DYNAS: A Dynamic Network Penetration Testing Framework Using Deep Hierarchical Reinforcement Learning
As network scale and uncertainty complicate automated penetration testing, reinforcement learning (RL) environments must
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共收录 181 条相关情报。
← 返回所有主题Progressive-Observation Physical-Layer Fingerprinting for Efficient Open-Set Ethernet Authentication
Physical-layer fingerprinting (PLF) has emerged as a promising authentication approach for Internet of Things devices. H
Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients
Trim: Fee Level Matters More Than Skew in Lightning Routing
Lightning routing nodes lend their channel balance for a posted fee. Operators' tools move that fee with the balance aro
Denial of Service Attacks on Beam Allocation in Large LEO Constellations
We study the vulnerability of beam allocation approaches in large low-Earth-orbit (LEO) satellite constellations to adve
BE-CTDE: Blockchain-Enabled Multi-Agent Reinforcement Learning with Anomaly Detection and Token Economics
Multi-agent reinforcement learning supports cooperative decision-making in Internet of Things systems, but strategic dev
Security evaluation of 6G-oriented and O-RAN networks through targeted attacks
The sixth generation (6G) of networks is supported by increased bandwidth, automation through the use of O-RAN technolog
AIRO: A Streaming-Based Machine Learning Framework for Threat Detection and Security in Industrial Internet of Things
Modern Industrial Internet of Things (IIoT) im- plementations now connect edge gateways, cloud dashboards and business a
Who Patches the Lightning Network? Evidence from Release Lines in Gossip, 2023-2026
Every implementation of Bitcoin's Lightning payment network disclosed security vulnerabilities in 2026, and every adviso
VX-One: Typed, Calibrated Decision Heads for Real-Time Perimeter Triage - An empirical study of unknown-attack honesty, cascade gray zones, and calibration under drift
Perimeter triage faces a latency/semantics trade-off: signature engines are fast and format-safe but blind to unseen att
Do Flow-Generation Tools Matter? Unsupervised Characterization of MQTT Traffic Across Public Datasets
Message Queue Telemetry Transport (MQTT) is widely used in IoT environments due to its lightweight publish-subscribe des
MASAR: Multi-stage Attack Surface Analysis and Reasoning Framework for Telecom Networks
The increasing complexity of modern telecommunications networks introduces security challenges that require systematic t
CyberHull: Deterministic Malicious URL Isolation via Convex Hull
The emergence of increasingly sophisticated and evasion-resistant phishing attack strategies represents a significant th
NetGuise: Adversarial Traffic Generation for Early-Stage Classifier Evasion
Early-stage encrypted traffic classifiers make decisions from only the first few packets of a connection, enabling low-l
Connection Escrow: Holding AI-Agent Pod Egress in the Kernel Until an Isolated Verifier Rules
AI agents in containers act by opening network connections, and the text that drives them can be hostile. Controls place
From Trust Scores to Driver Decisions: An Abstaining Evidential Decision Layer for Event Validation in VANETs
Trust management in vehicular ad hoc networks is highly active, yet the decision that a driver needs, whether a reported
MAppPrint: Robust and Real-time Mobile App Fingerprinting via Traffic Behavior Correlation Graphs
Mobile apps have become ubiquitous in daily life. Despite communication encryption, app fingerprinting (AF) attacks can
Practical wavelength selection for quantum-augmented networks over shared optical fiber
In a quantum augmented network, sharing optical fiber with classical traffic requires quantum wavelength selection to ba
Prioritizing Microservice Requests via Retries
Cloud services rapidly shift towards independently-managed microservices architectures. This independence may lead to te
Tanchun: Robust Flow-Based HTTP(S) DDoS Detection via Behavioral Attribute Guidance
HTTP(S) DDoS attacks have surged in frequency and scale, posing a significant threat to network security. Flow-based det