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Articles 1 - 5 of 5
Full-Text Articles in Engineering
Ssl Everywhere: Leveraging Hsms For Enhanced Intra-Domain Security, Yazan Aref
Ssl Everywhere: Leveraging Hsms For Enhanced Intra-Domain Security, Yazan Aref
Electronic Thesis and Dissertation Repository
In a world where digitalization is rapidly advancing, the security and privacy of intra-domain communication within organizations are of critical concern. The imperative to secure communication channels among physical systems has led to the deployment of various security approaches aimed at fortifying networking protocols. However, these approaches have typically been designed to secure protocols individually, lacking a holistic perspective on the broader challenge of intra-domain communication security. This omission raises fundamental concerns about the safety and integrity of intra-domain environments, where all communication occurs within a single domain. As a result, this thesis introduces SSL Everywhere, a comprehensive solution designed …
Intelligent Automation Solutions For Network Management And Security In 5g Networks: A Study On Automl And Digital Twins, Mirna El Rajab
Intelligent Automation Solutions For Network Management And Security In 5g Networks: A Study On Automl And Digital Twins, Mirna El Rajab
Electronic Thesis and Dissertation Repository
This thesis explores intelligent automation solutions, particularly Automated Machine Learning (AutoML) and Digital Twins (DTs), to enhance network management and security in Fifth-Generation (5G) networks. The first topic surveys Zero-touch network and Service Management (ZSM) systems, implementing an online AutoML pipeline to predict application throughput in Fourth Generation (4G) and 5G networks. Simulation results demonstrate the superiority of AutoML over traditional ML approaches, enabling ZSM to adapt to changing traffic patterns and, consequently, improving service quality and operational efficiency. The second topic implements an AutoML pipeline for multi-class network attack classification, incorporating real-time model updates using synthetic data within the …
Toward Building An Intelligent And Secure Network: An Internet Traffic Forecasting Perspective, Sajal Saha
Toward Building An Intelligent And Secure Network: An Internet Traffic Forecasting Perspective, Sajal Saha
Electronic Thesis and Dissertation Repository
Internet traffic forecast is a crucial component for the proactive management of self-organizing networks (SON) to ensure better Quality of Service (QoS) and Quality of Experience (QoE). Given the volatile and random nature of traffic data, this forecasting influences strategic development and investment decisions in the Internet Service Provider (ISP) industry. Modern machine learning algorithms have shown potential in dealing with complex Internet traffic prediction tasks, yet challenges persist. This thesis systematically explores these issues over five empirical studies conducted in the past three years, focusing on four key research questions: How do outlier data samples impact prediction accuracy for …
Classification Of Ddos Attack With Machine Learning Architectures And Exploratory Analysis, Amreen Anbar
Classification Of Ddos Attack With Machine Learning Architectures And Exploratory Analysis, Amreen Anbar
Electronic Thesis and Dissertation Repository
The ever-increasing frequency of occurrence and sophistication of DDoS attacks pose a serious threat to network security. Accurate classification of DDoS attacks with efficiency is crucial in order to develop effective defense mechanisms. In this thesis, we propose a novel approach for DDoS classification using the CatBoost algorithm, on CICDDoS2019, a benchmark dataset containing 12 variations of DDoS attacks and legitimate traffic using real-world traffic traces. With a developed ensemble feature selection method and feature engineering, our model proves to be a good fit for DDoS attack type prediction. Our experimental results demonstrate that our proposed approach achieves high classification …
Transforming Large-Scale Virtualized Networks: Advancements In Latency Reduction, Availability Enhancement, And Security Fortification, Ibrahim Tamim
Transforming Large-Scale Virtualized Networks: Advancements In Latency Reduction, Availability Enhancement, And Security Fortification, Ibrahim Tamim
Electronic Thesis and Dissertation Repository
In today’s digital age, the increasing demand for networks, driven by the proliferation of connected devices, data-intensive applications, and transformative technologies, necessitates robust and efficient network infrastructure. This thesis addresses the challenges posed by virtualization in 5G networking and focuses on enhancing next-generation Radio Access Networks (RANs), particularly Open-RAN (O-RAN). The objective is to transform virtualized networks into highly reliable, secure, and latency-aware systems. To achieve this, the thesis proposes novel strategies for virtual function placement, traffic steering, and virtual function security within O-RAN. These solutions utilize optimization techniques such as binary integer programming, mixed integer binary programming, column generation, …