Systems & Networks · Computer Science & AI
Networking & Internet
The newest papers in Networking & Internet that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
248 papers, from 31 August 2026 to 5 November 2026: 208 arXiv preprints and 40 OpenAlex records.
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Newest papers, page 10
PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing with Free-Tier LLMs
AI-driven penetration testing has been demonstrated with premium frontier models such as GPT-4, but the per-engagement token cost makes continuous, automated testing unaffordable for the smaller…Toward Composable Network Digital Twins: A Subgraph-Based Latency Prediction Study
Modern networks must support changing topologies, configurations, and performance objectives, motivating fast and reliable performance estimation.Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN
The O-RAN control plane is becoming agentic: autonomous AI agents, deployed as rApps by different vendors, independently close control loops over shared radio resources.Decomposing Predictive Kubernetes Autoscaling for Large Language Model Serving Under Long Startup Delays
Large language model (LLM) inference deployed on Kubernetes faces an autoscaling challenge that conventional web services do not: new serving replicas take two to ten minutes to start because…AeroLat: Channel-Aware Latent Space Semantic Communication for Decentralized UAV Swarms
Communication in latent space offers an intriguing alternative to symbolic messages for decentralized autonomous Unmanned Aerial Vehicle (UAV) swarms operating over bandwidth-constrained…Beyond Measurement Metrics: A Human-Centered Framework for Semantic Validation of Network Traffic Classification
Machine learning (ML) has become the dominant approach for network traffic classification, achieving very high predictive performance.Cross-Domain Inference for Human Localization: Applying Wi-Fi RSSI Data to CSI-Trained Models
Wi-Fi signal data can be used to compromise the privacy of individuals.Agentic Societies Need a Social Harness
An agentic society is a collection of AI agents that coordinate autonomously across trust boundaries, on behalf of different principals whose objectives may only partially align.Cloud Workflow Scheduling Based on Graph Attention-Driven Hierarchical Reinforcement Learning
Dynamic cloud workflow scheduling must balance deadline satisfaction, container utilization, and energy consumption while dealing with stochastic task-execution speeds, placement-dependent…Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence
This paper proposes FREDI (Fair Resource Allocation for Edge Dual-Threshold Inference), a secure wireless edge-intelligence framework for event-triggered inference in a cooperative user equipment…Fast-Convergent Meta-RL via Gradient-Clustered BS Sampling for Edge Caching
Wireless edge caching networks typically consist of many independent Base Stations (BSs), each facing its own request rate and content popularity profile.Toward Mission-Critical ISAC: Reliable Energy-Aware Coordination in UAV Swarms
Unmanned aerial vehicle (UAV) swarms deployed in mission-critical applications must simultaneously track a mobile aerial target and maintain reliable data links.Toward a Layer-2 Trigger for AI/ML Lifecycle Management in 6G
3GPP has progressively expanded AI/ML lifecycle management in the radio access network, from one-sided model control to Release 20 support for two-sided CSI-feedback model pairing.HELENA for 5G NR LEO NTN Channel Estimation: A Comparative Evaluation
Deep Learning (DL)-based channel estimation has shown high accuracy and low latency in terrestrial 5G NR, but Low Earth Orbit (LEO) Non-Terrestrial Networks (NTNs) introduce Doppler and…Nonlinear dynamics of random neural networks with second-order synaptic motifs
Classical theories of random neural networks typically assume independent connectivity, overlooking the local motif structures prevalent in biological circuits.Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks
As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization tool into a distributed and interconnected…HQARRF: Hierarchical Q-learning and Force-aware Routing for Multi-Charger Scheduling in Wireless Rechargeable Sensor Networks
Multi-charger scheduling in wireless rechargeable sensor networks must weigh sensor death risk, charger energy, travel cost, return-to-base feasibility and inter-charger coordination at once, and…mKernel: Fast Multi-GPU, Multi-Node Fused Kernels
Communication has become a bottleneck in distributed training and inference of large models.terms.txt: A Consent and Compensation Protocol for Agentic Web Access
The open web ran on an unwritten bargain: sites admitted crawlers, and search engines sent visitors back.On Identifying Adversarial Intent Injection in AI-Native 6G Networks
AI-native 6G networks have brought Intent-Based Networking (IBN) to the forefront, enabling high-level goals to be translated into network configurations.