Preprint Review Version 1 This version is not peer-reviewed

Ensuring Educational Ecosystem Resilience: Safeguarding the Learning Landscape through IEEE Methodologies

Version 1 : Received: 5 September 2024 / Approved: 5 September 2024 / Online: 6 September 2024 (09:32:21 CEST)

How to cite: Biplob, M. B.; Faysal, A.; Akther, M. Ensuring Educational Ecosystem Resilience: Safeguarding the Learning Landscape through IEEE Methodologies. Preprints 2024, 2024090490. https://doi.org/10.20944/preprints202409.0490.v1 Biplob, M. B.; Faysal, A.; Akther, M. Ensuring Educational Ecosystem Resilience: Safeguarding the Learning Landscape through IEEE Methodologies. Preprints 2024, 2024090490. https://doi.org/10.20944/preprints202409.0490.v1

Abstract

Because the integrity, availability, and confidentiality of digital assets are so important, cybersecurity is key to both the education sector and the critical infrastructure sector. This article investigates the state of cybersecurity in education, emphasizing strategies for securing the classroom against cyberattacks. We go over important subtopics including risk assessment, putting security measures in place, and incident response preparation. Furthermore, we examine how industry-academia partnerships might improve cybersecurity resilience. We also explore cybersecurity for critical infrastructure, stressing the need for risk assessment, security control implementation, and incident reaction and recovery planning. We introduce subtopics such as public-private partnerships in critical infrastructure protection and continuous monitoring and threat detection systems. By use of an extensive examination, this article seeks to provide perspectives on efficacious cybersecurity tactics for preserving education and vital infrastructure, guaranteeing the sustained steadiness and adaptability of the community against constantly changing cyber threats.

Keywords

educational ecosystem; resilience; learning landscape; cybersecurity; digital platforms; network security; device management; cyber threats; vulnerabilities

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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