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 276 for “"Detection systems"”.
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On Joint Prediction-Detection Systems
Made available in DSpace on 2014-12-10T19:07:08Z (GMT). No. of bitstreams: 1 7317277.pdf: 2777185 bytes, checksum: 2775cf36ad91b3772510e0c6eefab60d (MD5) Previous issue date: 1972
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The Effectiveness of Intrusion Detection Systems
… hypothesis: "The effectiveness of intrusion detection systems can be improved by rethinking the way the IDS is managed and by adopting effective and systematic implementation approaches."<br/><br/>This submission introduces the work done to show the validity of this hypothesis. It …
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A Framework for Hybrid Intrusion Detection Systems
… accepted solution is the use of an Intrusion Detection System (IDS). Such systems currently rely on either signatures of the attack used for the data breach or changes in the behavior patterns of the system to identify an intruder. These systems, either signature-based or anomaly-based, are …
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Smoke Aerosol Characterization for Spacecraft Fire Detection Systems
<p>Appropriate design of fire detection systems requires knowledge of both the expected fire signature and the background aerosol levels. Terrestrial fire detection systems have been developed based on extensive study of terrestrial fires. Unfortunately there is no corresponding data set for …
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Classification, testing and optimization of intrusion detection systems
… Since the introduction of intrusion detection decades ago, intrusion detection technologies have continued to evolve rapidly. This rapid change has led to the introduction of a wealth of security devices, technologies and algorithms that perform functions originally associated with …
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Evaluating Intrusion Detection Systems for Energy Diversion Attacks
… tools for predictive maintenance and anomaly detection systems in electricity industry. On the other hand, private profit-maximizing firms (distribution utilities) need accurate assessment of the value of these tools to justify investment in collection and processing of significant amount of …
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A Comparison of Static to Biologically Modeled Intrusion Detection Systems
… unwieldy. A biologically modeled intrusion detection system based on the behavior of a population of ants has many advantages over traditional security measures. Each ant in the virtual colony has the ability to detect one specific metric of the current state of a computer. In combination, …
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IMPROVING PERFORMANCE OF INTRUSION DETECTION SYSTEMS FOR SOFTWARE-DEFINED NETWORKS
… and dynamic cyberattacks. Traditional Intrusion Detection Systems (IDSs), often designed for static and monolithic network architectures, struggle to adapt to the dynamic nature and unique requirements of SDNs. This dissertation presents a comprehensive study on enhancing IDS performance in SDNs …
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Reliability of electromyography detection systems for the pelvic floor muscles
… of three different electromyography (EMG) detection systems commonly used to acquire EMG data from the pelvic floor muscles (PFM) at rest, during maximum voluntary contractions (MVCs) and during a coughing task. Twelve nulliparous women between the ages of 24 and 40 participated in the …
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Intrusion Detection Systems using Machine Learning and Deep Learning techniques
… further interlace technologies and heterogeneous systems. The ever-evolving technological landscape of interconnected devices constantly expands the network attack surface, which has contributed to the number and complexity of cyber attacks in recent years. The analysis of network traffic through …
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Deployment considerations for intrusion detection systems in advanced metering infrastructure
… the requirements for a comprehensive intrusion detection solution. The threat analysis leads to an extensive set of failure scenarios that captures the attackers' key objectives and is used to extract the information required to effectively detect attacks. Using the information taken from the …
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Development of label-free detection systems targeting food-borne pathogens
… is a large body of research on the subject of detection of food-borne pathogens, however, the widely accepted current systems are limited by high reagent costs, lengthy time to completion, and expensive equipment. This work has been developed with the goal of focusing on minimizing the time and …
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Smartphone-based point-of-care detection systems for infectious diseases
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01
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Enhancing PEPT: high fidelity analysis techniques with augmented detection systems
… technique used in the study of dynamic systems, such as particulate and fluid flows. Relying on positron imaging principles, typical PEPT systems operate with millimetre precision at tracking speeds of up to 10 m/s, with applications in fields from engineering to medicine. Performance is …
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Enhancing PEPT: high fidelity analysis techniques with augmented detection systems
… technique used in the study of dynamic systems, such as particulate and fluid flows. Relying on positron imaging principles, typical PEPT systems operate with millimetre precision at tracking speeds of up to 10 m/s, with applications in fields from engineering to medicine. Performance is …
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Windows NT attacks for the evaluation of intrusion detection systems
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Environmental and Statistical Performance Mapping Model for Underwater Acoustic Detection Systems
… models, acoustic signal predictions, statistical detection models and operations research to form a framework for calculating and communicating performance. This methodology has been applied to undersea target detection systems and has come to be known as Performance Surface modeling. The term …
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Explainable AI Methods For Enhancing AI-Based Network Intrusion Detection Systems
… intelligence (AI) techniques for intrusion detection systems (IDS). However, the reliance on AI for IDS presents challenges, including the performance variability of different AI models and the lack of explainability of their decisions, hindering the comprehension of outputs by human …
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Generating datasets for anomaly-based intrusion detection systems in IoT networks
… and development of novel Anomaly-based Intrusion Detection Systems (AIDSs), tailored to the resource-constrained characteristics of IoT networks, because of their ability to detect not only known but also new, zero-day attacks, in IoT networks. However, although the concept of IoT AIDSs is …
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Hyperspectral Image Acquisition and Calibration with Application to Skin Detection Systems
… In our e orts to build a hyperspectral skin detection system, several new problems were identified that had not previously been adequately addressed, suggesting that routine use of spectral imaging techniques in terrestrial (earth-based) applications is non-trivial. Previously inconsequential …
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