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A Clustering and Treemap-based Approach for Query Reuse and Visualization in Large Data Repositories
Get PDFTraversing NAT: A Problem
Get PDFThis quasi-experimental before-and-after study measured and analyzed the impacts of adding security to a new bi-directional Network Address Translation (NAT). Literature revolves around various types of NAT, their advantages and disadvantages, their security models, and networking technologies’ adoption. The study of the newly created secure bi-directional model of NAT showed statistically significant changes in the variables than another model using port forwarding. Future research of how data will traverse networks is crucial in an ever-changing world of technology
CHDA CERTIFICATION EXAM SUCCESS FACTORS
Get PDFThis study explored possible success factors for passing the Certified Health Data Analyst Administration (CHDA) certification exam. According to the American Health Information Management Association (AHIMA), in 2019, only 10 percent of first-time test-takers passed the CHDA exam. Literature review offered insight into factors related to passing certification exams. Sources included existing, relevant peer-reviewed, and published literature since 1990 within 87 educational and health/medicine databases and 62 other articles and journal databases available at the University of South Dakota library. A correlational design was used in the study. Data was retrieved from AHIMA, cleaned, and data analysis was completed using binary logistic regression analysis.
The CHDA study results indicate that candidates between ages 30 and 49 are less likely to pass the exam than those ages 50 and above, and those candidates with a master\u27s degree are more likely to pass the exam than those with an associate or bachelor\u27s degree. This new information will help improve the exam pass rates, provide a foundation for CHDA exam research, and add new knowledge in the HIM professional body of research
IPCFA: A Methodology for Acquiring Forensically-Sound Digital Evidence in the Realm of IAAS Public Cloud Deployments
Get PDFCybercrimes and digital security breaches are on the rise: savvy businesses and organizations of all sizes must ready themselves for the worst. Cloud computing has become the new normal, opening even more doors for cybercriminals to commit crimes that are not easily traceable. The fast pace of technology adoption exceeds the speed by which the cybersecurity community and law enforcement agencies (LEAs) can invent countermeasures to investigate and prosecute such criminals. While presenting defensible digital evidence in courts of law is already complex, it gets more complicated if the crime is tied to public cloud computing, where storage, network, and computing resources are shared and dispersed over multiple geographical areas. Investigating such crimes involves collecting evidence data from the public cloud that is court-sound. Digital evidence court admissibility in the U.S. is governed predominantly by the Federal Rules of Evidence and Federal Rules of Civil Procedures. Evidence authenticity can be challenged by the Daubert test, which evaluates the forensic process that took place to generate the presented evidence.
Existing digital forensics models, methodologies, and processes have not adequately addressed crimes that take place in the public cloud. It was only in late 2020 that the Scientific Working Group on Digital Evidence (SWGDE) published a document that shed light on best practices for collecting evidence from cloud providers. Yet SWGDE’s publication does not address the gap between the technology and the legal system when it comes to evidence admissibility. The document is high level with more focus on law enforcement processes such as issuing a subpoena and preservation orders to the cloud provider.
This research proposes IaaS Public Cloud Forensic Acquisition (IPCFA), a methodology to acquire forensic-sound evidence from public cloud IaaS deployments. IPCFA focuses on bridging the gap between the legal and technical sides of evidence authenticity to help produce admissible evidence that can withstand scrutiny in U.S. courts. Grounded in design research science (DSR), the research is rigorously evaluated using two hypothetical scenarios for crimes that take place in the public cloud. The first scenario takes place in AWS and is hypothetically walked-thru. The second scenario is a demonstration of IPCFA’s applicability and effectiveness on Azure Cloud. Both cases are evaluated using a rubric built from the federal and civil digital evidence requirements and the international best practices for iv digital evidence to show the effectiveness of IPCFA in generating cloud evidence sound enough to be considered admissible in court
Isolation and characterization of Pythium spp. from South Dakota soils under commerial alfalfa production
Get PDFAlfalfa is a significant crop in South Dakota that provides many different benefits for its growers. South Dakota plants the most acres of alfalfa in the United States. It is used as a protein-rich feed for livestock, a cover crop that protects against soil erosion, and a natural fertilizer because of its ability to fix nitrogen in the soil. However, alfalfa seedlings are susceptible to many diseases. Pythium root and seed rot is one disease known to have devastating effects on alfalfa field establishment and yield. Pythium species are oomycete pathogens that inhabit the soil and remain present and pathogenic as oospores. Pythium diseases of alfalfa cause reduced root systems, plant size, length, and growth rate. Pythium management is centered on fungicidal seed treatments. There have been recent reports of Pythium spp. infecting alfalfa across the world in places like Sudan and China, but current research in South Dakota is needed. In our research, we isolated Pythium spp. from Lake County South Dakota soils under commercial alfalfa production. We also characterized these isolates with a DNA sequencing analysis and evaluated the isolates for fungicide sensitivity. This summer, we will conduct a statewide Pythium disease survey and assess the collected isolates for fungicide sensitivity and pathogenicity towards various commercial lines of alfalfa. This research will provide growers with the information necessary to make educated decisions in order to increase yields and maximize their profits
Efficacy of Incident Response Certification in the Workforce
Get PDFNumerous cybersecurity certifications are available both commercially and via institutes of higher learning. Hiring managers, recruiters, and personnel accountable for new hires need to make informed decisions when selecting personnel to fill positions. An incident responder or security analyst\u27s role requires near real-time decision-making, pervasive knowledge of the environments they are protecting, and functional situational awareness. This concurrent mixed methods paper studies whether current commercial certifications offered in the cybersecurity realm, particularly incident response, provide useful indicators for a viable hiring candidate.
Managers and non-managers alike do prefer hiring candidates with an incident response certification. Both groups affirmatively believe commercial cybersecurity certified job candidates with that same certification can update, modify, and improve the incident response process. The reasoning for this belief is focused more on tie-breaking and common parlance within the information security analyst domain and less on the ability to perform the job. A practical component within the certification process is valuable, and networking expertise is the primary interest of those seeking qualified incident responders. The qualitative component highlighted soft-skills, such as communication, enthusiasm, critical thinking, and awareness, as sought-after abilities lacking in certification offerings covered within this study
A Systematic Mapping Study of Access Control in the Internet of Things
No full textInternet of Things (IoT) provide wide range of services in both domestic and industrial environments. Access control plays a crucial role as to granting access rights to users and devices when an IoT device is connected to a network. Over the years, traditional access control models such as RBAC and ABAC have been extended to the IoT. Additionally, several other approaches have also been proposed for the IoT. This research performs a systematic mapping study of the research that has been conducted on the access control in the IoT. Based on the formulated search strategy, 1,617 articles were collected and screened for review. The systematic mapping study conducted in the paper answers three research questions regarding the access control in the IoT, i.e., what kind of access control related concerns have been raised in the IoT so far? what kind of solutions have been presented to improve access control in the IoT? what kind of research gaps have been identified in the access control research in the IoT? To the best of our knowledge, this is the first systematic mapping study performed on this topic
A Consent Framework for the Internet of Things in the GDPR Era
Get PDFThe Internet of Things (IoT) is an environment of connected physical devices and objects that communicate amongst themselves over the internet. The IoT is based on the notion of always-connected customers, which allows businesses to collect large volumes of customer data to give them a competitive edge. Most of the data collected by these IoT devices include personal information, preferences, and behaviors. However, constant connectivity and sharing of data create security and privacy concerns. Laws and regulations like the General Data Protection Regulation (GDPR) of 2016 ensure that customers are protected by providing privacy and security guidelines to businesses. Data subjects (users) should be informed on what information is being collected about them and if they consent or not. This dissertation proposes a consent framework that consists of data collection, consent collection, consent management, consent enforcement, and consent auditing. In the framework, there are GDPR requirements embedded in different components of the framework. The consent framework can help organizations to be GDPR consent compliant. In our evaluation of the solution, the results show that our solution has coverage over GDPR consent based on our use case. Our main contributions are the consent framework, consent manager, and the consent auditing tool
Understanding Design Features for Continued Use of Wearables Devices
No full textWearable devices are receiving significant attention in the wearable technology domain. Despite considerable attention and an initial healthy uptake by users, retention (or continued use) remain elusive. A gap exists with respect to the understanding of design features influencing continued and sustained use. Accordingly, this study focuses on continuance intention with a particular emphasis on design features. The underlying model builds on the Expectation-Confirmation Model (ECM) to explore features such as trust, readability, dialogue support, personalization, device battery, appeal, and social support that may explain the continuance intention of wearables. Partial least squares (PLS) was used to estimate the model. The results support the hypotheses in ECM and show that design features such as dialogue support, device battery, and appeal are significant in explaining confirmation. Readability and personalization were not supported. The findings complement prior research studying continuous use intention with a focus on pertinent device characteristics
