No abstract

No abstract

The Internet and related technologies have enabled companies to automate almost all of their operations resulting in enhanced efficiencies and cost-effectiveness. The technologies, however, have also introduced numerous security risks. Through security risks such as Electronic Hacking (EH), individuals and companies have lost a lot of valuable data and money. In this regard, there is a need to understand the extent of the threat of EH. A comprehensive thematic review and analysis of EH with a focus on developments, evolution, challenges, prognosis, and prevalence in select institutions was thus conducted. The research involved reviewing the literature on cybersecurity and its effect on organizations' operations. The result shows that cases of security breaches and associated costs continue to increase. Over five years, the healthcare and medical institutions were the most vulnerable. They were closely followed by corporations. The implications are that as institutions become more automated, their respective degrees of cybercrime vulnerability increase. The consequences of security breaches are normally dire for companies, as well as individuals. Millions, or possibly billions, of dollars worth of data, have been lost as a result of security breaches. This trend is expected to continue in the future, as computers and Internet technologies continue to advance. Through cybercrimes, numerous companies' operations have been sabotaged, and personal information from social media and email stolen. Long term, effective and sustainable strategies are therefore required. The paper is significant because it identifies the information security risks various organizations are exposed to and strategies that organizations can use to mitigate the risks.

The research study intends to understand the thematic dynamics of the internet of things (IoT), thereby aiming to address the general objective i.e. “To explore and streamline the IoT thematic dynamics with a focus on cross-cutting data mining, and IoT apps evidence-based publication trends”. To meet this objective, secondary research has been compiled as part of the analytic process. It was found from the research that IoT continues to evolve with significant degrees of proliferation. Complementary and trailblazing data mining (DM) with more access to cloud computing platforms has catalyzed accelerating the achievement of planned technological innovations. The outcome has been myriads of apps currently used in different thematic landscapes. Based on available data on app searches by users, and between 2016 and 2019, themes like sports, supply chain, and agriculture maintained positive trends over the four years. The emerging Internet of Nano-Things was found to be beneficial in many sectors. Wireless Sensor Networks (WSNs) were also found to be emerging with more accurate and effective results in gathering information along with processing data and communication technologies. In summary, available data indicate that IoT is happening and has a significant implication on data mining. All indications suggest that it will continue to grow and increasingly affect how we interact with “things”. A backdrop of concerns exists ranging from developing standard protocols to protecting individual privacy.

The objective of the study is to conduct an exploratory review of the Covid-19 pandemic by focusing on the theme of Covid-19 pandemic morbidity and mortality, considering the dynamics of artificial intelligence and quality of life (QOL). The methods used in this research paper include a review of literature, anecdotal evidence, and reports on the morbidity of COVID-19, including the scope of its devastating effects in different countries such as the US, Africa, UK, China, and Brazil, among others. The findings of this study suggested that the devastating effects of the coronavirus are felt across different vulnerable populations. These include the elderly, front-line workers, marginalized communities, visible minorities, and more. The challenge in Africa is especially daunting because of inadequate infrastructure, and financial and human resources, among others. Besides, AI technology is being successfully used by scientists to enhance the development process of vaccines and drugs. However, its usage in other stages of the pandemic has not been adequately explored. Ultimately, it has been concluded that the effects of the Covid-19 are producing unprecedented and catastrophic outcomes in many countries. With a few exceptions, the common and current intervention approach is driven by many factors, including the compilation of relevant reliable and compelling data sets. On a positive note, the compelling trailblazing and catalytic contributions of AI towards the rapid discovery of COVID-19 vaccines are a good indication of future technological innovations and their effectiveness.