Challenges and Best Practices in Security Configuration for Containerized Environments

Venkat Marella

doi:10.32628/IJSRSET24105471

Authors

Venkat Marella Independent Researcher, USA Author

DOI:

https://doi.org/10.32628/IJSRSET24105471

Keywords:

Infrastructure as Code (IaC), Containerization, Organizations, Industrial Development, Configuration Management (CM), Optimized Resource Utilization, Cloud Environment, Automation, Cyber Safety, Three-Component Model, DevOps Integration

Abstract

Through an analysis of theoretical frameworks, best practices, innovations, and problems, this research study delves into the complex field of Configuration Management (CM) in the current day. The fundamental knowledge of CM is formed by theoretical models, such as ITIL and the Three-Component Model, which direct the efficient identification, control, and status accounting of configuration items. Traditional CM approaches are being reshaped by innovations like DevOps integration, Infrastructure as Code (IaC), and containerization technologies, which provide solutions for scalability, automation, and flexibility. In a multi-cloud setting, containerization enables resource optimization and workload mobility. In recent years, containerization in multi-cloud systems has drawn a lot of interest from both academic and industry development viewpoints. In order to improve cyber safety in containerized systems, the research examines the comparative analysis of security solutions, difficulties, and best practices. In order to investigate safety flaws in containerization platforms, investigate methods for enhancing container isolation, and evaluate the critical role encryption techniques play in delivering secure applications, this review aims to shed light on the improved security posture of containerized environments. Additionally, the report offers helpful advice for companies looking to bolster their cyber security defences on containerization systems.

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References

Juncal Alonso, Leire Orue-Echevarria, Valentina Casola, Ana Isabel Torre, Maider Huarte, Eneko Osaba, and Jesus L Lobo. 2023. Understanding the challenges and novel architectural models of multi-cloud native applications–a systematic literature review. Journal of Cloud Computing 12, 1 (2023), 1–34. DOI: https://doi.org/10.1186/s13677-022-00367-6

Juncal Alonso, Kyriakos Stefanidis, Leire Orue-Echevarria, Lorenzo Blasi, Michael Walker, Marisa Escalante, María José López, and Simon Dutkowski. 2019. DECIDE: an extended devops framework for multi-cloud applications. In Proceedings of the 3rd International Conference on Cloud and Big Data Computing (ICCBDC). 43–48.

Luiz Fernando Altran, Guilherme Galante, and Marcio Seiji Oyamada. 2022. Label-affinity-Scheduler: Considering Business Requirements in Container Scheduling for Multi-Cloud and Multi-Tenant Environments. In Proceedings of the 12th Brazilian Symposium on Computing Systems Engineering (SBESC). IEEE, 1–8. DOI: https://doi.org/10.1109/SBESC56799.2022.9964784

Atakan Aral, Rafael Brundo Uriarte, Anthony Simonet-Boulogne, and Ivona Brandic. 2020. Reliability management for blockchain-based decentralized multi-cloud. In Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE, 21–30. DOI: https://doi.org/10.1109/CCGrid49817.2020.00-91

Greg Austin. 2018. Cybersecurity in China: The next wave. Springer. DOI: https://doi.org/10.1007/978-3-319-68436-9

Uchechukwu Awada. 2018. Application-Container Orchestration Tools and Platform-as-a-Service Clouds: A Survey. International Journal of Advanced Computer Science and Applications (2018).

Kiran Baby and Anupriya Vysala. 2015. Multicloud architecture for augmenting security in clouds. In Proceedings of the 1st global conference on communication technologies (GCCT). IEEE, 474–478. DOI: https://doi.org/10.1109/GCCT.2015.7342707

Naylor G Bachiega, Paulo SL Souza, Sarita M Bruschi, and Simone Do RS De Souza. 2018. Container-based performance evaluation: A survey and challenges. In Proceedings of the 6th IEEE International Conference on Cloud Engineering (IC2E). IEEE, 398–403. DOI: https://doi.org/10.1109/IC2E.2018.00075

Armin Balalaie, Abbas Heydarnoori, and Pooyan Jamshidi. 2016. Microservices architecture enables devops: Migration to a cloud-native architecture. IEEE Software 33, 3 (2016), 42–52. DOI: https://doi.org/10.1109/MS.2016.64

Luciano Baresi, Sam Guinea, Giovanni Quattrocchi, and Damian A Tamburri. 2016. Microcloud: A container-based solution for efficient resource management in the cloud. In Proceedings of the 1st International Conference on Smart Cloud (SmartCloud). IEEE, 218–223 DOI: https://doi.org/10.1109/SmartCloud.2016.42

Thomas Dreibholz, Somnath Mazumdar, Feroz Zahid, Amir Taherkordi, and Ernst Gunnar Gran. 2019. Mobile edge as part of the multi-cloud ecosystem: a performance study. In Proceedings of the 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). IEEE, 59–66. DOI: https://doi.org/10.1109/EMPDP.2019.8671599

Angermeir, F.; Voggenreiter, M.; Moyon, F.; Mendez, D. Enterprise-driven open source software: A case study on security automation. In Proceedings of the 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSESEIP), Madrid, Spain, 25–28 May 2021; pp. 278–287. DOI: https://doi.org/10.1109/ICSE-SEIP52600.2021.00037

Edoardo Fadda, Pierluigi Plebani, and Monica Vitali. 2019. Monitoring-aware optimal deployment for applications based on microservices. IEEE Transactions on Services Computing 14, 6 (2019), 1849–1863. DOI: https://doi.org/10.1109/TSC.2019.2910069

Diogo AB Fernandes, Liliana FB Soares, João V Gomes, Mário M Freire, and Pedro RM Inácio. 2014. Security issues in cloud environments: a survey. International journal of information security 13 (2014), 113–170. Carlos Guerrero, Isaac Lera, and Carlos Juiz. 2018. Resource optimization of container orchestration: a case study in multi-cloud microservices-based applications. The Journal of Supercomputing 74, 7 (2018), 2956–2983. DOI: https://doi.org/10.1007/s11227-018-2345-2

Srinivasa Rao Gundu, Charan Arur Panem, and Anuradha Thimmapuram. 2020 Hybrid IT and multi cloud an emerging trend and improved performance in cloud computing. SN Computer Science 1, 5 (2020), 256. DOI: https://doi.org/10.1007/s42979-020-00277-x

Ana Juan Ferrer, David García Pérez, and Román Sosa González. 2016. Multi-cloud platform-as-a-service model, functionalities and approaches. Procedia Computer Science 97 (2016), 63–72. DOI: https://doi.org/10.1016/j.procs.2016.08.281

Nicolas Ferry, Alessandro Rossini, Franck Chauvel, Brice Morin, and Arnor Solberg. 2013. towards model-driven provisioning, deployment, monitoring, and adaptation of multi-cloud systems. In Proceedings of the 6th International Conference on Cloud Computing (ICCC). IEEE, 887–894. DOI: https://doi.org/10.1109/CLOUD.2013.133

E. Casalicchio and S. Iannucci, The state-of-the-art in container technologies: Application, orchestration and security, Concurrency and Computation: Practice and Experience, January 2020. DOI: https://doi.org/10.1002/cpe.5668

M. Souppaya, J. Morello, and K. Scarfone, Application Container Security Guide, csrc.nist.gov, September 2017. DOI: https://doi.org/10.6028/NIST.SP.800-190

T. Jernigan, Scanning Docker Images for Vulnerabilities using Clair, Amazon ECS, ECR, and AWS CodePipeline, AWS Compute Blog, November 2018.

A. Zerouali, T. Mens, G. Robles, and J. GonzalezBarahona, On The Relation Between Outdated Docker Containers, Severity Vulnerabilities and Bugs, arXiv, November 2018. DOI: https://doi.org/10.1109/SANER.2019.8668013

A.R. Manu, J.K. Patel, S. Akhtar, V.K. Agrawal, and K.N.B. Subramanya Murthy, A study, analysis and deep dive on cloud PAAS security in terms of Docker container security, International Conference on Circuit, Power and Computing Technologies (ICCPCT), March 2016. DOI: https://doi.org/10.1109/ICCPCT.2016.7530284

A. Duarte and N. Antunes, an Empirical Study of Docker Vulnerabilities and of Static Code Analysis Applicability, Eighth Latin-American Symposium on Dependable Computing (LADC), October 2018. DOI: https://doi.org/10.1109/LADC.2018.00013

Kugathasan Janarthanan, PRLC Peramune, AT Ranaweera, Theviyanthan Krishnamohan, Lakmal Rupasinghe, Kalpa Kalhara Sampath, and Chethana Liyanapathirana. 2018. Policies based container migration using crosscloud management platform. In Proccedings of the 8th International Conference on Information and Automation for Sustainability (ICIAfS). IEEE, 1–6. DOI: https://doi.org/10.1109/ICIAFS.2018.8913336

Devki Nandan Jha, Zhenyu Wen, Yinhao Li, Michael Nee, Maciej Koutny, and Rajiv Ranjan. 2019. A cost-efficient multi-cloud orchestrator for benchmarking containerized web-applications. In Proceedings of the 20th International Conference on Web Information Systems Engineering (WISE). Springer, 407–423. DOI: https://doi.org/10.1007/978-3-030-34223-4_26

Tripathi, A. (2023). Low-code/no-code development platforms. International Journal of Computer Applications (IJCA), 4(1), 27–35. Retrieved from https://iaeme.com/Home/issue/IJCA?Volume=4&Issue=1

Tripathi, A. (2024). Unleashing the power of serverless architectures in cloud technology: A comprehensive analysis and future trends. IJIRAE: International Journal of Innovative Research in Advanced Engineering, 11(03), 138-146. DOI: https://doi.org/10.26562/ijirae.2024.v1103.01

Tripathi, A. (2024). Enhancing Java serverless performance: Strategies for container warm-up and optimization. International Journal of Computer Engineering and Technology (IJCET), 15(1), 101-106.

Tripathi, A. (2022). Serverless deployment methodologies: Smooth transitions and improved reliability. IJIRAE: International Journal of Innovative Research in Advanced Engineering, 9(12), 510-514. DOI: https://doi.org/10.26562/ijirae.2022.v0912.10

Tripathi, A. (2022). Deep dive into Java tiered compilation: Performance optimization. International Journal of Creative Research Thoughts (IJCRT), 10(10), 479-483. Retrieved from https://www.ijcrt.org

Krishnateja Shiva. (2022). Leveraging Cloud Resource for Hyperparameter Tuning in Deep Learning Models. International Journal on Recent and Innovation Trends in Computing and Communication, 10(2), 30–35. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10980

Pradeep Etikani. (2023). Automating Machine Learning Workflows with Cloud-Based Pipelines. International Journal of Intelligent Systems and Applications in Engineering, 11(1), 375 –. Arth Dave, Lohith Paripati, Narendra Narukulla, Venudhar Rao Hajari, & Akshay Agarwal. (2024). Cloud-Based Regulatory Intelligence Dashboards: Empowering Decision-Makers with Actionable Insights. Innovative Research Thoughts, 10(2), 43–50. Retrieved from https://irt.shodhsagar.com/index.php/j/article/view/1272

Narukulla, N., Lopes, J., Hajari, V. R., Prasad, N., & Swamy, H. (2021). Real Time Data Processing and Predictive Analytics Using Cloud Based Machine Learning. Tuijin Jishu/Journal of Propulsion Technology, 42(4), 91-102. https://www.propulsiontechjournal.com/index.php/journal/article/view/6757 DOI: https://doi.org/10.52783/tjjpt.v42.i4.6757

Prasad, N., Narukulla, N., Hajari, V. R., Paripati, L., & Shah, J. (2020). AI-driven data governance framework for cloud-based data analytics. Volume, 17(2), 1551-1561.https://www.webology.org/abstract.php?id=5212.Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6722

Thakkar, D. (2021). Leveraging AI to transform talent acquisition. International Journal of Artificial Intelligence and Machine Learning, 3(3), 7. https://www.ijaiml.com/volume-3-issue-3-paper-1/

Thakkar, D. (2020, December). Reimagining curriculum delivery for personalized learning experiences. International Journal of Education, 2(2), 7. Retrieved from https://iaeme.com/Home/article_id/IJE_02_02_003

Kanchetti, D., Munirathnam, R., & Thakkar, D. (2019). Innovations in workers compensation: XML shredding for external data integration. Journal of Contemporary Scientific Research, 3(8). ISSN (Online) 2209-0142.

Thakkar, D., Kanchetti, D., & Munirathnam, R. (2022). The transformative power of personalized customer onboarding: Driving customer success through data-driven strategies. Journal for Research on Business and Social Science, 5(2)