Importance of Encrypting Data in Transit and at Rest Using TLS and Other Security Protocols and API Security Best Practices
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I3P109Keywords:
Data Encryption, TLS, Data in Transit, Data at Rest, API Security, Cryptographic Protocols, Secure Communication, IPsec, HTTPSAbstract
Security of data has become one of the most relevant concerns in the fast-changing digital environment. Due to the growing number of cyberattacks and data breaches, protecting sensitive data is more important than ever. The development of cybersecurity practices today is primarily based on data encryption in motion and at rest. The significance of Transport Layer Security (TLS), Secure/Multipurpose Internet Mail Extensions (S/MIME), and IPsec, among other cryptographic security protocols, in protecting data at different levels is described in this paper. Additionally, we explore API security best practices to achieve robust end-to-end protection. In its article, the authors give a thorough overview of the literature available, postulate a system of data security transmission and storage, and show the results of an analysis that confirms the importance of encryption processes. With the help of figures, tables, and flowcharts, we effectively depict the process of encryption, the area of its attack, and the efficiency of the implemented security measures. We conclude by drawing conclusions and highlighting best practices that can be adopted in real-world systems to address any weaknesses and prevent harm to data
References
1. Smid, M. E. (2021). Development of the Advanced Encryption Standard. Journal of Research of the National Institute of Standards and Technology, 126, 126024.
2. Diffie, W., & Hellman, M. E. (2022). New directions in cryptography. In Democratizing Cryptography: The Work of Whitfield Diffie and Martin Hellman (pp. 365-390).
3. Dierks, T., & Rescorla, E. (2008). The Transport Layer Security (TLS) protocol version 1.2 (RFC 5246).
4. Rescorla, E. (2018). The Transport Layer Security (TLS) protocol version 1.3 (RFC 8446).
5. Perlman, R., Kaufman, C., & Speciner, M. (2016). Network security: private communication in a public world. Pearson Education India.
6. Kent, S., & Seo, K. (2005). Security architecture for the Internet Protocol (No. RFC4301).
7. Fielding, R. T., & Taylor, R. N. (2002). Principled design of the modern web architecture. ACM Transactions on Internet Technology (TOIT), 2(2), 115-150.
8. Wang, J. S., Liu, C. H., & Lin, G. T. (2011, October). How to manage information security in cloud computing. In 2011 IEEE International Conference on Systems, Man, and Cybernetics (pp. 1405-1410). IEEE.
9. Volini, A. G. (2020). A Deep Dive into Technical Encryption Concepts to Better Understand Cybersecurity & Data Privacy Legal & Policy Issues. J. Intell. Prop. L., 28, 291.
10. O'Neill, M., Heidbrink, S., Whitehead, J., Perdue, T., Dickinson, L., Collett, T., ... & Zappala, D. (2018). The Secure Socket Layer (SSL) API is an operating system service, as presented in the 27th USENIX Security Symposium (USENIX Security' 18) (pp. 799-816).
11. Zulkifli, M. Z. W. M. (2007). Evolution of cryptography. Obtenido de Evolution of Cryptography: https://idazuwaika. Files. wordpress. com/2, 8(06).
12. Nithyanand, R. (2009). A Survey on the Evolution of Cryptographic Protocols in ePassports. Cryptology ePrint Archive.
13. Mahboob, A., & Ikram, N. (2004). Transport Layer Security (TLS)–A Network Security Protocol for E-commerce. Pakistan Navy Engineering College (PNEC) Research Journal.
14. Ofoeda, J., Boateng, R., & Effah, J. (2019). Application programming interface (API) research: A review of the past to inform the future. International Journal of Enterprise Information Systems (IJEIS), 15(3), 76-95.
15. Kaufman, C., Perlman, R., & Speciner, M. (2002). Network Security: Private Communication in a Public World. Prentice Hall.
16. Wu, D., Jing, X. Y., Zhang, H., Kong, X., Xie, Y., & Huang, Z. (2020). Data‐driven approach to application programming interface documentation mining: A review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(5), e1369.
17. Nejad, B. (2022). Cyber Security. In Introduction to Satellite Ground Segment Systems Engineering: Principles and Operational Aspects (pp. 223-244). Cham: Springer International Publishing.
18. Bock, L. (2021). Modern Cryptography for Cybersecurity Professionals: Learn how you can leverage encryption to better secure your organization's data. Packt Publishing Ltd.
19. Mosteiro-Sanchez, A., Barcelo, M., Astorga, J., & Urbieta, A. (2020). Securing IIoT using defence-in-depth: towards an end-to-end secure industry 4.0. Journal of Manufacturing Systems, 57, 367-378.
20. Sun, R., Wang, Q., & Guo, L. (2021, July). Research towards key issues of api security. In China Cyber Security Annual Conference (pp. 179-192). Singapore: Springer Nature Singapore.
21. Pappula, K. K. (2020). Browser-Based Parametric Modeling: Bridging Web Technologies with CAD Kernels. International Journal of Emerging Trends in Computer Science and Information Technology, 1(3), 56-67. https://doi.org/10.63282/3050-9246.IJETCSIT-V1I3P107
22. Rahul, N. (2020). Optimizing Claims Reserves and Payments with AI: Predictive Models for Financial Accuracy. International Journal of Emerging Trends in Computer Science and Information Technology, 1(3), 46-55. https://doi.org/10.63282/3050-9246.IJETCSIT-V1I3P106
23. Enjam, G. R. (2020). Ransomware Resilience and Recovery Planning for Insurance Infrastructure. International Journal of AI, BigData, Computational and Management Studies, 1(4), 29-37. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V1I4P104
24. Pappula, K. K., & Anasuri, S. (2021). API Composition at Scale: GraphQL Federation vs. REST Aggregation. International Journal of Emerging Trends in Computer Science and Information Technology, 2(2), 54-64. https://doi.org/10.63282/3050-9246.IJETCSIT-V2I2P107
25. Pedda Muntala, P. S. R., & Jangam, S. K. (2021). Real-time Decision-Making in Fusion ERP Using Streaming Data and AI. International Journal of Emerging Research in Engineering and Technology, 2(2), 55-63. https://doi.org/10.63282/3050-922X.IJERET-V2I2P108
26. Rahul, N. (2021). AI-Enhanced API Integrations: Advancing Guidewire Ecosystems with Real-Time Data. International Journal of Emerging Research in Engineering and Technology, 2(1), 57-66. https://doi.org/10.63282/3050-922X.IJERET-V2I1P107
27. Enjam, G. R., & Chandragowda, S. C. (2021). RESTful API Design for Modular Insurance Platforms. International Journal of Emerging Research in Engineering and Technology, 2(3), 71-78. https://doi.org/10.63282/3050-922X.IJERET-V2I3P108
28. Rusum, G. P. (2022). Security-as-Code: Embedding Policy-Driven Security in CI/CD Workflows. International Journal of AI, BigData, Computational and Management Studies, 3(2), 81-88. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I2P108
29. Pappula, K. K. (2022). Containerized Zero-Downtime Deployments in Full-Stack Systems. International Journal of AI, BigData, Computational and Management Studies, 3(4), 60-69. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I4P107
30. Anasuri, S., Rusum, G. P., & Pappula, kiran K. (2022). Blockchain-Based Identity Management in Decentralized Applications. International Journal of AI, BigData, Computational and Management Studies, 3(3), 70-81. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I3P109
31. Pedda Muntala, P. S. R., & Karri, N. (2022). Using Oracle Fusion Analytics Warehouse (FAW) and ML to Improve KPI Visibility and Business Outcomes. International Journal of AI, BigData, Computational and Management Studies, 3(1), 79-88. https://doi.org/10.63282/3050-9416.IJAIBDCMS-V3I1P109
32. Rahul, N. (2022). Optimizing Rating Engines through AI and Machine Learning: Revolutionizing Pricing Precision. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 3(3), 93-101. https://doi.org/10.63282/3050-9262.IJAIDSML-V3I3P110
33. Enjam, G. R. (2022). Secure Data Masking Strategies for Cloud-Native Insurance Systems. International Journal of Emerging Trends in Computer Science and Information Technology, 3(2), 87-94. https://doi.org/10.63282/3050-9246.IJETCSIT-V3I2P109
