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ConvLSTMTransNet: A Hybrid Deep Learning Approach for Internet Traffic Telemetry
2024 IEEE Virtual Conference on Communications (VCC)
Year: 2024 | Conference Paper |
In this paper, we present a novel hybrid deep learning model, named ConvLSTMTransNet, designed for time series prediction, with a specific application to internet traffic telemetry. This model integrates the strengths of Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Transformer encoders to capture complex spatial-temporal relationships inherent in time series da...Show More
Generative Adversarial Networks for IoT Security: A Convolutional Neural Network Approach
Brandon Fernandez;Hafiz Yasir Noor;Isaac Woungang;Glaucio H.S. Carvalho
2024 IEEE Virtual Conference on Communications (VCC)
Year: 2024 | Conference Paper |
The integration of Internet of Things (IoT) devices across various sectors has brought significant advancements but has also heightened security vulnerabilities. To address these challenges, it is essential to develop efficient and accurate detection systems for malicious network traffic at the packet level. This paper presents a novel approach utilizing a Convolutional Neural Network (CNN)-based ...Show More
Regression and Deep Learning for Proactive Density-aware 5G Handovers in Vehicular Networks
GLOBECOM 2024 - 2024 IEEE Global Communications Conference
Year: 2024 | Conference Paper |
5G technology offers high bandwidth, stability, and reliability among connected vehicles, which is necessary for increasing data sharing in intelligent transportation. While providing these benefits with its small cellular range and densification, it also presents a challenge in frequent handovers (HOs). This issue can result in unnecessary HO, HO failures, and ping-pong effects, negatively impact...Show More
Vehicular Network Security Against RF Jamming: An LSTM Detection System
Mubashir Murshed;Afrin Jubaida;Robson E. de Grande;Glaucio H.S. Carvalho
2024 IEEE International Conference on Cyber Security and Resilience (CSR)
Year: 2024 | Conference Paper |
The evolution of Intelligent Transportation Systems has ushered in a new era, offering extensive safety and comfort services through Vehicular Networks (VNs). With connected vehicles generating and disseminating vast amounts of data, encompassing critical safety and traffic information, the vulner-ability of VNs to Radio Frequency (RF) jamming has emerged as a significant concern, specially for in...Show More
Deep Graph Learning for DDoS Detection and Multi-Class Classification IDS
Braden J. Saunders;Robson E. de Grande;Glaucio H.S. Carvalho;Isaac Woungang
2024 IEEE International Conference on Cyber Security and Resilience (CSR)
Year: 2024 | Conference Paper |
Critical infrastructure systems have been preyed on by cyber criminals that target to disrupt their operations and national security. Among the most nefarious attacks, the Distributed Denial of Service (DDoS) attack is wreaking havoc on the Telecommunications sector. This paper invests in the vision that Artificial Intelligence (AI) plays an important role in shoring up the cybersecurity of critic...Show More
Ensemble SARSA and LSTM for User-Centric Handover Decisions in 5G Vehicular Networks
5G and vehicular networks have enabled Intelligent Transportation Systems (ITS) with better safety and infotainment services where connected vehicles are critical components for data sharing. However, a stable connection is mandatory to transmit data successfully across the network. The 5G technology enhances bandwidth, stability, and reliability but suffers from low communication ranges, which re...Show More
Ultra-Density Aware Learning-Based Handover Management in High-Mobility 5G Vehicular Networks
ICC 2024 - IEEE International Conference on Communications
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Ensuring connection stability is crucial for both vehicular safety and user experience. With the increasing amount of data sharing among connected vehicles, there is a need for more bandwidth, stability, and reliability. While 5G technology can offer these benefits with its small cellular range and densification, it also presents a challenge in frequent handovers (HOs). This issue can result in un...Show More
A Graph Convolutional Networks-Based DDoS Detection Model
Braden J. Saunders;Patrice Kisanga;Glaucio H.S. Carvalho;Isaac Woungang
2024 IEEE International Systems Conference (SysCon)
Year: 2024 | Conference Paper |
Network attacks have exponentially increased over the last years and, seriously, impacting fundamental aspects of our modern society at all levels, i.e., individual, critical infrastructure, and national security. To counterattack these cyber threats, several approaches for detecting or preventing them have been investigated. Ultimately, these approaches culminated in the design and development of...Show More
Adaptive User-centric Virtual Cell Handover Decision-making in 5G Vehicular Networks
ICC 2023 - IEEE International Conference on Communications
Year: 2023 | Conference Paper |
Cited by: Papers (3)
Connected vehicles enable massive data sharing and support intelligent transportation services. Consequently, a stable connection is compulsory to transmit across the network successfully, where 5G technology introduces more bandwidth, stability, and reliability. However, 5G communication is susceptible to frequent handovers and connection drops. A user-centric perspective helps cope with the smal...Show More
Network Anomaly Detection Using a Graph Neural Network
Patrice Kisanga;Isaac Woungang;Issa Traore;Glaucio H. S. Carvalho
2023 International Conference on Computing, Networking and Communications (ICNC)
Year: 2023 | Conference Paper |
Cited by: Papers (9)
Contrary to the many traditional network security approaches that focus on volume-based threats, the Activity and Event Network (AEN) is a new approach built on a graph model, which addresses both volumetric attacks and long-term threats that traditional security tools cannot deal with. The AEN graph structural foundation can serve as a basis to construct a graph to be used in Graph Neural Network...Show More
Admission and Placement Policies for Latency-Compliant Secure Services in 5G Edge–Cloud System
Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore
This article proposes an optimal admission and placement stochastic controller that inserts security and latency compliance in the operational aspects of edge–cloud system under a fifth generation (5G) deployment. The proposed mechanism uses the framework of semi-Markov decision making process and seeks for an optimal policy that efficiently allocates the virtual resources to secure and run the se...Show More
Incentivized Security-Aware Computation Offloading for Large-Scale Internet of Things Applications
Talal Halabi;Adel Abusitta;Glaucio H.S. Carvalho;Benjamin C. M. Fung
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)
Year: 2022 | Conference Paper |
With billions of devices already connected to the network's edge, the Internet of Things (IoT) is shaping the future of pervasive computing. Nonetheless, IoT applications still cannot escape the need for the computing resources available at the fog layer. This becomes challenging since the fog nodes are not necessarily secure nor reliable, which widens even further the IoT threat surface. Moreover...Show More
Edge-Assisted Secure and Dependable Optimal Policies for the 5G Cloudified Infrastructure
Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore;Periklis Chatzimisios
ICC 2022 - IEEE International Conference on Communications
Year: 2022 | Conference Paper |
Cited by: Papers (2)
This paper proposes an optimal admission and placement stochastic controller that inserts security and depend-ability in the operational aspects of edge-cloud system under a 5G deployment. The proposed mechanism uses the frame-work of Semi-Markov Decision Making Process (SMDP) and seeks for an optimal policy that efficiently allocates the virtual resources to secure and run the services across the...Show More
Cloud Firewall Under Bursty and Correlated Data Traffic: A Theoretical Analysis
Cloud firewalls stand as one of the major building blocks of the cloud security framework protecting the Virtual Private Infrastructure against attacks such as the Distributed Denial of Service (DDoS). In order to fully characterize the cloud firewall operation and gain actionable insights on the design of cloud security, performance models for the cloud firewall become imperative. In this article...Show More
Optimal Security Risk Management Mechanism for the 5G Cloudified Infrastructure
Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore
This work proposes an optimal security risk management mechanism to holistically minimize the risks of a Denial of Service (DoS) attack and Service Level Agreement (SLA) violations that might unfold at the 5G edge-cloud ecosystem. Using the Semi-Markov Decision Process framework, a cyber risk-aware controller is designed to optimally decide on the admission, placement, and migration of a service t...Show More
Optimal Security-Aware Virtual Machine Management for Mobile Edge Computing Over 5G Networks
Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore
A secure execution of offloaded tasks in the 5G-driven mobile edge computing (MEC) deployment is critical for all societal sectors. To realize it, mobile network operators have to intelligently orchestrate virtual resources in multiple cloud layers to satisfy 5G security requirements. In this article, we formulate a secure virtual machine management (VMM) mechanism using the semi-Markov decision p...Show More
Optimal Security Cost for Latency-Aware Service Provisioning in Mobile Edge Computing
Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Issa Traore
2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)
Year: 2020 | Conference Paper |
This paper proposes a security-aware resource allocation mechanism for a multi-cloud orchestration over a 5G network. The proposed mechanism is formulated as a Semi-Markov Decision process (SMDP) model, where a security-driven cost structure is designed to minimize the cost of providing security services. The performance of the proposed mechanism is evaluated considering the probability of rejecti...Show More
5G is a critical infrastructure that will connect the whole society and bridge other critical infrastructure systems. Thus, cybersecurity emerges as crucial tenet within the 5G pathway. In this article, we discuss the concept of agile security within a 5G infrastructure taking into account two of its major technologies: Mobile Edge Computing (MEC) and Network Functions Virtualization (NFV). In thi...Show More
Mobile Cloud Storage Over 5G: A Mechanism Design Approach
Richa Siddavaatam;Isaac Woungang;Glaucio H. S. Carvalho;Alagan Anpalagan
In order to meet the increasing demand for the data storage, 5G wireless networks embodying mobile edge computing (MEC) features arise as a compelling solution. In this paper, the dense heterogeneous network (HetNet) and the MEC infrastructure are exploited to propose a mobile cloud storage framework that minimizes the data transmission delay. The proposed framework is composed of two parts: A dat...Show More
Energy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues
Ali Alnoman;Glaucio H. S. Carvalho;Alagan Anpalagan;Isaac Woungang
Fully cloudified mobile network infrastructure, which is featured by the joint deployment of heterogeneous cloud radio access networks and edge computing, will successfully cope with the data deluge by densely deploying virtualized wireless base stations and servers while providing the system design with high flexibility, reliability, availability, and scalability. On the other hand, the massive r...Show More
A Semi-Markov Decision Model-based brokering mechanism for mobile cloud market
Glaucio H. S. Carvalho;Isaac Woungang;Alagan Anpalagan;Elena Degtiareva;Joel J. P. C. Rodrigues
2017 IEEE International Conference on Communications (ICC)
Year: 2017 | Conference Paper |
Cited by: Papers (2)
As the multitude and complexity of the cloud market increases, the evaluation and selection of cloud services becomes a burdensome task for the users. With the extraordinary rise of available services from various Cloud Service Providers (CSPs), the role of cloud brokers has become more and more important. This paper proposes an optimal cloud broker model to address the challenge of optimally allo...Show More
Intercloud and HetNet for Mobile Cloud Computing in 5G Systems: Design Issues, Challenges, and Optimization
Glaucio H.S. Carvalho;Isaac Woungang;Alagan Anpalagan;Muhammad Jaseemuddin;Ekram Hossain
Emerging 5G systems will feature a closer collaboration between mobile network operators and cloud service providers to meet the communication and computational requirements of modern mobile applications and services in a mobile cloud computing (MCC) environment. In this article, we show how the marriage between heterogeneous wireless networks (HetNets) and multiple clouds (a collection of which i...Show More
Efficient Ubiquitous Big Data Storage Strategy for Mobile Cloud Computing over HetNet
Richa Siddavaatam;Isaac Woungang;Glaucio Carvalho;Alagan Anpalagan
2016 IEEE Global Communications Conference (GLOBECOM)
Year: 2016 | Conference Paper |
Cited by: Papers (4)
With the ever increasing data and computational demands from mobile users, heterogenous wireless networks (HetNets) and mobile cloud computing (MCC) have been advocated as a promising solution to meet these demands. Insufficient bandwidth is one of the most important challenges being faced by a successful implementation of the MCC technology due to heavy data traffic. The MCC implementation on Het...Show More
A Centrality-Based History Prediction Routing Protocol for Opportunistic Networks
Amarpreet Bamrah;Isaac Woungang;Leonard Barolli;Sanjay Kumar Dhurandher;Glaucio H. S. Carvalho;Makoto Takizawa
2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS)
Year: 2016 | Conference Paper |
Cited by: Papers (2)
In Opportunistic networks (OppNets), due to high mobility, short radio range, intermittent links, unstable topology, sparse connectivity, to name a few, routing is a very challenging task since it relies on cooperation between the nodes. This paper focuses on using the concept of centrality to alleviate this task. Unlike other nodes in the network, central nodes are those that are more likely to a...Show More
An Energy-Efficient Routing Protocol for Infrastructure-Less Opportunistic Networks
Khuram Khalid;Isaac Woungang;Sanjay K. Dhurandher;Leonard Barolli;Glaucio H. S. Carvalho;Makoto Takizawa
2016 10th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)
Year: 2016 | Conference Paper |
Cited by: Papers (10)
In this paper, an energy-aware version of a recently proposed History-Based Prediction for Routing (HBPR) protocol for opportunistic networks (OppNets) called energy-efficient HBPR (AEHBPR) is proposed, which saves the energy consumption by avoiding unnecessary packets transmission in the network and by clearing the buffer of nodes carrying the copies of the already delivered packets. The proposed...Show More
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