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 75 for “"Real time detection"”.
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Real-Time Detection of Storage Covert Channels
… channels can be used by attackers to evade detection and to exfiltrate sensitive data. In so doing, they create a need for effective detection techniques for the use of covert channels. In this thesis, we present the conception, design and implementation of a system for detecting covert …
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Disruption mitigation and real-time detection of locked modes
… standard deviation of the signal over a moving time-window. This procedure has been programmed into the digital plasma control system (DPCS) for real-time testing. The procedure successfully located the locked modes present during a run.
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Real time detection of malicious webpages using machine learning techniques
… The problem with this approach is that the detection rate is slow, because of the need to handle large number of webpages. There is a gap in knowledge to research into which machine learning algorithms are capable of detecting harmful web applications in real time on a local machine. The …
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Real-time detection of malicious network activity using stochastic models
… for identifying malicious network activity in real-time. Using the models, the dissertation shows that a detection problem can be formulated as one of observing a particular "trajectory" of arriving packets and inferring from it the most likely classification for the given host's behavior. This …
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Real-Time Detection of Demand Manipulation Attacks on a Power Grid
… botnet of high-wattage IoT devices. Based on the time and situation of the attack, an adversary needs access to a fixed number of IoT devices to synchronously switch on/off all of them, resulting in an imbalance between the supply and demand. When the frequency of the power generators drops below …
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Real-time detection of auditory : steady-state brainstem potentials evoked by auditory stimuli
… lengthy test duration, and improve the signal detection rate and the robustness of the detection against the background noise and unwanted artefacts.Two prominent state estimation techniques of Luenberger observer and Kalman filter have been used in the development of the autonomous ASSR …
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Real-time detection of geometric interference : application to full-body 5-axis haptics
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999.
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Real-Time Detection of GPS Spoofing Attack with Hankel Matrix and Unwrapped Phase Angle Data
… actions. State-estimation based attack detection method works similar way for both types of attacks. It implies that using state-estimation based detection alone doesn’t give the control center enough information about the attack type. This scenario is specifically more critical for …
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Spectroscopic Technologies and Computational Approaches for Real-Time Detection of FMN as Biomarker during Machine Perfusion
… focuses on the use of technologies for the real-time detection of Flavin Mononucleotide (FMN), considered a biomarker of ischemia-reperfusion injury, during organ perfusion. The methodologies employed are based on spectrophotometric measurements, UV-visible absorption, and fluorescence, …
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The Development of an Aptamer-based Surface Plasmon Resonance (SPR) Sensor for the Real-time Detection of Glycated Protein
The direct detection of blood proteins can benefit a number of scientific and clinical applications, one of which is glycated protein monitoring for diabetes diagnosis and treatment. The formation of glycated proteins is proportional to the average glucose concentration over a certain past time …
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Design and Development of a Hydrophone Array for an Autonomous Underwater Vehicle Capable of Real-Time Detection and Tracking of Surface Vessels
… been shown useful for underwater acoustic source detection and tracking. The work presented here demonstrates use of a passive acoustic system for an Autonomous Underwater Vehicle (AUV) composed of a 2D hydrophone array along with a post processing algorithm for real time detection and tracking of …
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Data-driven Algorithms for Critical Detection Problems: From Healthcare to Cybersecurity Defenses
… approaches have been widely applied to critical detection problems, but their performance is often hindered by data-related challenges. This dissertation seeks to address three key challenges: data imbalance, scarcity of high-quality labels, and excessive data processing requirements, through …
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Protecting vehicles from cyberattacks: context aware AI-based intrusion detection for vehicle CAN bus security.
… the controller area network (CAN) bus for real-time data exchange. However, the CAN bus lacks security measures, rendering it susceptible to cyberattacks, endangering passenger safety. Although artificial intelligence (AI)-based intrusion detection systems (IDSs) can detect these attacks, …
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Oxidative stress markers in neurological diseases and disorders: electrochemical detection of hydrogen peroxide and nitric oxide
… is to further demonstrate the electrochemical detection of nitric oxide (NO) and hydrogen peroxide (H2O2) in-vitro, to advance the previously demonstrated detection of brain NO and to demonstrate the novel in-vivo detection of H2O2 using a paired catalase-based biosensor. We have recently …
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FPGA IMPLEMENTATION OF A REALTIME CYCLOSTATIONARY FEATURE DETECTOR FOR OFDM SIGNALS
… has public safety implications, and moreover, time-critical requirements due to the vehicular nature of its application. The field of cognitive radio has identified several sensing techniques for the identification of licensed operators in a given band. This thesis explores cyclostationary …
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Affective Visualization in Virtual Reality Systems
… their electrophysiological responses in real-time. However, it is unclear how to use the information extracted from electrophysiological signals to adjust the stimuli inside a virtual environment according to the user’s affective state. Therefore, this research project’s main objective is …
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Automated detection and prediction of electrical disturbances in a power transmission system
… accuracy of over 91%. This work will result in time savings for engineers as well as increased reliability of the transmission system by providing near real-time detection, identification, and prevention of disturbances.
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