Tootfinder

A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
Mohammadhossein Homaei, Mehran Tarif, Agustin Di Bartolo, Oscar Mogollon Gutierrez, Mar Avila
https://arxiv.org/abs/2506.00133

A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
The Internet of Underwater Things (IoUT) faces major challenges such as low bandwidth, high latency, mobility, and limited energy resources. Traditional routing protocols like RPL, which were designed for land-based networks, do not perform well in these underwater conditions. This paper introduces RL-RPL-UA, a new routing protocol that uses reinforcement learning to improve performance in underwater environments. Each node includes a lightweight RL agent that selects the best parent node based…

An LLM Agent for Functional Bug Detection in Network Protocols
Mingwei Zheng, Chengpeng Wang, Xuwei Liu, Jinyao Guo, Shiwei Feng, Xiangyu Zhang
https://arxiv.org/abs/2506.00714

An LLM Agent for Functional Bug Detection in Network Protocols
Functional correctness is critical for ensuring the reliability and security of network protocol implementations. Functional bugs, instances where implementations diverge from behaviors specified in RFC documents, can lead to severe consequences, including faulty routing, authentication bypasses, and service disruptions. Detecting these bugs requires deep semantic analysis across specification documents and source code, a task beyond the capabilities of traditional static analysis tools. This p…

BEAR: BGP Event Analysis and Reporting
Hanqing Li, Melania Fedeli, Vinay Kolar, Diego Klabjan
https://arxiv.org/abs/2506.04514 https://

BEAR: BGP Event Analysis and Reporting
The Internet comprises of interconnected, independently managed Autonomous Systems (AS) that rely on the Border Gateway Protocol (BGP) for inter-domain routing. BGP anomalies--such as route leaks and hijacks--can divert traffic through unauthorized or inefficient paths, jeopardizing network reliability and security. Although existing rule-based and machine learning methods can detect these anomalies using structured metrics, they still require experts with in-depth BGP knowledge of, for example…