Optimizing Security in High-Speed Networking Environments: An Integrated Framework Using AES, MPLS, and IDS for Enhanced Data Protection and Performance
As high-speed networking technologies like fiber optic 5G and advanced Wi-Fi continue to evolve, they offer exciting possibilities but also bring serious security challenges. Traditional methods often struggle to keep up with the rapid pace of data transfer, putting sensitive information at risk. TIn simpler terms, this paper lays out a detailed plan to improve security in fast-paced and ever-changing environments by integrating Advanced Encryption Standard (AES), Multiprotocol Label Switching (MPLS), and Intrusion Detection Systems (IDS). AES ensures that data remains confidential and intact through strong encryption, while MPLS optimizes routing for quick and efficient data transmission. IDS provides continuous monitoring to catch threats early. In testing this approach in a simulated real-world network, we found that combining these technologies not only boosts security but also improves overall performance. This framework offers a vital solution for balancing speed and security, helping various industries meet the growing demands of data-intensive applications while safeguarding their critical information.
Authors
- Rahul Kumar Singh (ORCID: https://orcid.org/0000-0002-4996-5300)
- L S Verma
- H. C. Mehta (ORCID: https://orcid.org/0009-0007-4247-1205)
- Pawan Kumar (ORCID: https://orcid.org/0000-0002-8801-644X)
- Shruti Gupta (ORCID: https://orcid.org/0000-0001-9974-9449)
- Vimmi Kochher
Institutions
- Indian Institute of Technology Roorkee (IN)
- Central Building Research Institute (IN)
- Noida International University (IN)
- KR Mangalam University (IN)
- Manav Rachna International Institute of Research and Studies (IN)
- Indian Institute of Management Rohtak (IN)
Publication Details
- Published
- 2025-06-05
- DOI
- https://doi.org/10.1109/eaic66483.2025.11101617
- Citations
- 1
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.49