Computer Sciences Commons^™

Building An Access Database For Cookstove Research, Margaret L. Weddle

Student Works

This paper takes the reader through the thought process and actual instructions to create your own Microsoft Access database, or how to use the one provided with this paper. Also, instructions to use the HBLL resources of Compendex and RefWorks are covered. While this work was built specifically for Cookstoves research, it could be adapted to any research where you would need to maintain a record of the journal articles that you are using. It has been discovered that building a database is a time consuming and difficult work, but once done, Access provides an easy way to work with …

Is Security Sustainable?, Jeremy W. Crampton

Geography Faculty Publications

No abstract provided.

Has Safeer Improved Sacm's Work And Helped Saudi Students In The Usa Resolve Their Needs Quickly, Faisal M. Alzomily

Masters Theses & Specialist Projects

This study examined efficiency of the Safeer by gathering and analyzing the perception of 131 Saudi students from Bowling Green, KY. The purpose of the study was to ensure that the system is able to perform its function as the bridge between different institutions and Saudi students studying in the US who require assistance in processing their academic requirements. A self-administered survey using five scale points was employed. Results were summarized using descriptive statistics at 95% confidence level. The result confirmed the hypothesis that the use of the Safeer program provides quality service delivery within SACM, which in turn benefits …

Experimental Studies Of Android App Development For Smart Chess Board System, Srujan Gopu

Masters Theses & Specialist Projects

Playing chess on a smart phone has gained popularity in the last few years, offering the convenience of correspondence play, automatic recording of a game, etc. Although a good number of players love playing chess on a tablet/smart phone, it doesn't come close to the experience of playing over the traditional board. The feel and pleasure are more real when playing face down with the opponent sitting across each other rather than playing in mobile devices. This is especially true during chess tournaments. It would be ideal to enhance the experience of playing chess on board with the features of …

Study Of Feasability For Phase Difference Extraction Using Software Defined Radio In Location Analysis, Paul Miller

Masters Theses

Here is a method for using the phase of an HF radio signal for use in location analysis. This computation is implemented in a software defined radio processing block in the GNU Radio environment. The signals analyzed are received by an Ettus Research USRP SDR. We created a phase analysis system called WMU Rootsync, which compares the roots of a received signal to the roots of a generated reference signal for the phase analysis. This research describes a prototype method for phase analysis only. Future projects may use these ideas differently than presented here. We intend for future projects to …

Towards Decrypting Attractiveness Via Multi-Modality Cue, Tam Nguyen, Si Liu, Bingbing Ni, Jun Tan, Yong Rui, Shuicheng Yan

Computer Science Faculty Publications

Decrypting the secret of beauty or attractiveness has been the pursuit of artists and philosophers for centuries. To date, the computational model for attractiveness estimation has been actively explored in the computer vision and multimedia community, yet with the focus mainly on facial features. In this article, we conduct a comprehensive study on female attractiveness conveyed by single/multiple modalities of cues, that is, face, dressing and/or voice; the aim is to discover how different modalities individually and collectively affect the human sense of beauty.

To extensively investigate the problem, we collect the Multi-Modality Beauty (M²B) dataset, which is …

Introduction To Gis Using Open Source Software, 4th Ed, Frank Donnelly

Open Educational Resources

This tutorial was created to accompany the GIS Practicum, a day-long workshop offered by the Newman Library at Baruch College CUNY that introduces participants to geographic information systems (GIS) using the open source software QGIS. The practicum introduces GIS as a concept for envisioning information and as a tool for conducting geographic analyses and creating maps. Participants learn how to navigate a GIS interface, how to prepare layers and conduct a basic geographic analysis, and how to create thematic maps. This tutorial was written using QGIS version 1.8 "Lisboa", a cross-platform (Windows, Mac, Linux) desktop GIS software package.

The User’S Communication Patterns On A Mobile Social Network Site, Youngsoo Kim

Research Collection School Of Computing and Information Systems

Given that users are simultaneously connected in multiple communication channels in a social networking service site (e.g., chat, message, and group message), we explore user's collective networking behavior. We collected the data from a mobile social networking site with 4.8 million registered users. The empirical estimation shows interesting results: (1) there are cross-effects across the communication channels: substitute effects for "chat and message" and complementary effects for "message and group message" and "chat and group message" (2) there is significant local network effect but global network effect is not observed, (3) users utilize communication channels for different purposes according to …

Delayflow Centrality For Identifying Critical Nodes In Transportation Networks, Yew-Yih Cheng, Roy Ka Wei Lee, Ee-Peng Lim, Feida Zhu

Research Collection School Of Computing and Information Systems

In an urban city, its transportation network supports efficient flow of people between different parts of the city. Failures in the network can cause major disruptions to commuter and business activities which can result in both significant economic and time losses. In this paper, we investigate the use of centrality measures to determine critical nodes in a transportation network so as to improve the design of the network as well as to devise plans for coping with network failures. Most centrality measures in social network analysis research unfortunately consider only topological structure of the network and are oblivious of transportation …

Best Upgrade Plans For Large Road Networks, Yimin Lin, Kyriakos Mouratidis

Research Collection School Of Computing and Information Systems

In this paper, we consider a new problem in the context of road network databases, named Resource Constrained Best Upgrade Plan computation (BUP, for short). Consider a transportation network (weighted graph) G where a subset of the edges are upgradable, i.e., for each such edge there is a cost, which if spent, the weight of the edge can be reduced to a specific new value. Given a source and a destination in G, and a budget (resource constraint) B, the BUP problem is to identify which upgradable edges should be upgraded so that the shortest path distance between source and …

Scalable Randomized Patrolling For Securing Rapid Transit Networks, Pradeep Varakantham, Hoong Chuin Lau, Zhi Yuan

Research Collection School Of Computing and Information Systems

Mass Rapid Transit using rail is a popular mode of transport employed by millions of people in many urban cities across the world. Typically, these networks are massive, used by many and thus, can be a soft target for criminals. In this paper, we consider the problem of scheduling randomised patrols for improving security of such rail networks. Similar to existing work in randomised patrols for protecting critical infrastructure, we also employ Stackelberg Games to represent the problem. In solving the Stackelberg games for massive rail networks, we make two key contributions. Firstly, we provide an approach called RaPtoR for …

Politics, Sharing And Emotion In Microblogs, Tuan-Anh Hoang, William Cohen, Ee Peng Lim, Doug Pierce, David Redlawsk

Research Collection School Of Computing and Information Systems

In political contexts, it is known that people act as "motivated reasoners", i.e., information is evaluated first for emotional affect, and this emotional reaction influences later deliberative reasoning steps. As social media becomes a more and more prevalent way of receiving political information, it becomes important to understand more completely the interaction between information, emotion, social community, and information-sharing behavior. In this paper, we describe a high-precision classifier for politically-oriented tweets, and an accurate classifier of a Twitter user's political affiliation. Coupled with existing sentiment-analysis tools for microblogs, these methods enable us to systematically study the interaction of emotion and …

Mining Direct Antagonistic Communities In Signed Social Networks, David Lo, Didi Surian, Philips Kokoh Prasetyo, Zhang Kuan, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Social networks provide a wealth of data to study relationship dynamics among people. Most social networks such as Epinions and Facebook allow users to declare trusts or friendships with other users. Some of them also allow users to declare distrusts or negative relationships. When both positive and negative links co-exist in a network, some interesting community structures can be studied. In this work, we mine Direct Antagonistic Communities (DACs) within such signed networks. Each DAC consists of two sub-communities with positive relationships among members of each sub-community, and negative relationships among members of the other sub-community. Identifying direct antagonistic communities …

From Questions To Effective Answers: On The Utility Of Knowledge-Driven Querying Systems For Life Sciences Data, Amir H. Asiaee, Prashant Doshi, Todd Minning, Satya S. Sahoo, Priti Parikh, Amit P. Sheth, Rick L. Tarleton

Kno.e.sis Publications

We compare two distinct approaches for querying data in the context of the life sciences. The first approach utilizes conventional databases to store the data and provides intuitive form-based interfaces to facilitate querying of the data, commonly used by the life science researchers that we study. The second approach utilizes a large OWL ontology and the same datasets associated as RDF instances of the ontology. Both approaches are being used in parallel by a team of cell biologists in their daily research activities, with the objective of gradually replacing the conventional approach with the knowledge-driven one. We describe several benefits …

Using Case Studies To Design And Deliver Technology-Centered Computing Education Courses: An Innovative Approach From An Undergraduate Information Systems Program In Singapore, Ilse Baumgartner

Research Collection School Of Computing and Information Systems

While the advantages of using case studies as an educational vehicle in computing education appear to be more than obvious, there is a very limited amount of research works or practice papers reporting on actual implementations of undergraduate or graduate computing courses which would be largely based on case studies. This conference contribution reports on selected best practices of course design and delivery implemented in one of the core courses of the Bachelor of Science (Information Systems Management) degree program (BSc (ISM)) offered by the School of Information Systems (SIS) at the Singapore Management University (SMU). Nearly all assessments, exercises, …

Reviving Dormant Ties In An Online Social Network Experiment, Ee Peng Lim, Denzil Correa, David Lo, Michael Finegold, Feida Zhu

Research Collection School Of Computing and Information Systems

Social network users connect and interact with one another to fulfil different kinds of social and information needs. When interaction ceases between two users, we say that their tie becomes dormant. While there are different underlying reasons of dormant ties, it is important to find means to revive such ties so as to maintain vibrancy in the relationships. In this work, we thus focus on designing an online experiment to evaluate the effectiveness of personalized social messages to revive dormant ties. The experiment carefully selects users with dormant ties so that no user gets mixed treatments and be affected by …

Overview: The Role Of Information Policy In Resolving Global Challenges, Sharon A. Weiner

Purdue Policy Research Institute (PPRI) Policy Briefs

Governments in many countries recognize the importance of knowledge-based societies whose citizens are adaptable and have the means to engage in continuous learning. Information societies can address global challenges far more readily than those that do not adopt its characteristics of ICTs (information and communication technologies) and connectivity; usable content; infrastructure and deliverability; and human intellectual capability.

Guidance In Feature Extraction To Resolve Uncertainty, Boris Kovalerchuk, Michael Kovalerchuk, Simon Streltsov, Matthew Best

Computer Science Faculty Scholarship

Automated Feature Extraction (AFE) plays a critical role in image understanding. Often the imagery analysts extract features better than AFE algorithms do, because analysts use additional information. The extraction and processing of this information can be more complex than the original AFE task, and that leads to the “complexity trap”. This can happen when the shadow from the buildings guides the extraction of buildings and roads. This work proposes an AFE algorithm to extract roads and trails by using the GMTI/GPS tracking information and older inaccurate maps of roads and trails as AFE guides.

A Forensic Study Of The Effectiveness Of Selected Anti-Virus Products Against Ssdt Hooking Rootkits, Sami Al-Shaheri, Dale Lindskog, Pavol Zavarsky, Ron Ruhl

Annual ADFSL Conference on Digital Forensics, Security and Law

For Microsoft Windows Operating Systems, both anti-virus products and kernel rootkits often hook the System Service Dispatch Table (SSDT). This research paper investigates the interaction between these two in terms of the SSDT. To investigate these matters, we extracted digital evidence from volatile memory, and studied that evidence using the Volatility framework. Due to the diversity in detection techniques used by the anti-virus products, and the diversity of infection techniques used by rootkits, our investigation produced diverse results, results that helped us to understand several SSDT hooking strategies, and the interaction between the selected anti-virus products and the rootkit samples. …

An Ontology-Based Forensic Analysis Tool, Mohammed Alzaabi, Andy Jones, Thomas A. Martin

Annual ADFSL Conference on Digital Forensics, Security and Law

The analysis of forensic investigation results has generally been identified as the most complex phase of a digital forensic investigation. This phase becomes more complicated and time consuming as the storage capacity of digital devices is increasing, while at the same time the prices of those devices are decreasing. Although there are some tools and techniques that assist the investigator in the analysis of digital evidence, they do not adequately address some of the serious challenges, particularly with the time and effort required to conduct such tasks. In this paper, we consider the use of semantic web technologies and in …

First Glance: An Introductory Analysis Of Network Forensics Of Tor, Raymond Hansen

Annual ADFSL Conference on Digital Forensics, Security and Law

The Tor network is a low-latency overlay network for TCP flows that is designed to provide privacy and anonymity to its users. It is currently in use by many as a means to avoid censorship of both information to be shared and information to be retrieved. This paper details the architecture of the Tor network as a platform for evaluating the current state of forensic analysis of the Tor network. Specific attempts to block access to the Tor network are examined to identify (a) the processes utilized to identify Tor nodes, and (b) the resulting exposure of potentially inculpatory evidence. …

A Thematic Review Of User Compliance With Information Security Policies Literature, David Sikolia

Annual ADFSL Conference on Digital Forensics, Security and Law

The adoption of computer and internet technology has greatly improved the way businesses operate. However the risk to the confidentiality, integrity and availability of organizational data and systems has greatly increased too. Information security is an ever present concern for all organizations. Financial estimates of the impact of security breaches to information and technology resources range from hundreds of billions to over one trillion dollars each year worldwide (D'Arcy et al., 2011b). Organizations have therefore developed a combination of technical, administrative, and physical controls to reduce this risk (D'Arcy et al., 2011a). Administrative measures include the development of information security …

Journey Into Windows 8 Recovery Artifacts, W. K. Johnson

Annual ADFSL Conference on Digital Forensics, Security and Law

One of the most difficult processes of digital forensics is to understand how new technology interacts with current technology and how digital forensic analysts can utilize current Digital Forensics technologies and processes to recover and find information hidden. Microsoft has released their new operating system Windows 8, with this new release Microsoft has added some features to the operating system that will present some interesting complications to digital forensics. Since the initial release of the Windows 8 Release Candidates there have been some research released that focus primarily on the new user created artifacts and a few artifacts that have …

An Image Forensic Scheme With Robust And Fragile Watermarking For Business Documents, Sai Ho Kwok

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper proposes an image forensic scheme with both robust and fragile watermarking techniques for business documents. Through a dual watermarking approach, the proposed scheme can achieve image forensics objectives of (a) identification of source; (b) authentication of documents; and (c) locating the tempered areas of documents due to attacks. An example is presented to prove the concepts of the proposed scheme.

Keywords: Image Forensics, Fragile and Robust Watermarking, Business Document.

Significance Of Semantic Reconciliation In Digital Forensics, Nickson M. Karie, H. S. Venter

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital forensics (DF) is a growing field that is gaining popularity among many computer professionals, law enforcement agencies and other stakeholders who must always cooperate in this profession. Unfortunately, this has created an environment replete with semantic disparities within the domain that needs to be resolved and/or eliminated. For the purpose of this study, semantic disparity refers to disagreements about the meaning, interpretation, descriptions and the intended use of the same or related data and terminologies. If semantic disparity is not detected and resolved, it may lead to misunderstandings. Even worse, since the people involved may not be from the …

System-Generated Digital Forensic Evidence In Graphic Design Applications, Enos Mabuto, Hein Venter

Annual ADFSL Conference on Digital Forensics, Security and Law

Graphic design applications are often used for the editing and design of digital art. The same applications can be used for creating counterfeit documents such as identity documents (IDs), driver’s licences, passports, etc. However, the use of any graphic design application leaves behind traces of digital information that can be used during a digital forensic investigation. Current digital forensic tools examine a system to find digital evidence, but they do not examine a system specifically for the creating of counterfeit documents created through the use of graphic design applications. The paper in hand reviews the system-generated digital forensic evidence gathered …

Money Laundering Detection Framework To Link The Disparate And Evolving Schemes, Murad Mehmet, Duminda Wijesekera, Miguel F. Buchholtz

Annual ADFSL Conference on Digital Forensics, Security and Law

Money launderers hide traces of their transactions with the involvement of entities that participate in sophisticated schemes. Money laundering detection requires unraveling concealed connections among multiple but seemingly unrelated human money laundering networks, ties among actors of those schemes, and amounts of funds transferred among those entities. The link among small networks, either financial or social, is the primary factor that facilitates money laundering. Hence, the analysis of relations among money laundering networks is required to present the full structure of complex schemes. We propose a framework that uses sequence matching, case-based analysis, social network analysis, and complex event processing …

Identifying Peer-To-Peer Traffic On Shared Wireless Networks, Simon Piel, Ej Jung

Annual ADFSL Conference on Digital Forensics, Security and Law

Tracing contraband downloads leads investigators to an IP address, and in turn Internet Service Providers (ISP) can provide a physical location using this IP address. However, most homes and offices share this IP address among many computers using wireless networks. In other words, there needs to be another investigation to find out which computer was responsible for contraband downloads. To make matters worse, these shared wireless networks often have vulnerabilities in access control such as using WEP or using weak passwords. In such cases, any computer in range, not necessarily at the given physical address, could be responsible. We use …

On Resolving The Cloud Forensics Conundrum, John Bagby

Annual ADFSL Conference on Digital Forensics, Security and Law

The “cloud” is idiom for an ill-defined set of online services. The cloud simultaneously offers IT savings and promises advances in functionality (e.g., ubiquity). However, the cloud also imposes poorly understood burdens on security and it may provoke injustice. Thus, the cloud presents a durable and seemingly irreconcilable conundrum for the digital forensics communit(ies). First, cloud proponents make efficiency promises for cloud services (SaaS, IaaS, PaaS). These translate well into the digital forensics domain. Indeed, the cloud may enable crowd sourcing of investigatory data vastly lowering costs of dispute resolution. For example, cloud-based litigation war rooms may reduce electronic discovery …

Cybercrime And Punishment: An Analysis Of The Deontological And Utilitarian Functions Of Punishment In The Information Age, Karim Jetha

Annual ADFSL Conference on Digital Forensics, Security and Law

This conceptual piece analyzes the role of criminal punishment and the nature of cyber crime to investigate whether the current punishment schemes are appropriate given the deontological and utilitarian goals of punishment: retribution, deterrence, incapacitation, and rehabilitation. The research has implications for policymaking in cybercriminal law.

Keywords: cybercrime, criminal law, punishment, retribution, deterrence, information economics