The success of businesses and societies alike is based on connectivity in the digital age, and network security and dependability are now critical. Layer 2 and Layer 3 protocols, essential components of network architecture, are experiencing major changes caused by artificial intelligence (AI). These developments are addressing ongoing issues while also setting the stage for future networks that are more reliable and efficient. At the heart of these initiatives is Amaresan Venkatesan, whose distinctive work in this industry shows the vast potential of AI-driven solutions in improving network security.
Amaresan’s professional journey is marked by a number of innovative projects that demonstrate the importance of AI in network management. One notable accomplishment is his use of advanced traffic management techniques to mitigate Distributed Denial-of-Service (DDoS) attacks. Amaresan achieved router stability even under high traffic loads by using queuing and shaping mechanisms, which not only protected the network but also instilled customer confidence. His efforts directly helped his organisation secure significant business deals, resulting in millions of dollars in revenue.
One of the most difficult problems in Layer 2 and Layer 3 protocols has been solved in large part thanks to AI: preserving the consistency of important tables like MAC, route, and ARP across several modules. Missing entries in these tables can lead to traffic loss, a problem exacerbated in large-scale networks. In order to remove inconsistencies and guarantee smooth network operations, Amaresan led the development of a software program that could gather and cross-verify data from every module. His ability to successfully use AI to address complex technical problems is established by this creative solution.
Optimising the distribution of bandwidth among host path queues in scaled systems with hundreds of physical interfaces was another interesting obstacle surmounted under Amaresan’s leadership. He improved routing protocols’ security and dependability by giving priority to high-importance protocols and allocating resources appropriately. These accomplishments highlight his technical expertise and his capacity to produce quantifiable results that improve network performance.
In addition to resolving immediate technical problems, Amaresan’s contributions have had a long-lasting effect on his workplace. His work on DDos (Distributed Denial-of-Service) mitigation alone helped his company land three or four major clients and set the stage for future expansion. Additionally, his engineering of Access Control List (ACL) and Quality of Service (QoS) modules for Metro Ethernet and DSLAM Controller solutions increased market opportunities and strengthened his company’s position in the Metro Network industry.
Amaresan’s predictions about the future of network administration demonstrate the revolutionary potential of artificial intelligence. Previously, it took a great deal of time and effort to configure and debug large network topologies. But now that these tasks are automated thanks to AI-driven tools, setup time is reduced and disruptions are minimised. This paradigm shift is especially important for organisations creating new topologies with hundreds of routers and switches, where even small mistakes can have a big impact.
As he looks back on his journey, Amaresan notes, “At first, AI seemed like a ‘good-to-have’ feature, but its value has proven indispensable, transforming it into an integral part of modern networks.” His work highlights how AI is becoming more than just a support tool; it is also a strategic asset in creating networks that are secure, scalable, and resilient.
Amaresan’s publications on secure data transfer in Layer 2 and Layer 3 protocols have added to the body of knowledge in this area and advanced both academia and practice. His achievements show how a combination of knowledge, creativity, and the appropriate technology can solve even the most difficult network management problems, opening the door to a safer and more connected future.
