
MACsec on 400G Links: Hardware Acceleration for Financial Networks
Ashutosh Chandra Jha , Network Security Engineer, NewYork, USAAbstract
In financial networks, the explosive growth of high-frequency trading (HFT), market data feeds, and real-time clearing platforms has only heightened the demand for ultra-low latency and yet secure data transmission. With 400G Ethernet becoming the core of modern financial infrastructure, a complex technical challenge is to implement robust encryption without deterministically degrading system performance. This article discusses the deployment of MACsec on 400G links by leveraging hardware acceleration, including FPGA, SmartNICs, and ASICs. The study compares software-based MACsec with hardware-accelerated alternatives, conducted through emulation, simulation, and benchmarking in lab environments that mimic real-world financial traffic, using metrics such as latency, jitter, CPU utilization, throughput, and power efficiency. Hardware offloading significantly reduces latency induced by encryption and facilitates secure communication within a microsecond bound while also increasing system scalability—a crucial feature for both compliance-sensitive financial applications in practice. Proposes a comprehensive architecture to integrate both legacy and next-generation data center fabrics. The article offers deployment recommendations (mixed plumes vs. deposited samples), key lifecycle management principles, and a guide to component selection tailored to operational needs. This also highlights new trends, such as post-quantum MACsec hardware and AI-driven encrypted traffic visibility. For financial institutions seeking to strike a balance between security and speed in a world of terabit-scale networking, this research offers valuable insights.
Keywords
MACsec, 400G Ethernet, Hardware Acceleration, Financial Networks
References
Abolade, O., Okandeji, A., Oke, A., Osifeko, M., & Oyedeji, A. (2021). Overhead effects of data encryption on TCP throughput across IPSEC secured network. Scientific African, 13, e00855. https://doi.org/10.1016/j.sciaf.2021.e00855
Gunda, S. K. (2025). Accelerating Scientific Discovery With Machine Learning and HPC-Based Simulations. In B. Ben Youssef & M. Ben Ismail (Eds.), Integrating Machine Learning Into HPC-Based Simulations and Analytics (pp. 229-252). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-3795-7.ch009
Ahuja, A. (2024). A Detailed Study on Security and Compliance in Enterprise Architecture. https://dx.doi.org/10.2139/ssrn.5114289
Banerjee, U. (2021). Efficient Algorithms, Protocols and Hardware Architectures for Next-Generation Cryptography in Embedded Systems (Doctoral dissertation, Massachusetts Institute of Technology). https://hdl.handle.net/1721.1/139330
Chavan, A. (2022). Importance of identifying and establishing context boundaries while migrating from monolith to microservices. Journal of Engineering and Applied Sciences Technology, 4, E168. http://doi.org/10.47363/JEAST/2022(4)E168
Chavan, A. (2023). Managing scalability and cost in microservices architecture: Balancing infinite scalability with financial constraints. Journal of Artificial Intelligence & Cloud Computing, 2, E264. http://doi.org/10.47363/JAICC/2023(2)E264
Chiesa, M., Kamisiński, A., Rak, J., Rétvári, G., & Schmid, S. (2021). A survey of fast-recovery mechanisms in packet-switched networks. IEEE Communications Surveys & Tutorials, 23(2), 1253-1301. https://doi.org/10.1109/COMST.2021.3063980
Cho, J. Y., & Sergeev, A. (2021). Using QKD in MACsec for secure Ethernet networks. IET Quantum Communication, 2(3), 66-73. https://doi.org/10.1049/qtc2.12006
Dhanagari, M. R. (2024). MongoDB and data consistency: Bridging the gap between performance and reliability. Journal of Computer Science and Technology Studies, 6(2), 183-198. https://doi.org/10.32996/jcsts.2024.6.2.21
Dhanagari, M. R. (2024). Scaling with MongoDB: Solutions for handling big data in real-time. Journal of Computer Science and Technology Studies, 6(5), 246-264. https://doi.org/10.32996/jcsts.2024.6.5.20
Goel, G., & Bhramhabhatt, R. (2024). Dual sourcing strategies. International Journal of Science and Research Archive, 13(2), 2155. https://doi.org/10.30574/ijsra.2024.13.2.2155
Grubbs, P., Lu, J., & Ristenpart, T. (2017). Message franking via committing authenticated encryption. In Advances in Cryptology–CRYPTO 2017: 37th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 20–24, 2017, Proceedings, Part III 37 (pp. 66-97). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-319-63697-9_3
Hauser, F., Schmidt, M., Häberle, M., & Menth, M. (2020). P4-MACsec: Dynamic topology monitoring and data layer protection with MACsec in P4-based SDN. IEEE Access, 8, 58845-58858. https://doi.org/10.1109/ACCESS.2020.2982859
Joung, J., & Kwon, J. (2021). Zero jitter for deterministic networks without time-synchronization. IEEE Access, 9, 49398-49414. https://doi.org/10.1109/ACCESS.2021.3068515
Karaagac, A., De Poorter, E., & Hoebeke, J. (2019). In-band network telemetry in industrial wireless sensor networks. IEEE Transactions on Network and Service Management, 17(1), 517-531. https://doi.org/10.1109/TNSM.2019.2949509
Karwa, K. (2023). AI-powered career coaching: Evaluating feedback tools for design students. Indian Journal of Economics & Business. https://www.ashwinanokha.com/ijeb-v22-4-2023.php
Karwa, K. (2024). Navigating the job market: Tailored career advice for design students. International Journal of Emerging Business, 23(2). https://www.ashwinanokha.com/ijeb-v23-2-2024.php
Kelechi, A. H., Alsharif, M. H., Ramly, A. M., Abdullah, N. F., & Nordin, R. (2019). The four-C framework for high capacity ultra-low latency in 5G networks: A review. Energies, 12(18), 3449. https://doi.org/10.3390/en12183449
S. K. Gunda, "Comparative Analysis of Machine Learning Models for Software Defect Prediction," 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), Chennai, India, 2024, pp. 1-6, https://ieeexplore.ieee.org/document/10780167
Konneru, N. M. K. (2021). Integrating security into CI/CD pipelines: A DevSecOps approach with SAST, DAST, and SCA tools. International Journal of Science and Research Archive. Retrieved from https://ijsra.net/content/role-notification-scheduling-improving-patient
Kumar, A. (2019). The convergence of predictive analytics in driving business intelligence and enhancing DevOps efficiency. International Journal of Computational Engineering and Management, 6(6), 118-142. Retrieved from https://ijcem.in/wp-content/uploads/THE-CONVERGENCE-OF-PREDICTIVE-ANALYTICS-IN-DRIVING-BUSINESS-INTELLIGENCE-AND-ENHANCING-DEVOPS-EFFICIENCY.pdf
Lawo, D. C., Abu Bakar, R., Cano Aguilera, A., Cugini, F., Imaña, J. L., Tafur Monroy, I., & Vegas Olmos, J. J. (2024). Wireless and Fiber-Based Post-Quantum-Cryptography-Secured IPsec Tunnel. Future Internet, 16(8), 300. https://doi.org/10.3390/fi16080300
Nasrallah, A., Thyagaturu, A. S., Alharbi, Z., Wang, C., Shao, X., Reisslein, M., & ElBakoury, H. (2018). Ultra-low latency (ULL) networks: The IEEE TSN and IETF DetNet standards and related 5G ULL research. IEEE Communications Surveys & Tutorials, 21(1), 88-145. https://doi.org/10.1109/COMST.2018.2869350
Nyati, S. (2018). Revolutionizing LTL carrier operations: A comprehensive analysis of an algorithm-driven pickup and delivery dispatching solution. International Journal of Science and Research (IJSR), 7(2), 1659-1666. Retrieved from https://www.ijsr.net/getabstract.php?paperid=SR24203183637
S. K. Gunda, "Fault Prediction Unveiled: Analyzing the Effectiveness of RandomForest, LogisticRegression, and KNeighbors," 2024 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India, 2024, pp. 107-113. https://ieeexplore.ieee.org/document/10760620
Paech, P. (2017). The governance of blockchain financial networks. The Modern Law Review, 80(6), 1073-1110. https://doi.org/10.1111/1468-2230.12303
Pimenta Rodrigues, G. A., de Oliveira Albuquerque, R., Gomes de Deus, F. E., de Sousa Jr, R. T., de Oliveira Júnior, G. A., Garcia Villalba, L. J., & Kim, T. H. (2017). Cybersecurity and network forensics: Analysis of malicious traffic towards a honeynet with deep packet inspection. Applied Sciences, 7(10), 1082. https://doi.org/10.3390/app7101082
Raju, R. K. (2017). Dynamic memory inference network for natural language inference. International Journal of Science and Research (IJSR), 6(2). https://www.ijsr.net/archive/v6i2/SR24926091431.pdf
Sardana, J. (2022). The role of notification scheduling in improving patient outcomes. International Journal of Science and Research Archive. Retrieved from https://ijsra.net/content/role-notification-scheduling-improving-patient
Schulz, G. (2016). The green and virtual data center. CRC Press.
Shantharama, P., Thyagaturu, A. S., & Reisslein, M. (2020). Hardware-accelerated platforms and infrastructures for network functions: A survey of enabling technologies and research studies. IEEE Access, 8, 132021-132085. https://doi.org/10.1109/ACCESS.2020.3008250
Singh, V. (2022). Advanced generative models for 3D multi-object scene generation: Exploring the use of cutting-edge generative models like diffusion models to synthesize complex 3D environments. https://doi.org/10.47363/JAICC/2022(1)E224
Singh, V. (2023). Enhancing object detection with self-supervised learning: Improving object detection algorithms using unlabeled data through self-supervised techniques. International Journal of Advanced Engineering and Technology. https://romanpub.com/resources/Vol%205%20%2C%20No%201%20-%2023.pdf
Singla, A., Mudgerikar, A., Papapanagiotou, I., & Yavuz, A. A. (2015, October). Haa: Hardware-accelerated authentication for internet of things in mission critical vehicular networks. In MILCOM 2015-2015 IEEE Military Communications Conference (pp. 1298-1304). IEEE. https://doi.org/10.1109/MILCOM.2015.7357624
Sriram, H. K., ADUSUPALLI, B., & Malempati, M. (2021). Revolutionizing Risk Assessment and Financial Ecosystems with Smart Automation, Secure Digital Solutions, and Advanced Analytical Frameworks. https://dx.doi.org/10.2139/ssrn.5213196
Sukhadiya, J., Pandya, H., & Singh, V. (2018). Comparison of Image Captioning Methods. INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH, 6(4), 43-48. https://rjwave.org/ijedr/papers/IJEDR1804011.pdf
Thompson, G. F. (2017). Time, trading and algorithms in financial sector security. New Political Economy, 22(1), 1-11. https://doi.org/10.1080/13563467.2016.1183116
Wang, D., Bai, B., Lei, K., Zhao, W., Yang, Y., & Han, Z. (2019). Enhancing information security via physical layer approaches in heterogeneous IoT with multiple access mobile edge computing in smart city. IEEE Access, 7, 54508-54521. https://doi.org/10.1109/ACCESS.2019.2913438
Yadav, A., Dobre, O. A., & Ansari, N. (2017). Energy and traffic aware full-duplex communications for 5G systems. IEEE Access, 5, 11278-11290. https://doi.org/10.1109/ACCESS.2017.2696822
Zou, Y., Zhu, J., Wang, X., & Hanzo, L. (2016). A survey on wireless security: Technical challenges, recent advances, and future trends. Proceedings of the IEEE, 104(9), 1727-1765. https://doi.org/10.1109/JPROC.2016.2558521
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