Computer Sciences Commons^™

An Adaptable Group Communication System, Vikram Reddy Kayathi

LSU Master's Theses

Existing group communication systems like ISIS, Spread, Jgroups etc., provide group communication in a synchronous environment. They are built on top of TCP/IP or UDP and guarantee virtual synchrony and consistency. However, wide area distributed systems are inherently asynchronous. Existing group communication systems are not suitable for wide area deployment. They do not provide persistent communication; i.e., if a node gets temporarily disconnected, all messages directed to that node during that period are lost. Hence such systems are not suitable for deployment in disadvantaged networks. While, according to Brewer’s CAP theorem, it is impossible for a distributed computer system to …

Implementation And Analysis Of A Top-K Retrieval System For Strings, Sabrina Chandrasekaran

LSU Master's Theses

Given text which is a union of d documents of strings, D = d1, d2,...., dd, the emphasis of this thesis is to provide a practical framework to retrieve the K most relevant documents for a given pattern P, which comes as a query. This cannot be done directly, as going through every occurrence of the query pattern may prove to be expensive if the number of documents that the pattern occurs in is much more than the number of documents (K) that we require. Some advanced query functionality will be required, as compared to listing the documents that the …

Recommender System For Audio Recordings, Jong Seo Lee

Master's Theses

Nowadays the largest E-commerce or E-service websites offer millions of products for sale. A Recommender system is defined as software used by such websites for recommending commercial or noncommercial product items to users according to the users’ tastes. In this project, we develop a recommender system for a private multimedia web service company. In particular, we devise three recommendation engines using different data filtering methods – named weighted-average, K-nearest neighbors, and item-based – which are based on collaborative filtering techniques, which work by recording user preferences on items and by anticipating the future likes and dislikes of users by comparing …

Questioning Cultural Commons, Lawrence B. Solum

Georgetown Law Faculty Publications and Other Works

In Constructing Commons in the Cultural Environment, Michael J. Madison, Brett M. Frischmann, and Katherine J. Strandburg offer an innovative and attractive vision of the future of cultural and scientific knowledge through the construction of “cultural commons,” which they define as “environments for developing and distributing cultural and scientific knowledge through institutions that support pooling and sharing that knowledge in a managed way.” The kind of “commons” they have in mind is modeled on the complex arrangement of social norms that allocate lobstering rights among fishermen in Maine and extends to arrangements such as patent pools, open-source software development …

Sascha Vitzhum, Jim Browne

Interviews for WGLT

Jim Browne interviews Assistant Professor Sascha Vitzhum about virtual worlds, economics and marketing. (requires RealPlayer)

Remote Access Forensics For Vnc And Rdp On Windows Platform, Paresh Kerai

Australian Digital Forensics Conference

There has been a greater implementation of remote access technologies in recent years. Many organisations are adapting remote technologies such as Virtual Network Computing (VNC) and remote desktop (RDP) applications as customer support application. They use these applications to remotely configure computers and solve computer and network issues of the client on spot. Therefore, the system administrator or the desktop technician does not have to sit on the client computer physically to solve a computer issue. This increase in adaptation of remote applications is of interest to forensic investigators; this is because illegal activities can be performed over the connection. …

An Analysis Of Malfeasant Activity Directed At A Voip Honeypot, Craig Valli

Australian Digital Forensics Conference

This paper analyses data collected over a nine month period in a simple VoIP honeypot based on simple design initially put forward by Usken(2009). The honeypot collected 2083 events of malfeasant activity directed towards commonly used VoIP ports. These events resulted in a range of activity being recorded from simple enumeration to advanced probing and attempts to compromise the victim honeypot. The analysis involved traditional statistics from packet analysis, using customised scripts for extraction of data and graphical analysis using i2 Analyst Workstation. The analysis has uncovered an escalation of network activity directed towards the honeypot over a nine month …

Trust Account Fraud And Effective Information Security Management, Sameera Mubarak

Journal of Digital Forensics, Security and Law

The integrity of lawyers’ trust accounts has come under scrutiny in the last few years. There are strong possibilities of information technology security breaches happening within the firms, either accidental or deliberate. The damage caused by these security breaches could be extreme. For example, a trust account fund in an Australian law firm was misused in a security breach in which Telstra charged A$50,000 for phone usage, mainly for ISD calls to Hong Kong. Our study involved interviewing principals of ten law companies to find out solicitors’ attitudes to computer security and the possibility of breaches of their trust accounts. …

Forensic Analysis Of The Windows 7 Registry, Khawla A. Alghafli, Andrew Jones, Thomas A. Martin

Journal of Digital Forensics, Security and Law

The recovery of digital evidence of crimes from storage media is an increasingly time consuming process as the capacity of the storage media is in a state of constant growth. It is also a difficult and complex task for the forensic investigator to analyse all of the locations in the storage media. These two factors, when combined, may result in a delay in bringing a case to court. The concept of this paper is to start the initial forensic analysis of the storage media in locations that are most likely to contain digital evidence, the Windows Registry. Consequently, the forensic …

Reeling In Big Phish With A Deep Md5 Net, Brad Wardman, Gary Warner, Heather Mccalley, Sarah Turner, Anthony Skjellum

Journal of Digital Forensics, Security and Law

Phishing continues to grow as phishers discover new exploits and attack vectors for hosting malicious content; the traditional response using takedowns and blacklists does not appear to impede phishers significantly. A handful of law enforcement projects — for example the FBI's Digital PhishNet and the Internet Crime and Complaint Center (ic3.gov) — have demonstrated that they can collect phishing data in substantial volumes, but these collections have not yet resulted in a significant decline in criminal phishing activity. In this paper, a new system is demonstrated for prioritizing investigative resources to help reduce the time and effort expended examining this …

The 2009 Analysis Of Information Remaining On Disks Offered For Sale On The Second Hand Market, Andy Jones, Craig Valli, Glenn S. Dardick, Iain Sutherland, G. Dabibi, Gareth Davies

Journal of Digital Forensics, Security and Law

The ever increasing use and reliance upon computers in both the public and private sector has led to enormous numbers of computers being disposed of at the end of their useful life within an organisation. As the cost of computers has dropped, their use in the home has also continued to increase. In most organisations, computers have a relatively short life and are replaced on a regular basis with the result that, if not properly cleansed of data, they are released into the public domain containing data that can be relatively up to date. This problem is exacerbated by the …

Computer Forensics For Graduate Accountants: A Motivational Curriculum Design Approach, Grover S. Kearns

Journal of Digital Forensics, Security and Law

Computer forensics involves the investigation of digital sources to acquire evidence that can be used in a court of law. It can also be used to identify and respond to threats to hosts and systems. Accountants use computer forensics to investigate computer crime or misuse, theft of trade secrets, theft of or destruction of intellectual property, and fraud. Education of accountants to use forensic tools is a goal of the AICPA (American Institute of Certified Public Accountants). Accounting students, however, may not view information technology as vital to their career paths and need motivation to acquire forensic knowledge and skills. …

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Database Security: What Students Need To Know, Meg C. Murray

Faculty Articles

Database security is a growing concern evidenced by an increase in the number of reported incidents of loss of or unauthorized exposure to sensitive data. As the amount of data collected, retained and shared electronically expands, so does the need to understand database security. The Defense Information Systems Agency of the US Department of Defense (2004), in its Database Security Technical Implementation Guide, states that database security should provide controlled, protected access to the contents of a database as well as preserve the integrity, consistency, and overall quality of the data. Students in the computing disciplines must develop an …

Parallel And Distributed Simulation Of Parabolic And Telegraphic Equations., Ewedafe Simon Uzezi

Student Works (2010-2019)

In this thesis, a parallel implementation of explicit/implicit parallel algorithms such as the stationary iterative methods and the class of iterating alternating methods which includes: Alternating Direction Implicit (ADI), Iterative Alternating Direction Explicit (IADE), for D’Yakonov (IADE-DY), Double sweep Mitchell and Fairweather (MF-DS) and Alternating Group Explicit (AGE) method for solving 1-Dimensional (1-D), 2-Dimensional (2-D) Parabolic (special examples including 1-D, 2-D Bio-Heat Equation) and 1-D, 2-D and 3-D Telegraphic Equations on a distributed environment of Message Passing Interface (MPI) and Parallel Virtual Machine (PVM) platform is presented. To correlate the communication activity with computation, we counted events between significant MPI/PVM …

Inversion Of 2d And 3d Dc Resistivity Imaging Data Forhigh Contrast Geophysical Regions Using Artificial Neuralnetworks., Ahmad Neyamadpour

Student Works (2010-2019)

In electrical resistivity imaging surveys, the field data along a profile are normally acquired as a subsurface distribution of apparent resistivity. One common method to obtain the true resistivity distribution is by inverting the apparent resistivity values. However, the inversion of DC resistivity imaging data is complex due to its non-linearity. This is especially true for regions with high resistivity contrast. For the complicated subsurface structure, especially when regions of high resistivity contrast exist, a conventional inversion technique based on least squares methods may not be able to invert the DC resistivity data with adequate accuracy. Therefore, in this study, …

Ontology-Driven Discovery Of Scientific Computational Entities, Pearl W. Brazier

Open Access Theses & Dissertations

Many geoscientists use modern computational resources, such as software applications, Web services, scientific workflows and datasets that are readily available on the Internet, to support their research and many common tasks. These resources are often shared via human contact and sometimes stored in data portals; however, they are not necessarily available for metadata annotations that can assist in collaborative research or machine processing. Scientists' knowledge of their resources and processes are at risk of being lost. A scientist-driven discovery environment, which assumes a level of technical expertise generally possessed by a geoscientist, is needed to enable discovery and comparisons of …

Lessons Learned From An Investigation Into The Analysis Avoidance Techniques Of Malicious Software, Murray Brand, Craig Valli, Andrew Woodward

Australian Digital Forensics Conference

This paper outlines a number of key lessons learned from an investigation into the techniques malicious executable software can employ to hinder digital forensic examination. Malware signature detection has been recognised by researchers to be far less than ideal. Thus, the forensic analyst may be required to manually analyse suspicious files. However, in order to hinder the forensic analyst, hide its true intent and to avoid detection, modern malware can be wrapped with packers or protectors, and layered with a plethora of antianalysis techniques. This necessitates the forensic analyst to develop static and dynamic analysis skills tailored to navigate a …

Fireguard - A Secure Browser With Reduced Forensic Footprint, Don Griffiths, Peter James

Australian Digital Forensics Conference

Fireguard is a secure portable browser designed to reduce both data leakage from browser data remnants and cyber attacks from malicious code exploiting vulnerabilites in browser plug-ins, extensions and software updates. A browser can leave data remnants on a host PC hard disk drive, often unbeknown to a user, in the form of cookies, histories, saved passwords, cached web pages and downloaded objects. Forensic analysis, using freely available computer forensic tools, may reveal sensitive and confidential information. A browser’s capability to increase its features through plug-ins and extensions and perform patch management or upgrade to a new release via a …

The 2009 Analysis Of Information Remaining On Disks Offered For Sale On The Second Hand Market, Andy Jones, Craig Valli, Glenn S. Dardick, Iain Sutherland, G. Dabibi, Gareth Davies

Australian Digital Forensics Conference

The ever increasing use and reliance upon computers in both the public and private sector has led to enormous numbers of computers being disposed of at the end of their useful life within an organisation. As the cost of computers has dropped, their use in the home has also continued to increase. In most organisations, computers have a relatively short life and are replaced on a regular basis with the result that, if not properly cleansed of data, they are released into the public domain containing data that can be relatively up to date. This problem is exacerbated by the …

Mobile Mapping System Lidar Data Framework, P. Lewis, C. Mcelhinney, Bianca Schoen-Phelan, T. Mccarthy

Articles

Mobile Mapping Systems (MMSs) for infrastructural monitoring and mapping arebecoming more prevalent as the availability and affordability of solutions that generate high accuracy geospatial data has matured.However, no existent methodology or systemexists where all theLiDAR, video, navigation,infrared and multispectraldata sources,collected from thismobile platform are integrated into a single, comprehensivedata management solution. Based on empirical experience there is a need for an MMS-data management framework where these types of data can be dynamically accessed and integratedto enable different projects with varying objectives todynamically accessdifferent MMS-data for, in one example, use in feature extraction algorithms. In this paper we introduce the LiDAR …

Character Degrees Of Normally Monomial Maximal Class 5-Groups, Michael Slattery

Mathematics, Statistics and Computer Science Faculty Research and Publications

This paper will impose limits on the possible sets of irreducible character degrees of a normally monomial 5-group of maximal class.

Developing Preservice Teachers’ Mathematical And Pedagogical Knowledge Using An Integrated Approach, Marta Magiera, Leigh A. Van Den Kieboom

Mathematics, Statistics and Computer Science Faculty Research and Publications

This paper describes how an integrated mathematics content and early field-experience course provides opportunities for preservice elementary teachers to develop understanding of mathematics and mathematics teaching. Engaging preservice teachers in solving and discussing mathematical tasks and providing opportunities to implement these tasks with elementary students creates an authentic context for the future teachers to reflect on their own understanding of mathematics, mathematics teaching, and students’ mathematical thinking. Essential elements of the cycle of events in the integrated model of instruction are discussed: preservice students’ acquisition of mathematical concepts in the context of selected tasks in the content course; subsequent posing …

Gliomapredict: A Clinically Useful Tool For Assigning Glioma Patients To Specific Molecular Subtypes, Aiguo Li, Serdar Bozdag, Yuri Kotliarov, Howard A. Fine

Mathematics, Statistics and Computer Science Faculty Research and Publications

Background: Advances in generating genome-wide gene expression data have accelerated the development of molecular-based tumor classification systems. Tools that allow the translation of such molecular classification schemas from research into clinical applications are still missing in the emerging era of personalized medicine.

Results: We developed GliomaPredict as a computational tool that allows the fast and reliable classification of glioma patients into one of six previously published stratified subtypes based on sets of extensively validated classifiers derived from hundreds of glioma transcriptomic profiles. Our tool utilizes a principle component analysis (PCA)-based approach to generate a visual representation of the analyses, quantifies …

Representation And Validation Of Domain And Range Restrictions In A Relational Database Driven Ontology Maintenance System, Patrick Garrett. Edgett

Masters Theses

"An ontology can be used to represent and organize the objects, properties, events, processes, and relations that embody an area of reality [1]. These knowledge bases may be created manually (by individuals or groups), and/or automatically using software tools, such as those developed for information retrieval and data mining. Recently, the National Science Foundation funded a large collaborative development project for the semi-automated construction of an ontology of amphibian anatomy (AmphibAnat [2]). To satisfy the extensive community curation requirements of that project, a generic, Web-based, multi-user, relational database ontology management system (RDBOM [3]) was constructed, based upon a novel theoretical …

Content Based Image Retrieval For Bio-Medical Images, Vikas Nahar

Masters Theses

"Content Based Image Retrieval System (CBIR) is used to retrieve images similar to the query image. These systems have a wide range of applications in various fields. Medical subject headings, key words, and bibliographic references can be augmented with the images present within the articles to help clinicians to potentially improve the relevance of articles found in the querying process. In this research, image feature analysis and classification techniques are explored to differentiate images found in biomedical articles which have been categorized based on modality and utility. Examples of features examined in this research include: features based on different histograms …

Contribution-Based Priority Assessment In A Web-Based Intelligent Argumentation Network For Collaborative Software Development, Maithili Satyavolu

Masters Theses

"Decision making is an important aspect of the collaborative software development process which usually involves complex process of conflict resolution. Stakeholders approach decision making process from multiple perspectives and their priorities play a vital role in it. The priority assessment methods used in the argumentation process so far are usually static. Priorities remain constant throughout the decision making process. In order to make the collaborative system more closely replicate real-world scenarios, this work incorporates dynamic priority assessment into a web-based collaborative system which is based on intelligent computational argumentation. It evaluates priorities dynamically for each cycle of decision process based …

Etherannotate: A Transparent Malware Analysis Tool For Integrating Dynamic And Static Examination, Joshua Michael Eads

Masters Theses

"Software security researchers commonly reverse engineer and analyze current malicious software (malware) to determine what the latest techniques malicious attackers are utilizing and how to protect computer systems from attack. The most common analysis methods involve examining how the program behaves during execution and interpreting its machine-level instructions. However, modern malicious applications use advanced anti-debugger, anti-virtualization, and code packing techniques to obfuscate the malware's true activities and divert security analysts. Malware analysts currently do not have a simple method for tracing malicious code activity at the instruction-level in a highly undetectable environment. There also lacks a simple method for combining …

2-D Path Planning For Direct Laser Deposition Process, Swathi Routhu

Masters Theses

"The zigzag and offset path have been the two most popular path patterns for tool movement in machining process. Different from the traditional machining processes, the quality of parts produced by the metal deposition process is much more dependent upon the choice of deposition paths. Due to the nature of the metal deposition processes, various tool path patterns not only change the efficiency but also affect the deposition height, a critical quality for metal deposition process. This thesis presents the research conducted on calculating zigzag pattern to improve efficiency by minimizing the idle path. The deposition height is highly dependent …

A Pilot Study In An Application Of Text Mining To Learning System Evaluation, Nitsawan Katerattanakul

Masters Theses

"Text mining concerns discovering and extracting knowledge from unstructured data. It transforms textual data into a usable, intelligible format that facilitates classifying documents, finding explicit relationships or associations between documents, and clustering documents into categories. Given a collection of survey comments evaluating the civil engineering learning system, text mining technique is applied to discover and extract knowledge from the comments. This research focuses on the study of a systematic way to apply a software tool, SAS Enterprise Miner, to the survey data. The purpose is to categorize the comments into different groups in an attempt to identify "major" concerns from …