Computer Sciences Commons^™

Visualization Evaluation For Cyber Security: Trends And Future Directions, Diane Staheli, Tamara Yu, R. Jordan Crouser, Suresh Damodaran, Kevin Nam, David O'Gwynn, Lane Harrison, Sean Mckenna

Computer Science: Faculty Publications

The Visualization for Cyber Security research community (VizSec) addresses longstanding challenges in cyber security by adapting and evaluating information visualization techniques with application to the cyber security domain. This research effort has created many tools and techniques that could be applied to improve cyber security, yet the community has not yet established unified standards for evaluating these approaches to predict their operational validity. In this paper, we survey and categorize the evaluation metrics, components and techniques that have been utilized in the past decade of VizSec research literature. We also discuss existing methodological gaps in evaluating visualization in cyber security, …

Proceedings Of The 1st Annual Cuny Games Festival, Robert O. Duncan, Joe Bisz, Francesco Crocco, Carlos Hernandez, Kathleen Offenholley, Leah Potter, Maura A. Smale, Cuny Games Network

Publications and Research

Proceedings of the CUNY Games Conference, held from January 17-18, 2014, at the CUNY Graduate Center and Borough of Manhattan Community College.

Topics in Game Design - Teaching with Virtual and Augmented Realities - Writing with Games - Breaking the Magic Circle: Games & Real Life - Interactive Game Design (What's Your Game Plan? - Designing Ethical Games - Games and Gender - Gaming English Language and Literature - Game, Narrative, Literacy - Teaching with Games - Games, Storytelling, and Narrative - Games and STEM - Learning by Design - Students as Game Designers - Experiencing Reality in Popular Games …

Bridging The Detection Gap: A Study On A Behavior-Based Approach Using Malware Techniques, Geancarlo Palavicini

EWU Masters Thesis Collection

"In recent years the intensity and complexity of cyber attacks have increased at a rapid rate. The cost of these attacks on U.S. based companies is in the billions of dollars, including the loss of intellectual property and reputation. Novel and diverse approaches are needed to mitigate the cost of a security breach, and bridge the gap between malware detection and a security breach. This thesis focuses on the short term need to mitigate the impact of undetected shellcodes that cause security breaches. The thesis's approach focuses on the agents driving the attacks, capturing their actions, in order to piece …

Computing Mountain Passes, Garret Bolton

All Master's Theses

There are many equations in the applied sciences whose solutions correspond to critical points of a function describing specific phenomenon. For example, molecules have a unique potential energy, and one stable conformation of a molecule can be thought of as a low point on a potential energy surface. Finding the mountain pass point between two confirmations of a molecule is analogous to finding the energy of a biological structure that is an intermediate conformation between two stable states. Mathematicians have developed theorems and abstract techniques to find these mountain pass points. However, using such approaches is often difficult, especially because …

Directed Graph Cryptosystems, Kurt Anson Boberg

All Master's Theses

Cryptography is a necessary tool for secrecy in our increasingly connected and data-driven world. As advances are made in both mathematics and com­puter hardware design, existing cryptosystems must be improved or replaced to maintain privacy of sensitive data. In this paper we propose a novel cryptosystem based upon an algorithmic traversal of a directed graph (digraph). The sys­tem is resistant to the most common attacks on stream-type ciphers that do not use known-plaintext attacks. However, given a length n, the minimum number of vertices a digraph must contain to guarantee a cycle of at least n length is un­known, making …

Towards A Computational Analysis Of Probabilistic Argumentation Frameworks, Pierpaolo Dondio

Articles

In this paper we analyze probabilistic argumentation frameworks (PAFs), defined as an extension of Dung abstract argumentation frameworks in which each argument n is asserted with a probability p(n). The debate around PAFs has so far centered on their theoretical definition and basic properties. This work contributes to their computational analysis by proposing a first recursive algorithm to compute the probability of acceptance of each argument under grounded and preferred semantics, and by studying the behavior of PAFs with respect to reinstatement, cycles and changes in argument structure. The computational tools proposed may provide strategic information for agents selecting the …

Exploring Customer Specific Kpi Selection Strategies For An Adaptive Time Critical User Interface, Ingo Keck, Robert J. Ross

Conference papers

Rapid growth in the number of measures available to describe customer-organization relationships has presented a serious challenge for Business Intelligence (BI) interface developers as they attempt to provide business users with key customer information without requiring users to painstakingly sift through many interface windows and layers. In this paper we introduce a prototype Intelligent User Interface that we have deployed to partially address this issue. The interface builds on machine learning techniques to construct a ranking model of Key Performance Indicators (KPIs) that are used to select and present the most important customer metrics that can be made available to …

Defeasible Reasoning And Argument-Based Systems In Medical Fields: An Informal Overview, Luca Longo, Pierpaolo Dondio

Conference papers

The first aim of this article is to provide readers informally with the basic notions of defeasible and non-monotonic reasoning, logics borrowed from artificial intelligence. It then describes argumentation theory, a paradigm for implementing defeasible reasoning in practice as well as the common multilayer schema upon which argument-based models are usually built. The second aim is to describe the selection of argumentbased applications in the medical and health-care sectors. Finally, the paper will conclude with a summary of the features, which make defeasible reasoning and argumentation theory attractive, that emerge from the applications under review. The target reader is a …

Computing Trust As A Form Of Presumptive Reasoning, Pierpaolo Dondio, Luca Longo

Conference papers

This study describes and evaluates a novel trust model for a range of collaborative applications. The model assumes that humans routinely chose to trust their peers by relying on few recurrent presumptions, which are domain independent and that form a recognisable trust expertise. We refer to these presumptions as trust schemes, the specialised version of Walton’s argumentation schemes. Experimental evidence is provided about trust schemes efficacy with a detailed experiment over an online community of 80.000 members. Results show how proposed trust schemes are more effective in trust computation when they are combined together and when their plausibility in the …

Weak Isometries Of Hamming Spaces, Ryan Walter Bruner

Dissertations, Master's Theses and Master's Reports - Open

In this thesis we study weak isometries of Hamming spaces. These are permutations of a Hamming space that preserve some but not necessarily all distances. We wish to find conditions under which a weak isometry is in fact an isometry. This type of problem was first posed by Beckman and Quarles for Rⁿ. In chapter 2 we give definitions pertinent to our research. The 3rd chapter focuses on some known results in this area with special emphasis on papers by V. Krasin as well as S. De Winter and M. Korb who solved this problem for the Boolean …

A Comparative Study And Evaluation Of Collaborative Recommendation Systems, Joshua C. Stomberg

Dissertations, Master's Theses and Master's Reports - Open

Consumers currently enjoy a surplus of goods (books, videos, music, or other items) available to purchase. While this surplus often allows a consumer to find a product tailored to their preferences or needs, the volume of items available may require considerable time or effort on the part of the user to find the most relevant item. Recommendation systems have become a common part of many online business that supply users books, videos, music, or other items to consumers. These systems attempt to provide assistance to consumers in finding the items that fit their preferences. This report presents an overview of …

Raptorqp2p: Maximize The Performance Of P2p File Distribution With Raptorq Coding, Zeyang Su

Electronic Theses and Dissertations

BitTorrent is the most popular Peer-to-Peer (P2P) file sharing system widely used for distributing large files over the Internet. It has attracted extensive attentions from both network operators and researchers for investigating its deployment and performance. For example, recent studies have shown that under steady state, its rarest first scheme with the tit-for-tat mechanism can work very effectively and make BitTorrent near optimal for the generic file downloading process. However, in practice, the highly dynamic network environment, especially the notorious user churns prevalently existing in most peer-to-peer systems, can severely degrade the downloading performance. In this thesis, we first study …

Semantics In Support Of Biodiversity Knowledge Discovery: An Introduction To The Biological Collections Ontology And Related Ontologies, Ramona L. Walls, John Deck, Robert Guralnick, Steve Baskauf, Reed Beaman, Stanley Blum, Shaun Bowers

Computer Science Faculty Scholarship

The study of biodiversity spans many disciplines and includes data pertaining to species distributions and abundances, genetic sequences, trait measurements, and ecological niches, complemented by information on collection and measurement protocols. A review of the current landscape of metadata standards and ontologies in biodiversity science suggests that existing standards such as the Darwin Core terminology are inadequate for describing biodiversity data in a semantically meaningful and computationally useful way. Existing ontologies, such as the Gene Ontology and others in the Open Biological and Biomedical Ontologies (OBO) Foundry library, provide a semantic structure but lack many of the necessary terms to …

Dynamic Feature Extraction And User Classification Using Touchanalytics™, Clay Mcleod

Honors Theses

Security systems for modern computing devices suffer from a multitude of weaknesses that can render users helpless against an attack on their system. Various attempts at incorporating human characteristics into security systems have achieved varying levels of success in improving security. In this paper, we study the usefulness of TouchAnalytics™ - a second-level security system that attempts to authenticate a user based on touch-data gathered from an interaction with the device. Through the use of machine learning algorithms, we developed a system that is successful at au- thenticating users, achieving under 0.05% False Authentication Rate (FAR). We conclude that the …

The (Data Privacy) Law Hasn't Even Checked In When Technology Takes Off, Fred H. Cate, Christopher Kuner, Christopher Millard, Dan Jerker B. Svantesson

Articles by Maurer Faculty

No abstract provided.

Systematic Government Access To Private-Sector Data Redux, Fred H. Cate, Christopher Kuner, Christopher Millard, Dan Jerker B. Svantesson

Articles by Maurer Faculty

No abstract provided.

Neutrosophic Logic Approaches Applied To ”Rabot” Real Time Control, Alexandru Gal, Luige Vladareanu, Florentin Smarandache, Hongnian Yu, Mincong Deng

Branch Mathematics and Statistics Faculty and Staff Publications

In this paper we present a way of deciding which control law should operate at a time for a mobile walking robot. The proposed deciding method is based on the new research field, called Neutrosophic Logic. The results are presented as a simulated system for which the output is related to the inputs according to the Neutrosophic Logic.

New And Improved Spanning Ratios For Yao Graphs, Luis Barba, Prosenjit Bose, Mirela Damian, Rolf Fagerberg, Wah Loon Keng, Joseph O'Rourke, André Van Renssen, Perouz Taslakian, Sander Verdonschot, Ge Xia

Computer Science: Faculty Publications

For a set of points in the plane and a fixed integer k > 0, the Yao graph Y_k partitions the space around each point into k equiangular cones of angle Θ = 2π/k, and connects each point to a nearest neighbor in each cone. It is known for all Yao graphs, with the sole exception of Y₅, whether or not they are geometric spanners. In this paper we close this gap by showing that for odd k ≥ 5, the spanning ratio of Y_k is at most 1/(1−2sin(3Θ/8)), which gives the first constant upper bound for …

A Decision Making Tool For Sustainable Design In Construction, Enda Collins

Theses

This report defines sustainability and sustainable development before any research is carried out. This is necessary so that the research carried out further in the report makes sense and there is a reason for including such items in this report. The need for this project and what the project aims to achieve is also highlighted in the introduction of this report.

Sustainability is made up of three equal parts; social, economic and environmental. This report goes through each item and gives examples of each type of development. Having discussed sustainability in a broad sense the report then focuses on Legislation …

Nursing Pain Assessment & Management: A 3d Interactive Simulation, Enilda Romero-Hall, Ginger S. Watson, Yiannis Papelis, Hector Garcia

STEMPS Faculty Publications

In this design case, a team developed a 3D interactive simulation for nursing students and professional nurses to train and practice pain assessment and management procedures. In the simulation environment, the trainees interact with three emotionally expressive animated patients. The three patients vary in their ethnicity, age, and emotion intensity. Successful completion of the scenario requires that the trainee perform of a series of pain assessment and management tasks. The trainee is evaluated on the efficiency and appropriate sequencing of the tasks.

The purpose of this paper is to describe the decisions made regarding the type of virtual patients used, …

Placement Of Mode And Wavelength Converters For Throughput Enhancement In Optical Networks, Ruaa Abdulrahman

Electronic Theses and Dissertations

The success of recent experiments to transport data using combined wavelength division multiplexed (WDM) and mode-division multiplexed (MDM) transmission has generated optimism for the attainment of optical networks with unprecedented bandwidth capacity, exceeding the fundamental Shannon capacity limit attained by WDM alone. Optical mode converters and wavelength converters are devices that can be placed in future optical nodes (routers) to prevent or reduce the connection blocking rate and consequently increase network throughput. In this thesis, the specific problem of the placement of mode converters (MC) and mode-wavelength converters (MWC) in combined mode and wavelength division multiplexing (MWDM) networks is investigated. …

Functional Scaffolding For Musical Composition: A New Approach In Computer-Assisted Music Composition, Amy K. Hoover

Electronic Theses and Dissertations

While it is important for systems intended to enhance musical creativity to define and explore musical ideas conceived by individual users, many limit musical freedom by focusing on maintaining musical structure, thereby impeding the user's freedom to explore his or her individual style. This dissertation presents a comprehensive body of work that introduces a new musical representation that allows users to explore a space of musical rules that are created from their own melodies. This representation, called functional scaffolding for musical composition (FSMC), exploits a simple yet powerful property of multipart compositions: The pattern of notes and rhythms in different …

Do Groups Matter? An Agent-Based Modeling Approach To Pedestrian Egress, Andrew Collins, Terra Elzie, Erika Frydenlund, R. Michael Robinson

VMASC Publications

Festivals in city parks attended by individuals and families are a universal feature of urban life. These venues often have the common attributes of vendors and other obstacles that restrict pedestrian movement through certain areas, as well as fixed number of exits. In this study, the authors build an agent-based model (ABM) that incorporates group cohesion forces into this type of pedestrian egress scenario. The scenario considered was an evacuation of 500 people through a single exit. This allowed an investigation into the use of two different simulated pedestrian's heading updating rules.

Measuring Sense Of Presence And User Characteristics To Predict Effective Training In An Online Simulated Virtual Environment, Gianluca De Leo, Leigh A. Diggs, Elena Radici, Thomas W. Mastaglio

VMASC Publications

Introduction: Virtual-reality solutions have successfully been used to train distributed teams. This study aimed to investigate the correlation between user characteristics and sense of presence in an online virtual-reality environment where distributed teams are trained. A greater sense of presence has the potential to make training in the virtual environment more effective, leading to the formation of teams that perform better in a real environment. Being able to identify, before starting online training, those user characteristics that are predictors of a greater sense of presence can lead to the selection of trainees who would benefit most from the online simulated …

A Study Of Personal Cloud Computing: Compatibility, Social Influence, And Moderating Role Of Perceived Familiarity, Murad Moqbel, Valerie L. Bartelt, Mohammed Al-Suqri

Information Systems Faculty Publications

Building on a research framework based on the Theory of Reasoned Action (TRA), Innovation Diffusion Technology (IDT), and the Technology Adoption Model (TAM), we propose a model integrating compatibility, social influence, and perceived familiarity given the implicit uncertainty of personal cloud. Our model emphasizes the moderating effect of perceived familiarity on the relationships between both perceived compatibility and social influence on behavioral intention. PLS-based structural equation modeling is employed to test the related propositions empirically. Results from a survey, involving 265 university students, reveal that perceived compatibility explains a larger proportion of the variance in behavioral intention; perceived familiarity plays …

A Study On Fairness And Latency Issues Over High Speed Networks And Data Center Networks, Lin Xue

LSU Doctoral Dissertations

Newly emerging computer networks, such as high speed networks and data center networks, have characteristics of high bandwidth and high burstiness which make it difficult to address issues such as fairness, queuing latency and link utilization. In this study, we first conduct extensive experimental evaluation of the performance of 10Gbps high speed networks. We found inter-protocol unfairness and larger queuing latency are two outstanding issues in high speed networks and data center networks. There have been several proposals to address fairness and latency issues at switch level via queuing schemes. These queuing schemes have been fairly successful in addressing either …

Neutrosophic Theory And Its Applications : Collected Papers - Vol. 1, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Neutrosophic Theory means Neutrosophy applied in many fields in order to solve problems related to indeterminacy. Neutrosophy is a new branch of philosophy that studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. This theory considers every entity together with its opposite or negation and with their spectrum of neutralities in between them (i.e. entities supporting neither nor ). The and ideas together are referred to as . Neutrosophy is a generalization of Hegel's dialectics (the last one is based on and only). According to this theory every entity tends to be …

Lattice-Boltzmann Simulations Of The Thermally Driven 2d Square Cavity At High Rayleigh Numbers, Dario Contrino, Pierre Lallemand, Pietro Asinari, Li-Shi Luo

Mathematics & Statistics Faculty Publications

The thermal lattice Boltzmann equation (TLBE) with multiple-relaxation-times (MRT) collision model is used to simulate the steady thermal convective flows in the two-dimensional square cavity with differentially heated vertical walls at high Rayleigh numbers. The MRT-TLBE consists of two sets of distribution functions, i.e., a D2Q9 model for the mass-momentum equations and a D2Q5 model for the temperature equation. The dimensionless flow parameters are the following: the Prandtl number Pr = 0.71 and the Rayleigh number Ra = 10⁶, 10⁷, and 10⁸. The D2Q9 + D2Q5 MRT-TLBE is shown to be second-order accurate and …

How Well Does Multiple Ocr Error Correction Generalize?, William B. Lund, Eric K. Ringger, Daniel D. Walker

Faculty Publications

As the digitization of historical documents, such as newspapers, becomes more common, the need of the archive patron for accurate digital text from those documents increases. Building on our earlier work, the contributions of this paper are: 1. in demonstrating the applicability of novel methods for correcting optical character recognition (OCR) on disparate data sets, including a new synthetic training set, 2. enhancing the correction algorithm with novel features, and 3. assessing the data requirements of the correction learning method. First, we correct errors using conditional random fields (CRF) trained on synthetic training data sets in order to demonstrate the …

A Statistical Fmri Model For Differential T2* Contrast Incorporating T1 And T2* Of Gray Matter, M. Muge Karaman, Iain P. Bruce, Daniel B. Rowe

Mathematics, Statistics and Computer Science Faculty Research and Publications

Relaxation parameter estimation and brain activation detection are two main areas of study in magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI). Relaxation parameters can be used to distinguish voxels containing different types of tissue whereas activation determines voxels that are associated with neuronal activity. In fMRI, the standard practice has been to discard the first scans to avoid magnetic saturation effects. However, these first images have important information on the MR relaxivities for the type of tissue contained in voxels, which could provide pathological tissue discrimination. It is also well-known that the voxels located in gray matter …