Cybersecurity Training for Users of Remote Computing

Autor:	Ponce, Marcelo, van Zon, Ramses
Rok vydání:	2023
Předmět:	Computer Science - Cryptography and Security Computer Science - Computers and Society Computer Science - Distributed Parallel and Cluster Computing
Zdroj:	Journal of Computational Science Education (2023), vol. 14, issue 2, pp. 10-17
Druh dokumentu:	Working Paper
DOI:	10.22369/issn.2153-4136/14/2/3
Popis:	End users of remote computing systems are frequently not aware of basic ways in which they could enhance protection against cyber-threats and attacks. In this paper, we discuss specific techniques to help and train users to improve cybersecurity when using such systems. To explain the rationale behind these techniques, we go into some depth explaining possible threats in the context of using remote, shared computing resources. Although some of the details of these prescriptions and recommendations apply to specific use cases when connecting to remote servers, such as a supercomputer, cluster, or Linux workstation, the main concepts and ideas can be applied to a wider spectrum of cases. Comment: To be presented at SEHET23@PEARC23 and published in the Journal of Computational Science Education. Associated repository with best practices and recommendations: https://github.com/cybersec-BestPractices/cybersec-RemoteComputing
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2306.07192 Zobrazit plný text záznamu View this record from Arxiv