Certifications in Cybersecurity Workforce Development

The workforce demand for cybersecurity professionals has been substantial and fast growing. Qualified cybersecurity professionals with appropriate knowledge, skills, and abilities for various tasks and job roles are needed to perform the challenging work of defending the cyber space. The certified information systems security professional (CISSP) certification is a globally recognized premier cybersecurity credential and validation of qualifications. This case study analyzes the CISSP certification requirements, domains and objectives and attempts to map them to the cybersecurity industry competencies and the US national cybersecurity workforce framework (NCWF). This research is an extended study with full mapping of all CISSP domain areas to the knowledge, skills, and abilities in NCWF. The extended study aims to discover the in-depth value and role of reputable certifications such as CISSP in competency development for cybersecurity workforce. This article also discusses the value and implications of the CISSP certification on cybersecurity education and training.

Teaching Graduate Technology Management Students With Innovative Learning Approaches Around Cybersecurity

Every year in the U.S., 40,000 jobs for information security analysts go unfilled, and employers are struggling to fill 200,000 other cybersecurity related roles. Colleges and universities have created certificates, undergraduate, and graduate programs to train professionals in these job roles. This issue becomes more complicated when you explore the that competent workers in this field need more than just book knowledge to be effective. Engaged and experiential learning approaches encourages experimentation and expanding teaching cybersecurity beyond the use of just classroom lectures, textbooks, and PowerPoint slides. The use of experiential and scenario-based learning approaches helps students to develop real-world problem solving and critical thinking skills that demonstrate expertise beyond course grades and degrees. Developing the ability to strategic and adaptive is vital to be effective. This case study research intends not to reconstitute theory but to influence the practice of cybersecurity education through the use of innovative applied and engaged learning approaches.

Sistem Pendukung Keputusan Kenaikan Jabatan Pada PT. Bogowonto Primalaras Menggunakan Metode Profile Matching Berbasis Web

One of the main factors in achieving effective and efficient performance isattention to human resources. Having reliable and truly appropriate human resourceswith needs is the hope of every manager. The company needs employees with the appropriate abilities with job roles. As for the position of PT. Bogowonto Primalaras still uses a work period limit where employees cannot fill vacant positions at any time, based on the criteria of tenure an employee fulfills the term of service that is in accordance with his expectations. where on assessment in absenteeism is carried out by collecting daily report data that makes HRD send one by one who has sent the daily report. Where is the report related to the productivity criteria of an employee who has reached the target or not.

User and Systems Requirement Framework for Electronic Land Registration Systems Decentralisation in Ghana

Although land registration systems are constantly changing based on entrenched institutional frameworks, they cannot fulfill their technical objectives. Technical designs based on loopholes in the existing land registration system are the common steps in advanced countries. However, the missing link between the implementation of technical designs and their uses and users, affect the prospects of land registration decentralisation in developing countries. User and System requirements are used to integrate and enhance land registration services delivery across land information systems. This study assesses and develops framework for decentralised electronic land registration systems in Ghana. Semi-structured interviews were used to collect user and system requirement data from clients and technical staff of the Lands Commission in Accra. The framework pointed out five main policy outline strategies. These include land registration process modeling (process reduction and turnaround time monitoring), technical function (file tracking), the effect of changes in the registration loupe and absorption of land registration report, land registration workflow improvement, and the use of aerial images. The study recommends a systemic monitoring and evaluation of staff job roles.

EEG Based Aptitude Detection System for Stress Regulation in Health Care Workers

Stress is a complex multifaceted concept that is the result of adverse or demanding circumstances. Workers, especially health care workers, suffer significantly from distress, burnout, and other physical illnesses such as hypertension and diabetes caused by stress. Numerous stress detection systems are realized but they only help in detecting the stress in early stages, and, for regularizing it, these systems employ other means. These systems lack any inherent feature for regularization of stress. In contributing toward this aim, a novel system “EEG-Based Aptitude Detection System” is proposed. This system will help in considering working aptitude of employees working in work places with an intention to help them in assigning proper job roles based on their working aptitude. Selection of right job role for workers not only helps in uplifting productivity but also helps in regulating stress level of employees caused by improper job role assignments and reduces fatigue. Being able to select right job role for workers will help them in providing productive working environment. This paper presents detail layered architecture, implementation details, and outcomes of the proposed novel system. Integration of this system in work places will help supervisors in utilizing the human resource more suitably and will help in regulating stress related issues with improvement in overall performance of entire office. In this work, different implementation architectures based on KNN, SVM, DT, NB, CNN, and LSTM are tested, where LSTM has provided better results and achieved accuracy up to 94% in correctly classifying an EEG signal. The rest of the details can be seen in Sections 3 and 5.

Twitch the Corporate Green Tale - An Empirical Study on the Learning Styles to Enhance Green Supply Chain Practices

<p>With an increasing awareness of environmental impacts, corporates are migrating from traditional supply chain operations to green supply chain operations. In this endeavor of corporate greening, employees’ roles and functions are transformed to become extensions of learning roles to enhance green practices. The employees, through their job roles, are receptive to learning about green supply chain practices in different ways through different learning styles. Understanding which learning style enhances green supply chain practices in the organization will be beneficial to structure appropriate learning interventions. For this study, 12 manufacturing companies were selected based on convenience sampling. In total, 270 respondents were chosen based on disproportionate stratified random sampling from 12 manufacturing companies through questionnaire. Bayesian Linear Regression was performed on the data collected. This empirical study establishes that employees’ learning styles can play a pertinent role in enhancing green practices in organizations. The learning styles drive, support and exploit the full-fledged potential of Green Procurement and Green Manufacturing practices but no significant impact on Green Distribution and Reverse Logistics. The understanding derived from the analysis is depicted as ‘Learn and Act’ Cycle of green supply chain practices.</p>

Employee Attrition Dashboard Using Tableau

Tableau is a powerful and fastest growing data visualization tool used in the Business Intelligence Industry. It helps in simplifying raw data in a very easily understandable format. It also allows non-technical users to create customized dashboards. The purpose of this paper is to visualize and analyse the employee attrition rate using the Tableau visualization tool by considering various important factors that play crucial role in affecting the attrition rate. In order to visualize and predict the attrition rate of employees of an organization, we proposed an intelligent, flexible and effective system that helps the managers to identify the valuable employee and try to retain them. The attrition rate can be analysed based on various factors such as job roles, years since last promotion, gender and number of companies worked. Keywords: Employee Attrition, Tableau, Attrition Analysis, Visualization, Employee Turnover, Dashboards

"The vaccination is positive; I don't think it's the panacea": A qualitative study on COVID-19 vaccine attitudes among ethnically diverse healthcare workers in the United Kingdom

Background Globally, healthcare workers (HCWs) are prioritised for receiving vaccinations against the coronavirus disease-2019 (COVID-19). Previous research has shown disparities in COVID-19 vaccination uptake among HCWs based on ethnicity, job role, sex, age, and deprivation. However, vaccine attitudes underpinning these variations are yet to be fully explored. Methods We conducted a qualitative study with 164 HCWs from different ethnicities, sexes, job roles, migration statuses, and regions in the United Kingdom (UK). Interviews and focus groups were conducted using Microsoft Teams or telephone, and recorded with participants' permission. Recordings were transcribed and thematically analysed following an inductive approach. Findings We conducted an in-depth analysis of 53 randomly selected transcripts (involving 82 participants) to generate rapid evidence. Four different vaccine attitudes were identified: Active Acceptance, Passive Acceptance, Passive Decline, and Active Decline. Factors influencing vaccine acceptance include: knowledge of vaccine; risk perception; positive attitude towards other vaccines; social influences; and considerations about the future. Correspondingly, barriers to vaccine acceptance were identified as, low trust in the vaccine and historical (mis)trust, inadequate communication, and inequities in delivery and access. Opinion on mandatory vaccination was divided. Interpretation Our data show that vaccine attitudes are diverse and elements of hesitancy may remain even after vaccine acceptance. This has implications for the sustainability of the vaccine programme, particularly as new components (e.g. boosters) are being added. Based on our findings we recommend trust-building, designing inclusive and accessible information, and addressing structural inequities for improving vaccine uptake among HCWs. Funding UKRI-MRC and NIHR.

Assessment strategies and employability in the environmental and engineering sectors

This case study builds on material presented at the HEA Advance STEM conference held in Birmingham, England, in January 2019 which raised the issue of assessment strategies, suggesting that, for example, examinations do little to prepare students for the workplace. The initial research has been developed to provide an analysis of the current assessments in ecology/environmental management and civil engineering and the relevance to the tasks new entrants carry out in their roles as young professionals. We have developed our initial research, carried out in spring/early summer 2019, to explore this in more depth, using a survey to investigate early career professionals’ perceptions of the usefulness of the various types of assessment they experienced at university and to the requirements of their jobs. At the same time, we asked the employers of graduate ecologists/environmental managers and civil engineers how well prepared they feel graduate entrants are for their job roles and whether they are finding it difficult to recruit applicants with the appropriate competency, with respect to both transferable and technical skills. We argue that greater links and communication between employers and education providers would benefit the employability outcomes for graduates and ease the transition between university and the workplace and we make recommendations for competency-based assessment strategies. This research was supported by the University of Greenwich Learning and Teaching Fund.

Integrating machine learning and blockchain to develop a system to veto the forgeries and provide efficient results in education sector

Although the education sector is improving more quickly than ever with the help of advancing technologies, there are still many areas yet to be discovered, and there will always be room for further enhancements. Two of the most disruptive technologies, machine learning (ML) and blockchain, have helped replace conventional approaches used in the education sector with highly technical and effective methods. In this study, a system is proposed that combines these two radiant technologies and helps resolve problems such as forgeries of educational records and fake degrees. The idea here is that if these technologies can be merged and a system can be developed that uses blockchain to store student data and ML to accurately predict the future job roles for students after graduation, the problems of further counterfeiting and insecurity in the student achievements can be avoided. Further, ML models will be used to train and predict valid data. This system will provide the university with an official decentralized database of student records who have graduated from there. In addition, this system provides employers with a platform where the educational records of the employees can be verified. Students can share their educational information in their e-portfolios on platforms such as LinkedIn, which is a platform for managing professional profiles. This allows students, companies, and other industries to find approval for student data more easily.