Computer Sciences Commons^™

Enabling Carrier Collaboration Via Order Sharing Double Auction: A Singapore Urban Logistics Perspective, Handoko Stephanus Daniel, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

A recent exploratory study on the collaborative urban logistics in Singapore suggests that cost reduction and privacy preservation are two main drivers that would motivate the participation of carriers in consolidating their last mile deliveries. With Singapore's mild restrictions on the vehicle types or the time windows for the last-mile delivery, we believe that with proper technology in place, an Urban Consolidation Center like the Tenjin Joint Distribution System in Fukuoka Japan may be implemented to achieve cost reduction with some degree of privacy preservation. Participating carriers keep their respective private orders and have the option to get their remaining …

Using Graphic Methods To Challenge Cryptographic Performance, Brian Cusack, Erin Chapman

Australian Information Security Management Conference

Block and stream ciphers have formed the traditional basis for the standardisation of commercial ciphers in the DES, AES, RC4, and so on. More recently alternative graphic methods such as Elliptic Curve Cryptography (ECC) have been adopted for performance gains. In this research we reviewed a range of graphic and non-graphic methods and then designed our own cipher system based on several graphic methods, including Visual Cryptography (VC). We then tested our cipher against RC4 and the AES algorithms for performance and security. The results showed that a graphics based construct may deliver comparable or improved security and performance in …

A Survey Of Social Media Users Privacy Settings & Information Disclosure, Mashael Aljohani, Alastair Nisbet, Kelly Blincoe

Australian Information Security Management Conference

This research utilises a comprehensive survey to ascertain the level of social networking site personal information disclosure by members at the time of joining the membership and their subsequent postings to the sites. Areas examined are the type of information they reveal, their level of knowledge and awareness regarding how their information is protected by SNSs and the awareness of risks that over-sharing may pose. Additionally, this research studies the effect of gender, age, education, and level of privacy concern on the amount and kind of personal information disclosure and privacy settings applied. A social experiment was then run for …

An Investigation Of Potential Wireless Security Issues In Traffic Lights, Brian Bettany, Michael N. Johnstone, Matthew Peacock

Australian Information Security Management Conference

The purpose of automated traffic light systems is to safely and effectively manage the flow of vehicles through (usually) urban environments. Through the use of wireless-based communication protocols, sets of traffic lights are increasingly being connected to larger systems and also being remotely accessed for management purposes, both for monitoring and emergency purposes. These protocols, however, were not designed with security as a primary requirement, thus systems may operate with sub-standard or non-existent security implementations. This research aims to test if the same issues and vulnerabilities that appear to be present in traffic light systems in the USA are prevalent …

Experiments In Idiom Recognition, Jing Peng, Anna Feldman

Department of Computer Science Faculty Scholarship and Creative Works

Some expressions can be ambiguous between idiomatic and literal interpretations depending on the context they occur in, e.g., sales hit the roof vs. hit the roof of the car. We present a novel method of classifying whether a given instance is literal or idiomatic, focusing on verb-noun constructions. We report state-of-the-art results on this task using an approach based on the hypothesis that the distributions of the contexts of the idiomatic phrases will be different from the contexts of the literal usages. We measure contexts by using projections of the words into vector space. For comparison, we implement Fazly et …

Empirical Analysis Of Socio-Cognitive Factors Affecting Security Behaviors And Practices Of Smartphone Users, Joseph P. Simpson

CCAC Theses and Dissertations

The overall security posture of information systems (IS) depends on the behaviors of the IS users. Several studies have shown that users are the greatest vulnerability to IS security. The proliferation of smartphones is introducing an entirely new set of risks, threats, and vulnerabilities. Smartphone devices amplify this data exposure problem by enabling instantaneous transmission and storage of personally identifiable information (PII) by smartphone users, which is becoming a major security risk. Moreover, companies are also capitalizing on the availability and powerful computing capabilities of these smartphone devices and developing a bring-your-own-device (BYOD) program, which makes companies susceptible to divulgence …

A Study Of The Success Of Group Formation In Virtual Teams Using Computer-Mediated Communications, Eliel Melón-Ramos

CCAC Theses and Dissertations

In the digital domain, virtual teams within organizations and corporations are becoming common. Restructuring an organization or corporation is vital because competition and globalization are increasing. In this era of globalization, distributed working groups need to develop a competitive advantage in these ever-changing environments. Historically, teams had experienced problems stemming from geographical and temporal limitations. With the increase of technology in telecommunications, organizations are increasingly forming virtual teams, which have become critical to the survival of nearly any corporate entity.

Virtual teams have some of the same problems that regular teams have. One of the key challenges is the method …

Evaluating The Enterprise Resource Planning (Erp) Systems’ Success At The Individual Level Of Analysis In The Middle East, Mohammad Alzoubi

CCAC Theses and Dissertations

Although ERP systems have been depicted as a solution in many organizations, there are many negative reports on ERP success, benefits, and effect on user’s performance. Previous research noted that there is a lack of knowledge and awareness of ERP systems and their overall value to ERP organizations. ERP systems have been widely studied during the past decade, yet they often fail to deliver the intended benefits originally expected. One notable reason for their failures is the lack of understanding in users’ requirements. This dissertation study was designed to understand the relative importance of system quality (SQ), IQ (IQ), service …

A Big Idea: The Rollout Of Open Suny, Karen E. Case

CCAC Theses and Dissertations

Leveraging technology may be a viable solution in the higher education industry as enrollments decline and institutions have a hard time meeting their projected budgets. One innovative approach to mitigating this problem was approved in March of 2013 by the Board of Trustees of the State University of New York (SUNY). It is called Open SUNY. Open SUNY consists of nine components: the creation and expansion of online programs to meet workforce development needs, the development of online credit-bearing experiential learning experiences, support for training of faculty who opt to use emerging technologies, support for student access to online courses, …

An Investigation Of Socio-Technical Components Of Knowledge Management System (Kms) Usage, Noel Wint Jr.

CCAC Theses and Dissertations

Existing literature indicates that although both academics and practitioners recognize knowledge management (KM) as a source of competitive advantage, users are not always willing to use a knowledge management system (KMS). Because of the social nature of knowledge transfer, a KMS can be considered a socio-technical system. Many explanations have been presented for this failure to utilize the KMS. These explanations include a number of the socio-technical factors relating to people, processes, and technologies. While these factors may have significant explanatory power when examined independently, existing studies have not sufficiently addressed the interactions among all three socio-technical factors or their …

Electronic Medical Records (Emr): An Empirical Testing Of Factors Contributing To Healthcare Professionals’ Resistance To Use Emr Systems, Emmanuel Patrick Bazile

CCAC Theses and Dissertations

The benefits of using electronic medical records (EMRs) have been well documented; however, despite numerous financial benefits and cost reductions being offered by the federal government, some healthcare professionals have been reluctant to implement EMR systems. In fact, prior research provides evidence of failed EMR implementations due to resistance on the part of physicians, nurses, and clinical administrators. In 2010, only 25% of office-based physicians have basic EMR systems and only 10% have fully functional systems. One of the hindrances believed to be responsible for the slow implementation rates of EMR systems is resistance from healthcare professionals not truly convinced …

Use Of Student Created Video Podcasts To Promote Foreign Language Grammar Acquisition In Middle School, Sergio Parra

CCAC Theses and Dissertations

The use of video podcasts in education has emerged as a phenomenon that has gained a considerable amount of attention over the last few years. Although video podcasting is becoming a well-established technology in higher education, new multimedia instructional strategies such as student-created video podcasts in grades K-12 are under-researched.

The study investigated the effects of video podcasts created by students to promote foreign language grammar acquisition at the middle school level and find how students described such experience. The current investigation was conducted by using the explanatory sequential design, which is a mixed methods research design that occurs in …

Efficient Execution Of Top-K Closeness Centrality Queries, Paul W. Olsen

Legacy Theses & Dissertations (2009 - 2024)

Many of today's applications can benefit from the discovery of the most central entities in real-world networks.

Persuasion In Online Communication : Automation And Counteraction, Samira Shaikh Shaikh

Legacy Theses & Dissertations (2009 - 2024)

In this thesis, we studied persuasion in online communication and how to automate

A Study Of Social Web Data On Buprenorphine Abuse Using Semantic Web Technology, Raminta Daniulaityte, Amit P. Sheth

Kno.e.sis Publications

The Specific Aims of this application are to use a paradigmatic approach that combines Semantic Web technology, Natural Language Processing and Machine Learning techniques to:

1) Describe drug users’ knowledge, attitudes, and behaviors related to the non-medical use of Suboxone and Subutex as discussed on Web-based forums.
2) Identify and describe temporal patterns of non-medical use of Suboxone and Subutex as discussed on Web-based forums.

The research was carried out by an interdisciplinary team of members of the Center for Interventions, Treatment and Addictions Research (CITAR) and the Ohio Center of Excellence in Knowledge- enabled Computing (Kno.e.sis) at Wright State …

Building The Web Of Knowledge With Smart Iot Applications, Amelie Gyrard, Pankesh Patel, Amit P. Sheth, Martin Serrano

Kno.e.sis Publications

The Internet of Things (IoT) is experiencing fast adoption because of its positive impact to change all aspects of our lives, from agriculture in rural areas, to health and wellness, to smart home and smart-x applications in cities. The development of IoT applications and deployment of smart IoT-based solutions is just starting; smart IoT applications will modify our physical world and our interaction with cyber spaces, from how we remotely control appliances at home to how we care for patients or elderly persons. The massive deployment of IoT devices represents a tremendous economic impact and at the same time offers …

Co-Evolution Of Rdf Datasets, Sidra Faisal, Kemele M. Endris, Saeedeh Shekarpour, Sören Auer, Maria-Esther Vidal

Kno.e.sis Publications

Linking Data initiatives have fostered the publication of large number of RDF datasets in the Linked Open Data (LOD) cloud, as well as the development of query processing infrastructures to access these data in a federated fashion. However, different experimental studies have shown that availability of LOD datasets cannot be always ensured, being RDF data replication required for envisioning reliable federated query frameworks. Albeit enhancing data availability, RDF data replication requires synchronization and conflict resolution when replicas and source datasets are allowed to change data over time, i.e., co-evolution management needs to be provided to ensure consistency. In this paper, …

Do We Choose What We Desire? – Persuading Citizens To Make Consistent And Sustainable Mobility Decisions, Christopher Lisson, Margeret A. Hall

Interdisciplinary Informatics Faculty Proceedings & Presentations

A dilemma in urban mobility with tremendous effects on citizens’ wellbeing is the unconscious antipode between their short- and long-term goals. People do not anticipate all consequences of their modal choices and thus make decisions that might be incoherent with their desires, e.g. taking their own car due to convenience but causing a congested city. Omnipresent Information Systems on smartphones provide the necessary information and coordination capabilities to support people for sustainable and individually coherent mobility decisions on a mass scale. Building upon extant work in travel behavior and social psychology, a framework is proposed to coordinate research efforts in …

Cleaning Up Minnesota's Archeological Record With Maid: The Minnesota Archeological Integrated Database, Andrew Allen Brown

All Graduate Theses, Dissertations, and Other Capstone Projects

Minnesota archeologists face many difficulties in conducting archeological research and managing the state's cultural resources such as a lack of standardized data formats and field/lab procedures, a lack of a centralized data repository, and insufficient existing databases. The purpose of this thesis is to build the foundation for a database system that addresses these difficulties along with being efficient and effective for entering, managing, and analyzing archeological data produced in the field and in the lab. The Minnesota Archeological Integrated Database is being built to be a long-lasting, constantly evolving system to be used by archeologists and cultural resource managers …

Mind The Gap: The Importance Of Pluralistic Discourse In Computing For Mental Health, R. Jordan Crouser, Morganne Ray Crouser

Computer Science: Faculty Publications

A large amount of HCI research leverages studies from psychology to try to understand how humans work. Unfortunately, there is often a disconnect between the tightly- controlled laboratory studies being referenced and the application of this knowledge in practice. At the same time, many mental health practitioners are beginning to turn toward computational tools to help stretch limited resources and support equitable access to mental healthcare. These efforts could be dramatically enhanced by leveraging what the HCI community has learned about promoting active engagement and designing unobtrusive interfaces. By facilitating collaboration between HCI researchers and practitioners in the field of …

Low Budget Forensic Drive Imaging Using Arm Based Single Board Computers, Eric Olson, Narasimha Shashidhar

Journal of Digital Forensics, Security and Law

Traditional forensic analysis of hard disks and external media typically involves a powered down machine and “dead analysis” of these devices. Forensic acquisition of hard drives and external media has traditionally been by one of several means: standalone forensic duplicator; using a hardware write-blocker or dock attached to a laptop, computer, workstation, etc., forensic operating systems that live boot from a USB, CD/DVD or virtual machines with preinstalled operating systems. Standalone forensics acquisition and imaging devices generally cost thousands of dollars. In this paper, we propose the use of single board computers as forensic imaging devices. Single board computers can …

In-The-Wild Residual Data Research And Privacy, William B. Glisson, Tim Storer, Andrew Blyth, George Grispos, Matt Campbell

Journal of Digital Forensics, Security and Law

As the world becomes increasingly dependent on technology, researchers in both industry and academia endeavor to understand how technology is used, the impact it has on everyday life, the artifact life-cycle and overall integrations of digital information. In doing so, researchers are increasingly gathering 'real-world' or 'in-the-wild' residual data, obtained from a variety of sources, without the explicit consent of the original owners. This data gathering raises significant concerns regarding privacy, ethics and legislation, as well as practical considerations concerning investigator training, data storage, overall security and data disposal. This research surveys recent studies of residual data gathered in-the-wild and …

Bytewise Approximate Matching: The Good, The Bad, And The Unknown, Vikram S. Harichandran, Frank Breitinger, Ibrahim Baggili

Journal of Digital Forensics, Security and Law

Hash functions are established and well-known in digital forensics, where they are commonly used for proving integrity and file identification (i.e., hash all files on a seized device and compare the fingerprints against a reference database). However, with respect to the latter operation, an active adversary can easily overcome this approach because traditional hashes are designed to be sensitive to altering an input; output will significantly change if a single bit is flipped. Therefore, researchers developed approximate matching, which is a rather new, less prominent area but was conceived as a more robust counterpart to traditional hashing. Since the conception …

Security Analysis Of Mvhash-B Similarity Hashing, Donghoon Chang, Somitra Sanadhya, Monika Singh

Journal of Digital Forensics, Security and Law

In the era of big data, the volume of digital data is increasing rapidly, causing new challenges for investigators to examine the same in a reasonable amount of time. A major requirement of modern forensic investigation is the ability to perform automatic filtering of correlated data, and thereby reducing and focusing the manual effort of the investigator. Approximate matching is a technique to find “closeness” between two digital artifacts. mvHash-B is a well-known approximate matching scheme used for finding similarity between two digital objects and produces a ‘score of similarity’ on a scale of 0 to 100. However, no security …

An Automated Approach For Digital Forensic Analysis Of Heterogeneous Big Data, Hussam Mohammed, Nathan Clarke, Fudong Li

Journal of Digital Forensics, Security and Law

The major challenges with big data examination and analysis are volume, complex interdependence across content, and heterogeneity. The examination and analysis phases are considered essential to a digital forensics process. However, traditional techniques for the forensic investigation use one or more forensic tools to examine and analyse each resource. In addition, when multiple resources are included in one case, there is an inability to cross-correlate findings which often leads to inefficiencies in processing and identifying evidence. Furthermore, most current forensics tools cannot cope with large volumes of data. This paper develops a novel framework for digital forensic analysis of heterogeneous …

On Efficiency Of Distributed Password Recovery, Radek Hranický, Martin Holkovič, Petr Matoušek

Journal of Digital Forensics, Security and Law

One of the major challenges in digital forensics today is data encryption. Due to the leaked information about unlawful sniffing, many users decided to protect their data by encryption. In case of criminal activities, forensic experts are challenged how to decipher suspect's data that are subject to investigation. A common method how to overcome password-based protection is a brute force password recovery using GPU-accelerated hardware. This approach seems to be expensive. This paper presents an alternative approach using task distribution based on BOINC platform. The cost, time and energy efficiency of this approach is discussed and compared to the GPU-based …

Towards Syntactic Approximate Matching - A Pre-Processing Experiment, Doowon Jeong, Frank Breitinger, Hari Kang, Sangjin Lee

Journal of Digital Forensics, Security and Law

Over the past few years the popularity of approximate matching algorithms (a.k.a. fuzzy hashing) has increased. Especially within the area of bytewise approximate matching, several algorithms were published, tested and improved. It has been shown that these algorithms are powerful, however they are sometimes too precise for real world investigations. That is, even very small commonalities (e.g., in the header of a le) can cause a match. While this is a desired property, it may also lead to unwanted results. In this paper we show that by using simple pre-processing, we signicantly can in uence the outcome. Although our test …

The Impact Of Technology Acceptance And Openess To Innovaion On Software Implementation, Michael Marin Bertini

Walden Dissertations and Doctoral Studies

Senior management decisions to foster innovation and adopt new technology solutions have serious implications for the success of their organization change initiatives. This project examined the issue of senior management decision or reasons of their decision to adopt new Enterprise Resource Planning (ERP) systems as a solution to solve their business problems. This project investigated the degree that perceived ease of use and usefulness of the ERP system influenced decisions made by senior managers to innovate. Roger's diffusion of innovations theory and Davis technology acceptance model theory were used to predict when senior managers were open to innovation, and whether …

In God We Trust. All Others Must Bring Data. - W. Edwards Deming Using Word Embeddings To Recognize Idioms, Jing Peng, Anna Feldman

Department of Computer Science Faculty Scholarship and Creative Works

Expressions, such as add fuel to the fire, can be interpreted literally or idiomatically depending on the context they occur in. Many Natural Language Processing applications could improve their performance if idiom recognition were improved. Our approach is based on the idea that idioms violate cohesive ties in local contexts, while literal expressions do not. We propose two approaches: 1) Compute inner product of context word vectors with the vector representing a target expression. Since literal vectors predict well local contexts, their inner product with contexts should be larger than idiomatic ones, thereby telling apart literals from idioms; and (2) …

Open Data Discourse: Consumer Acceptance Of Personal Cloud: Integrating Trust And Risk With The Technology Acceptance Model, Murad Moqbel, Valerie L. Bartelt

Information Systems Faculty Publications

This paper provides the data used to analyze the conceptual replication of Pavlou (2003) by Moqbel and Bartelt (2015) which studied factors that impacted consumer’s behavioral intentions to make online transactions by integrating trust and perceived risk with the technology acceptance model (TAM). We provide a detailed description of the data so it meets the open data standards. In particular, we explain the structure of the data so that other researchers can easily analyze the same dataset to come to the same results and conclusions. Our dataset consists of 240 observations which includes the following constructs: perceived trust, perceived risk, …