Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 380 for “"QA75 Electronic computers. Computer science"”.
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Developing an SDWN Architecture for Wireless Network Engineering to Support a Quality of Experience Aware Handover
The massive growth of data consumption and the variety of wireless technology emergence has made the handover (HO) an attractive research topic nowadays, mainly due to the popularity of Wireless Local Area Networks (WLANs), which allow users to reach high-speed data communication while they are in …
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AN ENHANCEMENT ON TARGETED PHISHING ATTACKS IN THE STATE OF QATAR
The latest report by Kaspersky on Spam and Phishing, listed Qatar as one of the top 10 countries by percentage of email phishing and targeted phishing attacks. Since the Qatari economy has grown exponentially and become increasingly global in nature, email phishing and targeted phishing attacks …
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BUILDING TRUST IN CLOUD COMPUTING -ISOLATION IN CONTAINER BASED VIRTUALISATION
Container-based virtualisation has weak isolation compare with traditional VMs. Container-based virtualisation is based on kernel OS. Share kernel OS could increase the possibility of attacks. Therefore, the container-based virtualisation provides weak isolation. The lack of isolation from the host …
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DETECTING DISTRIBUTED DENIAL OF SERVICE ATTACKS IN IPV6 BY USING ARTIFICIAL INTELLIGENCE TECHNIQUES
… vulnerabilities is openness of a network of computer, wherein there exists a lack of trust among users. Typically, huge numbers of NDP messages can be used to flood a network, resulting in disconnecting of the connected devices. Due to the limitations of existing defence mechanisms, NDP are …
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SAERMA: Stacked Autoencoders Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS of Extreme Obesity
One of the most important challenges in the analysis of high-throughput genetic data is the development of efficient computational and statistical methods to identify statistically significant single nucleotide polymorphisms (SNPs). Genome-wide association studies (GWAS), are the state-of-the-art …
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Identification of Data Structure with Machine Learning: From Fisher to Bayesian networks
This thesis proposes a theoretical framework to thoroughly analyse the structure of a dataset in terms of a) metric, b) density and c) feature associations. To look into the first aspect, Fisher's metric learning algorithms are the foundations of a novel manifold based on the information and …
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The application of Machine Learning for Early Detection of At -Risk Learners in Massive Open Online Courses
With the rapid improvement of digital technology, Massive Open Online Courses (MOOCs) have emerged as powerful open educational learning platforms. MOOCs have been experiencing increased use and popularity in highly ranked universities in recent years. The opportunity to access high-quality …
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An Intelligent Citizen-Centric Oriented Model for Egovernance: A Uae Case Study
… governments to deploy services to citizens using electronic channels. Worldwide, governments have recognized the need to deliver better-integrated services to the public to meet their expectations. Therefore, the transition from the conventional modes of delivering government services to an …
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EFFICIENT RUNTIME SECURITY SYSTEM FOR DECENTRALISED DISTRIBUTED SYSTEMS
Distributed systems can be defined as systems that are scattered over geographical distances and provide different activities through communication, processing, data transfer and so on. Thus, increasing the cooperation, efficiency, and reliability to deal with users and data resources jointly. For …
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Critical Infrastructure Automated Immuno-Response System (CIAIRS)
Critical Infrastructures play a central role in the world around us and are the backbone of everyday life. Their service provision has become more widespread, to the point where it is now practically ubiquitous in many societies. Critical Infrastructure assets contribute to the economy and society …
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THE DEVELOPMENT OF A MODULAR FRAMEWORK FOR SERIOUS GAMES AND THE INTERNET OF THINGS
… Serious Games and the Internet of Things and a computer algorithm that provides a measure of student engagement, integrated into a Smart Serious Game developed as part of the undertaken research named Student Engagement Application (SEA). This thesis utilises a semester-long experiment and the …
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INVESTIGATION INTO GAME-BASED CRISIS SCENARIO MODELLING AND SIMULATION SYSTEM
A crisis is an infrequent and unpredictable event. Training and preparation process requires tools for representation of crisis context. Particularly, crisis events consist of different situations, which can occur at the same time combining into complex situation and becoming a challenge in …
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Evaluation of Trust in the Internet Of Things: Models, Mechanisms And Applications
In the blooming era of the Internet of Things (IoT), trust has become a vital factor for provisioning reliable smart services without human intervention by reducing risk in autonomous decision making. However, the merging of physical objects, cyber components and humans in the IoT infrastructure …
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Trust Evaluation in the IoT Environment
… can be understood by the artificial agents. In computer science, trust is considered as a computational value depicted by a relationship between trustor and trustee, described in a specific context, measured by trust metrics, and evaluated by a mechanism. Several mechanisms about trust …
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Machine Learning Approaches and Web-Based System to the Application of Disease Modifying Therapy for Sickle Cell
Sickle cell disease (SCD) is a common serious genetic disease, which has a severe impact due to red blood cell (RBCs) abnormality. According to the World Health Organisation, 7 million newborn babies each year suffer either from the congenital anomaly or from an inherited disease, primarily from …
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A Multi-Agent Approach to Advanced Persistent Threat Detection in Networked Systems
Advanced cyber threats that are well planned, funded and stealthy are an increasing issue facing secure networked systems. As our reliance on protected networked systems continues to grow, the motivation for developing new malicious techniques that cannot be easily detected by traditional …
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Developing an Advanced IPv6 Evasion Attack Detection Framework
Internet Protocol Version 6 (IPv6) is the most recent generation of Internet protocol. The transition from the current Internet Version 4 (IPv4) to IPv6 raised new issues and the most crucial issue is security vulnerabilities. Most vulnerabilities are common between IPv4 and IPv6, e.g. Evasion …
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Mobile Network and Cloud Based Privacy-Preserving Data Aggregation and Processing
The emerging technology of mobile devices and cloud computing has brought a new and efficient way for data to be collected, processed and stored by mobile users. With improved specifications of mobile devices and various mobile applications provided by cloud servers, mobile users can enjoy …
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Collaborative Intrusion Detection in Federated Cloud Environments using Dempster-Shafer Theory of Evidence
Moving services to the Cloud environment is a trend that has been increasing in recent years, with a constant increase in sophistication and complexity of such services. Today, even critical infrastructure operators are considering moving their services and data to the Cloud. As Cloud computing …
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An Energy-Efficient Multi-Cloud Service Broker for Green Cloud Computing Environment
The heavy demands on cloud computing resources have led to a substantial growth in energy consumption of the data transferred between cloud computing parties (i.e., providers, datacentres, users, and services) and in datacentre’s services due to the increasing loads on these services. From one …
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