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Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
The task of protecting software integrity can be approached with a two-part strategy that addresses threats to the static integrity of memory contents and the dynamic integrity of software memory interactions. Although their resultant...
Near point problems are widely used in computational geometry as well as a variety of other scientific fields. This work examines four common near point problems and presents original algorithms that solve them. Planar nearest neighbor...
The amount of data stored on smart phones and other mobile devices has increased phenomenally over the last decade. As a result there has been a spike in the use of these devices for documenting different scenarios that are encountered...
Similarity join has been widely studied and used in various scientific and commercial applications. Given two datasets, similarity join finds all pairs of similar objects (one from each input dataset), subject to a distance metric and a...
Passwords are critical for security in many different domains such as social networks, emails, encryption of sensitive data and online banking. Human memorable passwords are thus a key element in the security of such systems. It is...
Our view is that while some of the basic principles of data analysis are going to remain unchanged, others are to be gradually replaced with Geometry and Topology methods. Linear methods are still making sense for functional data...
With the maturity of mobile technologies, voice biometrics is becoming increasingly popular as a promising alternative to traditional passwords for user authentication on smartphones. Moreover, with the popularity of voice user interface...
Biometric-based authentication is gaining increasing attention for wearables and mobile applications. Meanwhile, the growing adoption of sensors in wearables and mobiles also provides opportunities to capture novel biometrics. In this...
The technological advances in recent years have produced a wealth of intricate digital imaging data that is analyzed effectively using the principles of shape analysis. Such data often lies on either high-dimensional or infinite...
This dissertation defense is concerned with random objects in the complex projective space . It is shown that the Veronese-Whitney (VW) antimean, which is the extrinsic antimean of a random point on complex projective space relative to...
Many applications are featured with both text and location information, which leads to a novel type of search: spatial approximate string search (Sas). The Sas is gaining attention from the database community only recently. A large...
At its heart, a password cracking attack is just a guessing attack. An attacker makes guesses about a user's password until they guess correctly or they give up. While the defender may limit the number of guesses an attacker is allowed, ...
Modern science and technology have witnessed in the past decade a proliferation of complex data that can be naturally modeled and interpreted as graphs. In real-world networked applications, the underlying graphs oftentimes exhibit...
The most common approaches to analyzing algorithms are worst-case analysis, average-case analysis, and experimental analysis. In most cases, until recently, experimental analysis has not been given priority. The theoretical computer...
In this dissertation, I explore different types of applications in the area of applied machine learning, time series analysis, and prediction. Time series forecasting is a fundamental task in machine learning and data mining. It is an...
In this dissertation, we introduce a new approach in building a hybrid nuclear model that combines some existing theoretical models and a \universal" approximator. The goal of such an approach is to obtain new predictions of nuclear...
There are a wide variety of clustering and optimization algorithms which work in vector spaces, but relatively fewer that work on graphs. An algorithm to embed road network metrics into vector spaces is presented in this document, which...
Some of the material in is restricted to members of the community. By logging in, you may be able to gain additional access to certain collections or items. If you have questions about access or logging in, please use the form on the Contact Page.
