A deeper look into cybersecurity issues in the wake of Covid-19: A survey

Alawida, Moatsum; Omolara, Abiodun Esther; Abiodun, Oludare Isaac; Al-Rajab, Murad

doi:10.1016/j.jksuci.2022.08.003

Cited by 52 publications

(41 citation statements)

References 54 publications

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“…In recent years, cybercrime has become one of the most crucial points circulated between companies, organizations, and individuals, which is considered one of the most serious crimes [1] [2]. These crimes pursue to steal data and change the course of computers by manipulating systems and changing protection programs.…”

Section: Introductionmentioning

confidence: 99%

Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime

2023

ijcsm

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Today, cybersecurity is considered one of the most noteworthy topics that are circulated frequently among companies in order to protect their data from hacking operations. The emergence of cyberspace contributed to the growth of electronic systems. It is a virtual digital space through which interconnection is established between computers and smartphones connected within the Internet of Things environment. This space is critical in building a safe digital environment free of threats and cybercrime. It is only possible to make a digital environment with the presence of cyberspace, which contains modern technologies that make this environment safe and far from unauthorized individuals. Cybersecurity has a wide range of challenges and obstacles in performance, and it is difficult for companies to face them. In this report, the most significant practices, sound, and good strategies will be studied to stop cybercrime and make a digital environment that guarantees data transfers between electronic devices safely and without the presence of malicious software. This report concluded that the procedures provided by cybersecurity are required and must be taken care of and developed.

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Section: Introductionmentioning

confidence: 99%

Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime

2023

ijcsm

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“…Some research has paid specific attention to the subject of cybersecurity in the post COVID-19 era. For example, Alawida et al (2022) reviewed and examined the effect of cybersecurity on organizations during the global COVID-19 crisis. Others have focused on various areas of digital transformation, such as cybersecurity in blockchain-based systems (Schlatt et al, 2022), big data analytics (Rawat, Doku & Garuba, 2021), machine learning (Aiyanyo, Samuel & Lim, 2020) and the Internet of things (Rudenko et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Cybersecurity in Digital Transformation applications: Analysis of Past Research and Future Directions

Belkhamza

2023

iccws

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The term digital is often used to indicate the changes occurring in today’s world, generally referred to as a cyber-physical system, driven by the rapid adoption of digital technologies, where the cyber and the physical worlds are partly overlapping. Digital transformation refers to the integration of the digital technology of the cyber world into all physical domains. These cyber-physical systems must be secure against the threat of cyberattacks. However, one of the most challenging aspects of cybersecurity is the evolving nature of cyberattack risks, which is highly integrated with digital transformation. Despite a number of published articles, there is little investigation of past literature analysis that presents digital transformation applications and cybersecurity trends. The objective of this paper is to provide an intensive examination of digital transformation applications and cybersecurity research between 2019 and 2022, to detect the most profound research areas, emphasize existing challenges and identify patterns, tendencies or regularities existing in the literature in terms of technological applications. This aims to support scholars with a comprehensive understanding of the past, present and future directions of this research trend. To achieve these objectives, a systematic literature review is utilized. The findings introduce several implications for the present state of the literature, apparent study gaps and several research questions, which can be explored in future research.

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“…The objective of this scheme can define in two different ways. One is to alarm the operators about the label of vulnerabilities that can harm their confidentiality [6]- [9]. The second focuses on organizations finding and releasing new patches that could eliminate the security fails from their packages.…”

Section: Introductionmentioning

confidence: 99%

Adaptation issues of machine learning in safety digitization

Panigrahi

Barpanda

Anitha³

et al. 2023

IJEECS

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<span lang="EN-US">The internet community is the only set of irreplaceable spaces in today’s world and is used by millions for knowledge acquittance via the digital exchange between the landed gentry. The torrent of available e-contents in the Internet community attracts corporates and researchers to find the factual weightage of formed data. It is high time for digital diversification, which is the objective of using various learning-based machine learning (ML) systems for hands-on fortification. The main idea is to make stylistic communication more understandable. Here, the authors try to adapt the factual weightage procedure of formed data through the Internet community using machine learning schemes. Hence, the authors have chosen to emphasize cyber security, which is not well discussed and concerned with ethical contemplation from hackers' forums amidst internet communities. There are disparities in the continual growth of connotations, acronyms, spellings, and even technical jargon, which need periodic re-learning and their prototype implications through the proposed model.</span>

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A deeper look into cybersecurity issues in the wake of Covid-19: A survey

Cited by 52 publications

References 54 publications

Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime

Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime

Cybersecurity in Digital Transformation applications: Analysis of Past Research and Future Directions

Adaptation issues of machine learning in safety digitization

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