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Articles 361 - 376 of 376
Full-Text Articles in Databases and Information Systems
Effective Strategies For Managing The Outsourcing Of Information Technology, Marsha N. Hopwood
Effective Strategies For Managing The Outsourcing Of Information Technology, Marsha N. Hopwood
Walden Dissertations and Doctoral Studies
More than half of information technology (IT) outsourced projects fail, primarily due to a lack of effective management practices surrounding the outsourcing end-to-end process. Ineffective management of the IT outsourcing (ITO) process affects organizations in the form of higher than expected project costs, including greater vendor switching or reintegration costs, poor quality, and loss of profits. These effects indicate that some business leaders lack the strategies to effectively manage the ITO process. The purpose of this single-case study was to apply the transaction cost economics (TCE) theory to explore strategies 5 business professionals use to manage an ITO project in …
Organizational Information Security: Strategies To Minimize Workplace Cyberloafing For Increased Productivity, Hawazin Al Abbasi
Organizational Information Security: Strategies To Minimize Workplace Cyberloafing For Increased Productivity, Hawazin Al Abbasi
Walden Dissertations and Doctoral Studies
Productivity loss occurs in organizations that experience high levels of personal Internet use by employees on company time, which includes employees using smartphones to surf without needing the firm's Internet connection. The purpose of this qualitative phenomenological study was to explore reliable ways for organizational leaders to monitor or limit their employees' use of smartphone technology for personal use (cyberloafing) while on the job to minimize wasted work time. Social cognitive theory, which includes an emphasis on human behavioral changes based upon the environment, people, and behavior, served as the conceptual framework. The general research question was as follows: How …
Social Media Policy To Support Employee Productivity In The Finance Industry, David Shaun Rogers
Social Media Policy To Support Employee Productivity In The Finance Industry, David Shaun Rogers
Walden Dissertations and Doctoral Studies
Business leaders may see social media as a distraction for their workers; however, blocking access could lead to a reduction in productivity. Using social media technologies with knowledge workers could achieve cost reductions for payroll of 30% to 35%. The purpose of this multiple case study was to explore how business leaders used a social media policy to support employee productivity. The conceptual framework for this study was social exchange theory, which supports the notion that dyad and small group interactions make up most interactions, and such interactions enhance employees' productivity. The research question was to explore how finance industry …
205.3 The Many Shapes Of Archive-It, Shawn Jones, Michael L. Nelson, Alexander Nwala, Michele C. Weigle
205.3 The Many Shapes Of Archive-It, Shawn Jones, Michael L. Nelson, Alexander Nwala, Michele C. Weigle
Computer Science Faculty Publications
Web archives, a key area of digital preservation, meet the needs of journalists, social scientists, historians, and government organizations. The use cases for these groups often require that they guide the archiving process themselves, selecting their own original resources, or seeds, and creating their own web archive collections. We focus on the collections within Archive-It, a subscription service started by the Internet Archive in 2005 for the purpose of allowing organizations to create their own collections of archived web pages, or mementos. Understanding these collections could be done via their user-supplied metadata or via text analysis, but the metadata is …
A Survey Of Archival Replay Banners, Sawood Alam, Mat Kelly, Michele C. Weigle, Michael L. Nelson
A Survey Of Archival Replay Banners, Sawood Alam, Mat Kelly, Michele C. Weigle, Michael L. Nelson
Computer Science Faculty Publications
We surveyed various archival systems to compare and contrast different techniques used to implement an archival replay banner. We found that inline plain HTML injection is the most common approach, but prone to style conflicts. Iframe-based banners are also very common and while they do not have style conflicts, they suffer from screen real estate wastage and limited design choices. Custom Elements-based banners are promising, but due to being a new web standard, these are not yet widely deployed.
Swimming In A Sea Of Javascript Or: How I Learned To Stop Worrying And Love High-Fidelity Replay, John A. Berlin, Michael L. Nelson, Michele C. Weigle
Swimming In A Sea Of Javascript Or: How I Learned To Stop Worrying And Love High-Fidelity Replay, John A. Berlin, Michael L. Nelson, Michele C. Weigle
Computer Science Faculty Publications
[First paragraph] Preserving and replaying modern web pages in high-fidelity has become an increasingly difficult task due to the increased usage of JavaScript. Reliance on server-side rewriting alone results in live-leakage and or the inability to replay a page due to the preserved JavaScript performing an action not permissible from the archive. The current state-of-the-art high fidelity archival preservation and replay solutions rely on handcrafted client-side URL rewriting libraries specifically tailored for the archive, namely Webrecoder's and Pywb's wombat.js [12]. Web archives not utilizing client-side rewriting rely on server-side rewriting that misses URLs used in a manner not accounted for …
Client-Assisted Memento Aggregation Using The Prefer Header, Mat Kelly, Sawood Alam, Michael L. Nelson, Michele C. Weigle
Client-Assisted Memento Aggregation Using The Prefer Header, Mat Kelly, Sawood Alam, Michael L. Nelson, Michele C. Weigle
Computer Science Faculty Publications
[First paragraph] Preservation of the Web ensures that future generations have a picture of how the web was. Web archives like Internet Archive's Wayback Machine, WebCite, and archive.is allow individuals to submit URIs to be archived, but the captures they preserve then reside at the archives. Traversing these captures in time as preserved by multiple archive sources (using Memento [8]) provides a more comprehensive picture of the past Web than relying on a single archive. Some content on the Web, such as content behind authentication, may be unsuitable or inaccessible for preservation by these organizations. Furthermore, this content may be …
It Is Hard To Compute Fixity On Archived Web Pages, Mohamed Aturban, Michael L. Nelson, Michele C. Weigle
It Is Hard To Compute Fixity On Archived Web Pages, Mohamed Aturban, Michael L. Nelson, Michele C. Weigle
Computer Science Faculty Publications
[Introduction] Checking fixity in web archives is performed to ensure archived resources, or mementos (denoted by URI-M) have remained unaltered since when they were captured. The final report of the PREMIS Working Group [2] defines information used for fixity as "information used to verify whether an object has been altered in an undocumented or unauthorized way." The common technique for checking fixity is to generate a current hash value (i.e., a message digest or a checksum) for a file using a cryptographic hash function (e.g., SHA-256) and compare it to the hash value generated originally. If they have different hash …
User-Friendly Deniable Storage For Mobile Devices, Bing Chang, Yao Cheng, Bo Chen, Fengwei Zhang, Wen-Tao Zhu, Yingjiu Li, Zhan. Wang
User-Friendly Deniable Storage For Mobile Devices, Bing Chang, Yao Cheng, Bo Chen, Fengwei Zhang, Wen-Tao Zhu, Yingjiu Li, Zhan. Wang
Research Collection School Of Computing and Information Systems
Mobile devices are prevalently used to process sensitive data, but traditional encryption may not work when an adversary is able to coerce the device owners to disclose the encryption keys. Plausibly Deniable Encryption (PDE) is thus designed to protect sensitive data against this powerful adversary. In this paper, we present MobiPluto, a user-friendly PDE scheme for denying the existence of sensitive data stored on mobile devices. A salient difference between MobiPluto and the existing PDE systems is that any block-based file systems can be deployed on top of it. To further improve usability and deniability of MobiPluto, we introduce a …
Multi-Target Deep Neural Networks: Theoretical Analysis And Implementation, Zeng Zeng, Nanying Liang, Xulei Yang, Steven C. H. Hoi
Multi-Target Deep Neural Networks: Theoretical Analysis And Implementation, Zeng Zeng, Nanying Liang, Xulei Yang, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
In this work, we propose a novel deep neural network referred to as Multi-Target Deep Neural Network (MT-DNN). We theoretically prove that different stable target models with shared learning paths are stable and can achieve optimal solutions respectively. Based on GoogleNet, we design a single model with three different targets, one for classification, one for regression, and one for masks that is composed of 256 × 256 sub-models. Unlike bounding boxes used in ImageNet, our single model can draw the shapes of target objects, and in the meanwhile, classify the objects and calculate their sizes. We validate our single MT-DNN …
Anatomy Of Online Hate: Developing A Taxonomy And Machine Learning Models For Identifying And Classifying Hate In Online News Media, Joni Salminen, Hind Almerekhi, Milica Milenkovic, Soon-Gyu Jung, Haewoon Kwak, Haewoon Kwak, Bernard J. Jansen
Anatomy Of Online Hate: Developing A Taxonomy And Machine Learning Models For Identifying And Classifying Hate In Online News Media, Joni Salminen, Hind Almerekhi, Milica Milenkovic, Soon-Gyu Jung, Haewoon Kwak, Haewoon Kwak, Bernard J. Jansen
Research Collection School Of Computing and Information Systems
Online social media platforms generally attempt to mitigate hateful expressions, as these comments can be detrimental to the health of the community. However, automatically identifying hateful comments can be challenging. We manually label 5,143 hateful expressions posted to YouTube and Facebook videos among a dataset of 137,098 comments from an online news media. We then create a granular taxonomy of different types and targets of online hate and train machine learning models to automatically detect and classify the hateful comments in the full dataset. Our contribution is twofold: 1) creating a granular taxonomy for hateful online comments that includes both …
Code: Coherence Based Decision Boundaries For Feature Correspondence, Wen-Yan Lin, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip H. S. Torr, Jiangbo Lu
Code: Coherence Based Decision Boundaries For Feature Correspondence, Wen-Yan Lin, Fan Wang, Ming-Ming Cheng, Sai-Kit Yeung, Philip H. S. Torr, Jiangbo Lu
Research Collection School Of Computing and Information Systems
A key challenge in feature correspondence is the difficulty in differentiating true and false matches at a local descriptor level. This forces adoption of strict similarity thresholds that discard many true matches. However, if analyzed at a global level, false matches are usually randomly scattered while true matches tend to be coherent (clustered around a few dominant motions), thus creating a coherence based separability constraint. This paper proposes a non-linear regression technique that can discover such a coherence based separability constraint from highly noisy matches and embed it into a correspondence likelihood model. Once computed, the model can filter the …
Collaboration Patterns In Software Developer Network, Didi Surian, Ee-Peng Lim, David Lo
Collaboration Patterns In Software Developer Network, Didi Surian, Ee-Peng Lim, David Lo
Research Collection School Of Computing and Information Systems
In this entry, we mine collaboration patterns from a large software developer network (Surian et al. 2010). We consider high- and low-level patterns. High-level patterns correspond to various network-level statistics that we observe to hold in this network. Low-level patterns are topological subgraph patterns that are frequently observed among developers collaborating in the network. Mining topological subgraph patterns are difficult as it is an NP-hard problem. To address this issue, we use a combination of frequent subgraph mining and graph matching by leveraging the power law property exhibited by a large collaboration graph. The technique is applicable to any software …
Automating Ciri Ratings Of Human Rights Reports Using Gate, Joshua M. Joiner
Automating Ciri Ratings Of Human Rights Reports Using Gate, Joshua M. Joiner
UNF Graduate Theses and Dissertations
This thesis involves parsing document-based reports from the United States Human Rights Reports and rating the human practices for various countries based on the CIRI (Cingranelli-Richards) Human Rights Data Project dataset. The United States Human Rights Reports are annual reports that cover internationally recognized human rights practices regarding individual, civil, political, and worker rights. Students, scholars, policymakers, and analysts used the CIRI data for practical and research purposes. CIRI analyzed the annual reports from 1981 to 2011 and then stopped releasing the dataset for any further years, but a possible reason is due to the manual process of scouring the …
Ransomware Behavioural Analysis On Windows Platforms, Nikolai Hampton, Zubair A. Baig, Sherali Zeadally
Ransomware Behavioural Analysis On Windows Platforms, Nikolai Hampton, Zubair A. Baig, Sherali Zeadally
Research outputs 2014 to 2021
Ransomware infections have grown exponentially during the recent past to cause major disruption in operations across a range of industries including the government. Through this research, we present an analysis of 14 strains of ransomware that infect Windows platforms, and we do a comparison of Windows Application Programming Interface (API) calls made through ransomware processes with baselines of normal operating system behaviour. The study identifies and reports salient features of ransomware as referred through the frequencies of API calls
Validation Of Tagging Suggestion Models For A Hotel Ticketing Corpus, Bojan Bozic, Andre Rios, Sarah Jane Delany
Validation Of Tagging Suggestion Models For A Hotel Ticketing Corpus, Bojan Bozic, Andre Rios, Sarah Jane Delany
Conference papers
This paper investigates methods for the prediction of tags on a textual corpus that describes hotel staff inputs in a ticketing system. The aim is to improve the tagging process and find the most suitable method for suggesting tags for a new text entry. The paper consists of two parts: (i) exploration of existing sample data, which includes statistical analysis and visualisation of the data to provide an overview, and (ii) evaluation of tag prediction approaches. We have included different approaches from different research fields in order to cover a broad spectrum of possible solutions. As a result, we have …