Cybersecurity threats in cloud computing

Jang-Jaccard, Julian; Nepal, Surya; Guo, Yajuan

doi:10.7790/ajtde.v1n1.4

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…Figure 2 illustrates the thematic areas that emerged from analysis of the extracted studies. Thematic areas that still prevalent in cybersecurity cloud-based online learning area: data access (confidentiality), data accuracy (integrity), data accessible to rightful people who need it (availability), privacy paradox, authentication, identification, trust, exploits, vulnerabilities, threats, cybersecurity behavior analysis, cybersecurity awareness, system thinking cybersecurity, information security and cybersecurity policies, and attacks (flooding, blocking, blended) [8][9][10][11][12][13][14][15][16][17][18][19][20]. For example, flooding attack creates numerous requests in the form of small messages which block the entire season preventing the cloud-based client (student/lecturer/administrator) from obtaining access.…”

Section: Research Reportmentioning

confidence: 99%

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Cybersecurity Cloud-Based Online Learning: A Literature Review Approach

Malele

2023

J. Inf. Syst. Informatics

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Cloud-based online learning is the electronic learning activity that supports teaching and learning (T&L) that could be done from anywhere and in the world. Some of its benefits are scalability and affordability that could in a decision-making support on the mechanisms of material selection. Cloud computing has been adopted by most universities around the world. In this regard, lecturers and students will use it to facilitate T&L; however, due to concerns of information technology or systems security, cloud-based online learning users are also not immune. In this regard, the users could be affected by different cybersecurity attacks. In this paper, a systematic literature review method was used to sift the different models and solutions used to address the cybersecurity concerns surrounding cloud-based online learning. A brief Likert-scale questionnaire was used to obtained data that could corroborate the systematic literature findings. In this regard, a group of 20 online learning designers were sampled as participants. It was found that the confidentiality, integrity, and availability issues are a concern. This led to issues of security awareness, authentication and blended attacks being issues. In this regard, a cloud-based online learning model is not immune from security issues. In this paper, a conceptual framework as the line-of-defense is proposed as a solution towards having a cybersecure cloud based online learning.

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Section: Research Reportmentioning

confidence: 99%

“…Furthermore, SaaS security issue talks to the idea that it must provide integrity. confidentiality and availability across all software application [8]. The most important component is user verification, as the administration of passwords might damage security.…”

Section: Introductionmentioning

confidence: 99%

Cybersecurity Cloud-Based Online Learning: A Literature Review Approach

Malele

2023

J. Inf. Syst. Informatics

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Cybersecurity in digital epoch: Emerging threats and modern defense techniques

Gupta¹,

Pathak²

2022

Industrial, Mechanical and Electrical Engineering

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A New Cybersecurity Approach for Protecting Cloud Services against DDoS Attacks

El-Sofany¹

2020

IJIES

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Cybersecurity of cloud services is extremely important, especially when developing web services and cloud apps. Cloud computing depends on internet connections; therefore, the security of its services is constantly under attack. Distributed Denial of Service (DDoS) attacks are a malicious attempt to damage the normal traffic of the targeted cloud by flooding it with internet traffic. As a result, this causes a serious problem for cloud computing security. The objectives of this paper are, to introduce a new cybersecurity approach for protecting cloud services against all types of DDoS attacks, to evaluate the performance and effectiveness of the proposed algorithm, and to use the contribution of correlation coefficient analysis for validating the effectiveness of the proposed approach by identifying the relationship between malicious and legitimate traffic. The researcher evaluated the performance of the proposed approach in terms of accuracy, sensitivity, and specificity. The feedback of the experiments was highly promising for protecting cloud services against DDoS Attacks. The experiments showed encouraging results for preventing DDoS attacks, with an average performance of 95.41%, an average accuracy of 96.53%, an average sensitivity of 92.31%, and an average specificity of 97.39%.

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Cybersecurity threats in cloud computing

Cited by 4 publications

References 29 publications

Cybersecurity Cloud-Based Online Learning: A Literature Review Approach

Cybersecurity Cloud-Based Online Learning: A Literature Review Approach

Cybersecurity in digital epoch: Emerging threats and modern defense techniques

A New Cybersecurity Approach for Protecting Cloud Services against DDoS Attacks

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