiple-output (MIMO) systems relies on accurate channel estimation to optimize signal transmission efficiency, reliability, and minimize interference and power consumption. However, the presence of non-uniform array gain-phase perturbations among antenna elements poses practical challenges, degrad...
Intelligent detection techniques for Online spamming have been a hot concern in academia. Although much technical progress has been achieved in recent years, two aspects of challenges are still confronted by scholars. For one thing, spamming activities are accompanied by multisource attributes such as behaviors, semantics, etc. For another, spammin...
Intergrating multi-access edge computing (MEC) with the Internet of Things (IoT) is able to provide IoT sufficient computational resources in addition to its capabilities of sensing and communication. In this paper, given the limited computational and energy resources, IoT devices (IDs) are allowed to offload computational tasks to MEC severs for e...
The Internet of Medical Things (IoMT) is a compelling networking paradigm integrating wireless communications sensors, connected devices, and embedded computing technologies. The IoMT involves the collection of real-time health data using sophisticated medical sensors. In recent years, the IoMT has become increasingly significant within the broader...
This paper explores the transformative potential of integrating Augmented Intelligence with Internet of Things (IoT) in autonomous vehicles, a concept we term AIoT. We begin by examining the critical roles of IoT and augmented intelligence in automotive technology, delineating their evolution and synergistic benefits when unified. The crux of our i...
In an era of 5 G smart cities, precise traffic prediction remains elusive due to limited real-world data. Our paper introduces a novel approach using Generative Adversarial Networks (GANs) to create synthetic traffic data that closely mimics real-world statistics. This artificial dataset enhances our new 5GT-GAN-NET-based prediction model. The resu...
This study explores the fusion of Internet of Things (IoT) and advanced imaging technologies in the field of poultry farming, aiming to enhance both farm management and animal welfare. We investigate the application of IoT in a poultry farm environment, focusing on real-time monitoring of chickens for disease detection while ensuring data privacy d...
The proliferation of Autonomous Vehicles (AVs) in recent times has opened up new possibilities for effective and secure transportation. However, with the increasing adoption of AVs, guaranteeing the accuracy and security of their sensory systems is becoming paramount. Specifically, the vulnerability of these systems to malware and sensor faults can...
In mobile edge computing (MEC), task offloading can significantly reduce task execution latency and energy consumption of end user (EU). However, edge server (ES) resources are limited, necessitating efficient allocation to ensure the sustainable and healthy development for MEC systems. In this paper, we propose a dynamic pricing mechanism based ne...
Presently, the Vehicular Ad-hoc Network (VANET) is very important for the entire traffic management system. The 5th Generation (5G) enables VANET and Intelligent Transportation Systems (ITS) to connect devices in the million/sqkm range with improved performance, incredible transmission speed (terabit), and less cost to serve a vast, transformative,...
In smart communities, Electric vehicles (EVs) have grown in popularity as a key component of the energy ecosystem where the focus has turned to the generation of clean, sustainable energy. The integration of EVs, charging stations (CS), and smart grids (SG), however, poses significant challenges in terms of energy trading (ET) optimization and prof...
As a component of the Intelligent Transportation System (ITS), Internet of Vehicles (IoV) is becoming increasingly important in the management and construction of urban transportation as it can provide users with a range of applications related to traffic accident warnings, entertainment information, collaborative driving and real-time road informa...
6G heterogeneous wireless networks (HWNs) mark a significant advancement in network technologies, offering unparalleled opportunities to enhance quality of service (QoS) and optimize spatial spectrum utilization. Amidst these advancements, securing these sophisticated, ultra-dense 6G-HWNs becomes paramount, especially in the realm of consumer elect...
Effective data management schemes have always been the major demand in universal industrial Internet of Things (IoT) systems, especially in resource-constrained scenarios. In realistic wastewater treatment process (WTP), only limited monitoring data resource can be available due to some digital constraint. Aiming at this practical issue, this work...
Access control is an important security parameter in industrial networks; a mismanaged access control system leads to security breaches. The existing security solutions significantly consider the access control methods in the Industrial Internet of Things (IIoT); however, falsified identity can bypass the secure access control system. Thus, a centr...
Metaverse is an emerging research area where substantially virtualized realities and interactive digital spaces meet through augmented reality (AR), virtual reality (VR), and Internet of Things (IoT). This amalgamation confers a multifaceted platform for healthcare innovation, extending from remote surgeries to immersive patient education. Neverthe...
Node localization is critical for accessing diverse nodes that provide services in remote places. Single-anchor localization techniques suffer co-linearity, performing poorly. The reliable multiple anchor node selection method is computationally intensive and requires a lot of processing power and time to identify suitable anchor nodes. Node locali...
In the ever-evolving landscape of technology, healthcare continuously harnesses its benefits, propelling advancements in medical practices. Within intelligent healthcare, medical robots play a pivotal role, providing integral support to healthcare professionals, streamlining processes, and delivering efficient services. These robots securely transm...
As the growing trends in technology continue to drive massive transformation throughout the automotive sector, connected and autonomous transportation has become the future vision. Many researchers and practitioners wonder how connected, and autonomous vehicles will affect future transportation. This Special Issue explores some issues in the transi...
In recent times, there has been a notable rise in the utilization of Internet of Medical Things (IoMT) frameworks particularly those based on edge computing, to enhance remote monitoring in healthcare applications. Most existing models in this field have been developed temperature screening methods using RCNN, face temperature encoder (FTE), and a...
For Unmanned Aerial Vehicles (UAVs) with Tiny Machine Learning (TML), there is mutual exclusivity between the energy consumption for flight and the energy consumption to support their computation and processing. IoUAVs integrated with TML systems often consume substantial amounts of energy during flights, particularly when engaged in extended cover...
Artificial intelligence enhanced Internet of unmanned aerial vehicles (UAVs) is a promising network to achieve the complicated vehicular tasks and construct intelligent communication networks. One of the critical tasks is to guarantee a secure network access while achieving trade-off between accuracy and latency through lightweight deployment on re...
The paper presents a scheme, Quant-Jack, which
employs Quantum Machine Learning (QML) to combat the
cryptojacking threat in Industrial Internet-of-Things (IIoT)
networks. We propose a dual-layered QML architecture, based
on Quantum Neural Networks (QNN) architecture. The first
layer is the QNN detection layer that operates via a weighted
sum approa...
This special issue comprises 12 articles, showcasing the latest advances in computational social systems research.
The Internet of Vehicles (IoV) integrates wireless, mobile networking, cloud infrastructure, IoT, and wireless sensor networks, establishing an intelligent transportation system. While electric vehicles (EVs) contribute to environmental sustainability, they encounter challenges; battery-swapping technology emerges as a viable solution. Nevertheless...
As the energy management undergoes rapid transformations, there’s an imperative need for innovative energy management frameworks. Responding to this, our research introduces an advanced energy management framework, synergistically combining quantum computing advancements with a robust trust management system. At the core of our proposition is the u...
Intelligent data processing harnesses the power of learning, analytics, and automated data insight extraction to guide managers through decision making, which emerged as imperative tools in computer science and information processing. However, the huge amount and complexity of the data acquired pose great challenges for processing and analysis. A g...
As wireless communication technology continues to advance, the number of intelligent devices, such as computers, mobile phones, and iPads, is increasing rapidly. To keep up with the growing demand for data and improved network efficiency, additional base stations (BSs) are deployed, and bandwidth allocation is being increased in the sixth-generatio...
Human pose estimation has been a prevalent field of computer vision and sensing study. In recent years, it has made many advances that have helped humanity in the fields of sports, surveillance, healthcare, etc. Yoga is an ancient science intended to improve physical, mental and spiritual wellbeing. It involves many kinds of asanas or postures that...
A land administration system (LAS) is a structured framework designed to govern the management of land resources in a specific region or country. However, LAS faces challenges like inefficiencies, a lack of transparency, and susceptibility to fraud. The digitization of land records improved efficiency but failed to address manipulation, centralized...
In a smart city, IoT devices are required to support monitoring of normal operations such as traffic, infrastructure, and the crowd of people. IoT‐enabled systems offered by many IoT devices are expected to achieve sustainable developments from the information collected by the smart city. Indeed, artificial intelligence (AI) and machine learning (M...
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by technological advancements, computer systems, far from being static, have been continuously evolving and adapti...
The implementation of Internet of Things (IoT) as Cyber-Physical Systems (CPS) is essential for the advancement of smart healthcare within a highly digital environment. However, the development of medical CPS (MCPS) poses various challenges, particularly in terms of dependability and security. The complex nature of medical IoT components encompasse...
Respiratory diseases are among the leading causes of death globally, with the COVID-19 pandemic serving as a prominent example. Issues such as infections affect a large population and, depending on the mode of transmission, can rapidly spread worldwide, impacting thousands of individuals. These diseases manifest in mild and severe forms, with sever...
Software Defined Networks (SDN) have revolutionized multimedia communication systems with their dynamic resource allocation and load balancing capabilities. However, ensuring security and trust within these networks poses significant challenges which is the aim of this research to improve SDN security and efficiency in consumer applications. The pr...
Digital intelligence through information has contributed to the evolution of smart cities particularly in energy usage, human wellness, knowledge transfer, and urban development. Modern industrial, residential, transit, and commercial operations demand sustainable resource management and seamless communication. The sustainable environment has a net...
Generative artificial intelligence (GAI) can be broadly described as an artificial intelligence system capable of generating images, text, and other media types with human prompts. GAI models like ChatGPT, DALL-E, and Bard have recently caught the attention of industry and academia equally. GAI applications span various industries like art, gaming,...
In the contemporary landscape of vehicular communications, the role of vehicular ad-hoc networks (VANETs) has become increasingly pivotal, transcending the capabilities of traditional mobile ad-hoc networks (MANETs). These advancements in VANETs play a critical role in enhancing traffic management systems, promoting collision prevention, bolstering...
Recently, three-dimensional (3D) point-cloud analysis has been extensively utilized in the domain of machine vision, encompassing tasks include shape classification and segmentation. However the inherent disorder in point clouds poses a challenge in capturing relationships among points, particularly when dealing with mutilated and occluded data. To...
Cloud computing offers dynamic, scalable, and virtualized computing resources to end users over the internet. Load balancing is crucial for efficient resource use, distributing workloads across multiple resources to prevent overloading. Load balancing is crucial for resource utilization and processing time reduction, but traditional algorithms are...
Network management is a crucial task to maintain modern systems and applications running. Some applications have become vital for society and are expected to have zero downtime. Software-defined networks is a paradigm that collaborates with the scalability, modularity and manageability of systems by centralizing the network’s controller. However, t...
This study investigates the integration and utilization of diverse data forms within consumer electronics, with a particular emphasis on Internet of Things (IoT) technologies. We introduce innovative data fusion techniques designed to enhance decision-making precision in IoT-enabled consumer electronics. While our findings are relevant not only for...
The burgeoning concept of the metaverse as an interconnected virtual space represents the forefront of the next-generation internet. Quantum teleportation, known for its prowess in ensuring secure and reliable communications, stands poised to revolutionize interactions within this immersive digital realm. In this context, we propose a comprehensive...
Nowadays, the importance of Quality of Experience (QoE) has gained increasing attention from online consumers. For service providers, developing effective sentiment analysis approaches is essential to accurately capture and understand the emotional characteristics of consumers, thereby enhancing consumer QoE. However, existing research often encoun...
Efficient and reliable management of the business operations within the food supply chain is crucial to ensure the quality, safety, traceability, and security of food products. Streamlining different food supply chain management operations by utilizing cutting-edge technologies such as Cloud computing and the Internet of Things (IoT) has gained eno...
Vehicle-to-Infrastructure (V2I) and Vehicle-to Vehicle (V2V) communications play crucial roles in Vehicular Ad Hoc Networks (VANETs), enabling real-time data exchange and enhancing road safety. These communication methods necessitate robust authenticated key exchange (AKE) mechanisms to protect user privacy and prevent unauthorized access. Recent r...
Track quality and train operating safety depend on routine inspections of track components. According to statistics from the Federal Railroad Administration (FRA), train accidents in the United States are primarily caused by the failure of track components. Existing technologies, such as fault detection and fault segmentation, have been used to inc...
There is an explosive growth of intelligent devices in the IoT ecosystem over the years. Owing to the massive multiple access at the network edge, there is increased latency and transmission overhead. Multi-access edge computing (MEC) is a key technology used to offload the wireless devices from the computational tasks. But the wireless signal prop...
The substantial growth in data volume has led to considerable technological obstacles on the Internet. In order to address the high volume of Internet traffic, the research community has investigated the improvement of Internet architecture by implementing centrality-based caching, which could involve collaborative efforts. Different centrality-bas...
The preface of the permeated metaverse together with Web 3.0, has confluenced virtual and physical reality and can revolutionize social networks, healthcare, gaming and the educational system. Unfortunately, this assimilation has divulged ways for physical and virtual-reality-synthesized security threats like avatar impersonation and sybil attacks....
With the rise in industries and population, electricity demand is increasing daily. Microgrids play a crucial role in providing green energy by utilizing renewable energy resources. Microgrids not only help meet the growing electricity demand but also reduce global warming and greenhouse effects. However, many homeowners are hesitant or reluctant t...
Autonomous aerial vehicle (AAV)-assisted mobile edge computing systems have high mobility and can be deployed in various rugged terrain and emergency scenarios for communication and monitoring. However, the malicious use of AAV swarms poses a potential threat to key areas. Therefore, accurate positioning of AAV swarms is crucial for the security of...