Publicação em atas de evento científico Q3
A large-scale study on the security vulnerabilities of cloud deployments
Iosif Andrei-Cristian (Andrei-Cristian, I.); Tiago Espinha Gasiba (Gasiba, T. E.); Tiange Zhao (Zhao, T.); Ulrike Lechner (Lechner, U.); Maria Pinto-Albuquerque (Pinto-Albuquerque, M.);
Ubiquitous Security. UbiSec 2021. Communications in Computer and Information Science
Ano (publicação definitiva)
2022
Língua
Inglês
País
Singapura
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Abstract/Resumo
As cloud deployments are becoming ubiquitous, the rapid adoption of this new paradigm may potentially bring additional cyber security issues. It is crucial that practitioners and researchers pose questions about the current state of cloud deployment security. By better understanding existing vulnerabilities, progress towards a more secure cloud can be accelerated. This is of paramount importance especially with more and more critical infrastructures moving to the cloud, where the consequences of a security incident can be significantly broader. This study presents a data-centric approach to security research – by using three static code analysis tools and scraping the internet for publicly available codebases, a footprint of the current state of open-source infrastructure-as-code repositories can be achieved. Out of the scraped 44485 repository links, the study is concentrated on 8256 repositories from the same cloud provider, across which 292538 security violations have been collected. Our contributions consist of: understanding on existing security vulnerabilities of cloud deployments, contributing a list of Top Guidelines for practitioners to follow to securely deploy systems in the cloud, and providing the raw data for further studies.
Agradecimentos/Acknowledgements
Maria Pinto-Albuqueque thanks the Instituto Universitário de Lisboa and ISTAR for their support. Ulrike Lechner acknowledges partial funding of this work in project LIONS by dtec.bw.
Palavras-chave
Cloud,Security,Industry,Critical infrastructures,Awareness,Infrastructure as code,Terraform,Secure coding
  • Matemáticas - Ciências Naturais
  • Ciências da Computação e da Informação - Ciências Naturais
Prémios
Prémio de melhor artigo.
Registos de financiamentos
Referência de financiamento Entidade Financiadora
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia
UIDP/04466/2020 Fundação para a Ciência e a Tecnologia
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