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 20 for “"security monitoring"”.
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Game theory with learning for cyber security monitoring
… Target, Home Depot) are very sophisticated security attacks on critical cyber infrastructures. Such attacks are referred to as advanced persistent threat (APT), and are on constant rise with severe implications. In all these attacks, the presence of an attacker itself is difficult to detect …
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Dynamic reliability and security monitoring: a virtual machine approach
… awareness is key to taking appropriate action. Monitoring plays an integral role in ensuring reliability and security of computing systems. Infrastructure as a Service (IaaS) clouds significantly lower the barrier for obtaining scalable computing resources and allow users to focus on what is …
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Network Security Monitoring and Analysis based on Big Data Technologies
… the network state and to be aware of the network security threats. However, processing the large amount of data collected from the network and providing real time information remain as big challenges. Big data technologies provide new approaches to collect, store, measure, and analyze the large …
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State Estimation and Voltage Security Monitoring Using Synchronized Phasor Measurements
… algorithm. A technique for true real time monitoring of voltage security using synchronized phasor measurements and decision trees is presented as a promising system application. The relationship of widening bus voltage angle separation with network stress is exploited and its connection to …
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Improving reliability and security monitoring in enterprise and cloud systems by leveraging information redundancy
… all areas of modern life, the need to ensure the security and reliability of the underlying information technology infrastructures is greater than ever before. Large-scale enterprise and cloud systems, which form the backbone for the majority of computing activity, consist of many components and …
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Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. [Thesis]
… for attackers. These devices require suitable security mechanisms that enable robust and effective detection of attacks. Machine learning (ML) and its subdivision Deep Learning (DL) methods offer a promise, but they can be computationally expensive in providing better detection for …
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Limiting information exposure in multi-domain monitoring systems
Security monitoring systems have been recognized as a fundamental component of security management, and they provide the fundamental building blocks of future reactive and autonomic systems that can automatically respond and adapt to changes in their environment. However, operating security …
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Integrating security into real-time cyber-physical systems
… vulnerable to cyber attacks. Enhancing security for real-time CPS, however, is not an easy task due to limited resource availability (e.g., processing power, memory, storage, energy) and stringent timing/safety requirements. Security monitoring techniques for cyber-physical platforms (a) …
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Capacitive sensing with a fluorescent lamp
… include proximity detection, motion sensing, security monitoring, activity level monitoring for power management and control and metal or dangerous substance detection.
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Hypervisor introspection: a technique for evading passive virtual machine monitoring
Virtualization technology has enabled powerful security monitoring techniques, such as virtual machine introspection (VMI). These monitoring techniques, however, rely on the assumed isolation of virtualized environments from the hypervisor. We show that there are still some events that can be …
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Neural geolocation prediction in Twitter
… that leverage social media, such as marketing, security monitoring and recommendation systems. Motivated by the recent success of Deep Learning techniques for many tasks such as computer vision, speech recognition, and natural language processing, we study the application of neural models to the …
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Characteristic Classification of Walkers via Underfloor Accelerometer Gait Measurements through Machine Learning
… in a building has far-reaching applications in security, monitoring human health, and managing energy resources effectively. In this work, gender and weight of walkers are classified via machine learning or pattern recognition techniques. Accelerometers mounted beneath the floor of Virginia …
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Unmasking Deepfakes, Adversarial Attacks, and Mobile Users in The Deep Learning Era
… mobile sensor data for activity, health, or security monitoring may inadvertently enable the identification of individuals or devices. This thesis tackles these issues by (1) presenting innovative methods to mitigate performance losses in deepfake detectors under compression, (2) providing an …
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Visual Correlation of Network Traffic and Host Processes for Computer Security
… that ties the two together. My research enables security personnel to visually correlate packets to the processes they belong to helping users determine whether communications are benign or malicious. I present my discoveries about the system administrator community and relate how I created a new …
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Construction and Testing of a Portable Time Projection Chamber for Fast Neutron Detection
… is an increasingly important component of global security. Closely connected to this monitoring is the need for improved radiation detectors. Gamma ray detectors experienced a boom in development over the last half century, but neutron detectors have met a higher level of resistance. When …
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Object Tracking: Appearance Modeling And Feature Learning
… in various applications such as surveillance, security, monitoring and robotic vision. Object tracking is the process of locating objects of interest in every frame of video frames. Many systems have been proposed to address the tracking problem where the major challenges come from handling …
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ATTACK AND DEFENSE IN SECURITY ANALYTICS
<p>The security problem has gained increasing awareness due to the various kinds of global threats. Security analytics is the process of using streaming data acquisition, collection, and artificial intelligence algorithms for security monitoring and threat disclosure. In this dissertation work, we …
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State and parameter estimation of power systems using phasor measurement units as bilinear system model
… related to data acquisition and processing, security monitoring and control and energy/economy decisions have to be advanced to next level. Including of Phasor Measurement Units (PMUs) along with current SCADA (Supervisory Control and Data Acquisition) system is an essential step towards …
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Information-fusion-based methods to improve the detection of advanced cyber threats
… in every aspect of modern life has made the security of networked systems more crucial. Their growing size and complexity have provided adversaries with a larger attack surface leading to numerous breaches in recent years that have undermined the confidentiality and availability of such …
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A quantitative methodology for evaluating and deploying security monitors
… information about possible attacks. Since monitoring can be expensive, however, monitors must be selectively deployed to maximize their overall utility. We identify a need for a methodology for evaluating monitor deployment to determine a placement of monitors that meets both security goals …