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.
Results
Showing 1 to 20 of 43 for “"000 Computer science, information & general works"”.
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Behaviour based anomaly detection system for smartphones using machine learning algorithm
… various system metrics and contextual information from smartphones. Descriptive statistical analysis was performed on our dataset to identify patterns of dissimilarity in smartphone usage of the participants of our experiment. Following this analysis, a Machine Learning algorithm was …
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Hyper-connectivity : intricacies of national and international cyber securities
… which the papers are published. The associated works are published in referred journals, peer reviewed book chapters, and conference proceedings. Research can be found in the following outlets: 1. Security Solutions for Hyperconnectivity and the Internet of Things; 2. Developing Next-Generation …
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Real time detection of malicious webpages using machine learning techniques
… to visit intranet webpages that require computer operators to login as authenticated users. The thesis proposes to use various machine learning algorithms, both supervised and unsupervised to categorise webpages based on parsing their features such as content (which played the most …
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Resilience of an embedded architecture using hardware redundancy
In the last decade the dominance of the general computing systems market has being replaced by embedded systems with billions of units manufactured every year. Embedded systems appear in contexts where continuous operation is of utmost importance and failure can be profound. Nowadays, radiation …
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How to share cyber intelligence automatically in real-time by using system architecture process
… Collective Intelligence Framework (CIF), Malware Information Sharing Platform (MISP), Webroot Intelligence Network (WIN), Darknet and Deepnet Cyber Security Threat Intelligence, and the Proactive Threat Analysis of Cyber Threat Intelligence. The problem discovered was that even though these models …
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Selective prioritisation of real-time IP packets to improve quality of service in 5G wireless sensor networks
… deployment of 5G and future-generation networks depends critically on the provision of Ultra-Reliable Low-Latency Communication (URLLC), which is vital to meeting the stringent requirements of emerging real-time applications. However, the static, rule-based scheduling algorithms …
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Towards an optimised and adaptive automation of post-incident malware investigation: a novel reinforcement learning framework
… investigations. Existing malware detection frameworks, predominantly reliant on heuristic and signature-based techniques, exhibit significant limitations in identifying polymorphic and evasive malware. Machine learning approaches, while promising, often struggle with adversarial attacks, false …
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Framework for analysis of the logical vulnerability of authentication procedures
While AI has made strides in knowledge and action modelling, challenges remain in addressing security concerns like logical vulnerabilities in authentication policies. These vulnerabilities arise from flawed or missing authentication mechanisms, making operations unintentionally accessible. Our …
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Bio-inspired lightweight polymorphic security system for IoT devices
Polymorphism, defined as the ability to dynamically alter form, has long been exploited by viruses and malware to evade traditional security mechanisms. This thesis proposes a novel application of polymorphic principles, inspired by biological immune systems, to engineer a lightweight, adaptive, …
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Development of new data partitioning and allocation algorithms for query optimization of distributed data warehouse systems
… an increasingly important technology for information integration and data analysis. Data Warehouse (DW) systems are used by decision makers for performance measurement and decision support. However, although data warehousing and on-line analytical processing (OLAP) are essential elements …
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Towards understanding and improving the process of small group collaborative learning in software engineering education
The research aim of this submission for PhD by Prior Output is to understand and improve the process of small group collaborative learning in software engineering education. The research portfolio supporting the submission specifically deals with a number of background studies (the establishment of …
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An assessment of existing component-based software development methodologies and a holistic approach to CBSD
Software applications nowadays are getting ever larger and more complex. At the same time, users and sponsors of software applications have increasingly higher expectations: lower development cost, faster delivery time and higher quality of the products. This creates new challenges that the …
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An ontological framework for assisting people with disabilities in organisations
The aim of this thesis was to construct an ontological framework - the OntoCarer Ontological Framework, that is used in a software application to create an assistive social network for organisations and agents, which identifies the need for assistance for those with disabilities intending but …
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Novel approaches to applied cybersecurity in privacy, encryption, security systems, web credentials, and education
… a research institute from Brazilian Ministry of Science, Technology and Innovations, author developed novel approaches to help solve practical and practice-based problems in applied cybersecurity over the last ten years. The needs of the government, industry, customers, and real-life problems in …
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Research and development of a reference model for intrusion handling systems in wireless LANs
Wireless Local Area Networks (WLANs) are different from the traditional wired LANs in terms of their easy exposure to potential threats and vulnerability to exploitation. Hence, there is an urgent need for effective Intrusion Handling Systems (IHSs) and the methods for their evaluation. Analyses of …
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Adaptive function modal learning neural networks
… ADFUNN is highly effective at assimilating and generalising on many linearly inseparable problems, such as the Iris dataset, and a natural language phrase recognition task. A multi-layer approach, a Multi-layer ADFUNN (MADFUNN) is introduced to solve highly complex datasets. It aims to find a …
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An adaptive modelling infrastructure for context-aware mobile computing
Context provides information about the present status of people, places, things, network and devices in the environment. Context-awareness refers to the use of context information for an application to adapt its functionality to the current context of use. Development of context-aware applications …
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Noisy language modeling framework using neural network techniques
The text entry interaction between human and computer could be noisy. For example, the typing stream is a reflection of user typing behaviours which include user particular vocabulary, typing habits and typing performance. As computer users inevitably make errors, a typing stream generated from …
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SQL injection detection and exploitation framework for penetration testing
SQL injection is one of the complex and threatening attack used against SQL database servers and web applications. Attackers use SQL injection to get unauthorized access and perform unauthorized data modification. To mitigate the devastating problem of SQL injection attack, there are many existing …
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Mapping relational databases to semantic web using domain-specific knowledge
Semantic Web is a framework which allows information to be represented not only syntactically using suitable structural definitions ("data schema"), specific instances of them ("data") and their use ("access rights"), but also semantically using a logical model which allows formal interpretation …
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