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The role of leadership styles, organizational culture, and knowledge management in higher education institutions (HEI)
No full textKnowledge management (KM) strategies adopted by universities are either inadequate or inconsistent. Minimal research has explored the link between KM enablers and the effective implementation of KM in the context of HEI. This empirical study aims to investigate the relationship between transformational leadership, transactional leadership, organizational culture, KM effectiveness and organizational performance. The research employs structural equation modeling using Partial Least Square (SEM-PLS) to study the underlying relationships. Key findings suggest that organizational culture and transformational leadership contributed to KM effectiveness and that KM is essential for improving the performance of higher education institutions
Detection of Prostate Cancer Using Machine Learning Techniques: An Exploratory Study
Get PDFProstate Cancer (PCa) is one of the most frequent cancers worldwide and the most common cancer in males. Testing for PCa remains problematic. Evidence is mounting that overdiagnosis and over-treatment can result in adverse side-effects yet have little impact in preventing death from PCa. Consequently, the importance of predictive tools that help physicians in the diagnosis of the condition cannot be understated. Though there exist several predictive models for the detection of clinically significant PCa, these models mainly depend on logistic regression. The objective of this research is to investigate the potential of various machine learning techniques to improve the sensitivity and specificity of detecting clinically significant PCa. Risk factors considered include prostate-specific antigen (PSA), digital rectal examination (DRE), as well as age, race/ethnicity, and family history. According to the results, Logistic Regression has outperformed all the models followed by Random Forest, SVM and XG Boost
Detection Of VulnerabilitIies in 5G Femtocell Firmware Using Static Analysis Tools
Get PDFThe purpose of this study is to support fifth generation (5G) wireless network security by identifying vulnerabilities in 5G femtocell firmware. It addresses the problem of whether 5G femtocells are shipped to customers with firmware that contains vulnerabilities. This is a subproblem of supply chain security. The problem is significant because exploitation of latent vulnerabilities in the firmware of 5G network access points (such as femtocells) could compromise the security of network communications.
This study employs a design science research methodology consisting of a quasi-experiment which applies static analysis tools to 5G femtocell firmware samples. It seeks to answer the research question “can security vulnerabilities in 5G femtocell firmware be detected
by static analysis tools?”. The presence of vulnerabilities would imply that the firmware is insecure. This question directly supports the purpose of this research.
The quasi-experiment applied four commercially available static analysis security tools to five 5G femtocell firmware samples harvested from used 5G equipment. The static analysis tools were able to identify several known CVEs in each firmware sample. To lessen the chances of reporting false positives, each CVE reported by the tools was assigned a “confidence rating” corresponding to the number of tools reporting the presence of that CVE. The study found several CVEs in each firmware sample with confidence ratings of 1.0 (i.e., every tool in the study had reported the presence of that CVE). Further, many of these CVEs were publicly documented prior to the deployment of the firmware into the field. Because of these findings, the study was able to answer the research question in the affirmative
Science Fiction Media’s Influence on Public Perceptions of AI and Technology
Get PDFScience fiction has influenced many aspects of society, most notably impacting the field of technology since the mid-1900s. For many years, this genre has prompted researchers to explore new ideas and research different areas of technology. However, the fast-paced advancement of the technological industry has caused many misconceptions to emerge regarding new technology. In addition, the use of sci-fi media may further exacerbate public misconceptions since this media may not contain factual information regarding current technology. One subsection of the technological field, Artificial Intelligence (AI), is particularly subjected to misconceptions due to this disconnect between facts and media. Some scholars have traced these misconceptions back to sci-fi media. Thus, some hypothesize that sci-fi media may negatively impact the public’s thoughts on AI research due to the fictitious, hyperbolic nature of this genre. Although the AI field is well-documented, few scholarly studies have analyzed the source of the public’s perception of AI, nor have they determined if sci-fi media is a potential source for these perceptions. This paper seeks to determine whether an influential connection exists between sci-fi media and public perceptions of AI, and to identify whether this impact is positive or negative. This paper will open with an analysis of existing literature regarding the connection between general and sci-fi media and public perceptions, as well as discuss the common misconceptions concerning AI. The following section will provide a brief definition of AI and will be succeeded by an in-depth analysis of the various factors which may contribute to public perceptions of AI. Next, this paper will conduct a comparative analysis of cultural concerns and sci-fi media throughout history. Ethical concerns are the linking element between sci-fi media and public misconceptions of AI; therefore, the following section will highlight the prominent ethical issues regarding AI and will investigate whether this could have an impact on public perceptions of AI. This paper will conclude with a discussion regarding the impact of sci-fi media on public attitudes towards AI and will determine if this influence is positive or negative
Student Privacy and Learning Analytics: Investigating the Application of Privacy within A Student Success Information System in Higher Education
Get PDFThis single-site case study will seek to answer the following question: how is the concept of privacy addressed in relation to a student success information system within a small, public institution of higher education? Three themes were found within the inductive coding process, which used interviews, documentation, and videos as data resources. Overall, the case study shows an institution in the early stages of implementing a commercial learning analytics system and provides suggestions for how it can be more proactive in implementing privacy considerations in developing policies and procedures
BAMBI: Bluetooth Access Management & Beacon Identification
Get PDFCybersecurity is a constantly developing field. Patches that secured yesterday’s technology do not safeguard against occurring threats, necessitating continuous research in the field. The outbreak of Bluetooth Low Energy (BLE) devices dramatically expands the attack surface. BLE is one of the most widely applicable low-power connectivity standards. The low cost, low power consumption, and ready availability of BLE modules have made them a popular wireless technology for Internet of Things (IoT) devices and power constrained applications. However, the deployment of BLE-enabled devices enlarges the network attack surface. In spite of that, access management is insufficient for Bluetooth Low Energy devices. To elucidate, understanding the difference between known and unknown, malicious and non-malicious devices within a perimeter can be crucial in today’s cyberspace. This research proposes an approach called BAMBI - Beacon Access Management and Beacon Identification, which sought to develop an efficient, accurate, and easy-to implement solution for device/beacon identification and access management. The proposed solution, BAMBI, addresses these areas for the Bluetooth Low Energy Protocol. There are a few components to BAMBI that make up this solution. Device Identification, Device Classification, and Access Management are components that make BAMBI the first of its kind for the BLE protocol. Although this research is limited to the BLE protocol, it does introduce avenues for other connectivity standards such as Zig-bee and Bluetooth to adapt without much overhead
Token Based Authentication and Authorization with Zero-Knowledge Proofs for Enhancing Web API Security and Privacy
Get PDFThis design science study showcases an innovative artifact that utilizes Zero-Knowledge Proofs for API Authentication and Authorization. A comprehensive examination of existing literature and technology is conducted to evaluate the effectiveness of this alternative approach. The study reveals that existing APIs are using slower techniques that don’t scale, can’t take advantage of newer hardware, and have been unable to adequately address current security issues. In contrast, the novel technique presented in this study performs better, is more resilient in privacy sensitive and security settings, and is easy to implement and deploy. Additionally, this study identifies potential avenues for further research that could help advance the field of Web API development in terms of security, privacy, and simplicity
Testing Quantum Computers for Functioning Quantum Hardware
Get PDFIf a business was selling quantum computing as a service (QCaaS), how would an end user of the quantum computer know if it was truly quantum? Answering this question involves looking into what differentiates a quantum computer from a classical computer and then understanding how an end user can make a conclusion on what they are operating from. Testing quantum computers from the inside is only valuable for primitive quantum computers, since quantum computers with high numbers of qubits become virtually impossible to accurately simulate with classical computer mechanics. Assuming that visual appearance and exterior hardware do not play a role in identifying quantum computing capacity, properly identifying a quantum computer relies on internal testing alone
Defining A Cyber Operations Performance Framework Via Computational Modeling
Get PDFCyber operations are influenced by a wide range of environmental characteristics, strategic policies, organizational procedures, complex networks, and the individuals who attack and defend these cyber battlegrounds. While no two cyber operations are identical, leveraging the power of computational modeling will enable decision-makers to understand and evaluate the effect of these influences prior to their impact on mission success. Given the complexity of these influences, this research proposes an agent-based modeling framework that will result in an operational performance dashboard for user analysis. To account for cyber team behavioral characteristics, this research includes the development and validation of the Cyber Operations Self-Efficacy Scales (COSES). The underlying statistics, algorithms, research instruments, and equations to support the overall framework are provided. This research represents the most comprehensive cyber operations agent-based performance analysis tools published to date