Rootkits are stealthy, malicious software that allow an attacker to gain and maintain control of a system, attack other systems, destroy evidence, and decrease the chance of detection. Existing detection methods typically rely on a priori knowledge...
Pattern recognition systems; Cluster analysis; Data mining
Despite the large number of existing clustering methods, clustering remains a challenging task especially when the structure of the data does not correspond to easily separable categories, and when clusters vary in size, density and shape. Existing...
Supervisory control systems--Security measures; Automatic data collection systems--Security measures
This thesis describes the development of a prototype security hardened field device (such as a remote terminal unit) based on commodity hardware and implementing a previously developed security architecture. This security architecture has not been...
Supervisory control systems--Security measures; Computer security; Security systems
This thesis documents the successful development and testing of a more secure industrial control system field device architecture and software. The implementation of a secure field device has had limitations in the past due to a lack of secure...
Remote terminal units (RTUs) are perimeter supervisory control and data acquisition (SCADA) devices that measure and control actual physical devices. Cyber security was largely ignored in SCADA for many years, and the cyber security issues that now...
The topic of this dissertation is the automation of the process of extracting understandable patterns and rules from data. An unprecedented amount of data is available to anyone with a computer connected to the Internet. The disciplines of Data...
Data mining; Lungs--Cancer; Outcome assessment (Medical care)
Lung cancer is the leading cause of cancer death in the United States and the world, with more than 1.3 million deaths worldwide per year. However, because of a lack of effective tools to diagnose Lung Cancer, more than half of all cases are...
The purpose of this dissertation is to find ways to decrease Medicare costs and to study health outcomes of diabetes patients as well as to investigate the influence of Medicare, part D since its introduction in 2006 using the CMS CCW (Chronic...
The revolution in information technology and the explosion in the use of computing devices in people's everyday activities has forever changed the perspective of the data mining and machine learning fields. The enormous amounts of easily...
Data encryption (Computer science); Computer networks--Security measures
This thesis describes a method of gaining better
performance from the Blowfish cryptographic algorithm using
GPU acceleration via CUDA (Compute Unified Device
Architecture). It is an attempt to resolve the issue of
the cryptographic process taking...
Representing the complex data in a concise and accurate way is a special stage in data mining methodology. Redundant and noisy data affects generalization power of any classification algorithm, undermines the results of any clustering algorithm and...
Nonparametric statistics; Estimation theory; Distribution (Probability theory)
Multistate models are a type of multi-variate survival data which provide a framework for describing a complex system where individuals transition through a series of distinct states. This research focuses on nonparametric inference for general...
Traffic sign (TS) detection and tracking is one of the main tasks of an autonomous vehicle which is addressed in the field of computer vision. An autonomous vehicle must have vision based recognition of the road to follow the rules like every other...
A common research interest in medical, biological, and engineering research is determining whether certain independent variables are correlated with the survival or failure times. Standard statistical techniques cannot usually be applied for...
Medical records--Data processing; Data mining; Medical care--Data processing; Coronary heart disease--Treatment
The goal of this study is to use a data mining framework to assess the three main treatments for acute myocardial infarction: thrombolytic therapy, percutaneous coronary intervention (percutaneous angioplasty), and coronary artery bypass surgery....
A hyper basis function network (HyperBF) is a generalized radial basis function network (RBF) where the activation function is a radial function of a weighted distance. The local weighting of the distance accounts for the variation in local scaling...
Digital control systems; Computer security; Process control--Computer programs; Supervisory control systems--Security measures
Supervisory control and data acquisition (SCADA) systems are networked control systems used in many critical infrastructure areas such as power water and transportation. Many of these systems continue to use legacy field devices that lack cyber...
Heart--Diseases--Patients--Rehabilitation; Data mining
The purpose of this paper is to examine the process of text mining and using the results to show the possible benefits of cardiopulmonary rehabilitation. The 555 patients enrolled in the study were receiving inpatient cardiopulmonary...
The purpose of this research study is to examine the use of time series forecasting and text mining to investigate the prescription of antibiotics. The specific objective is to examine the relationship between the total payments, private insurance...
