AI & ML
MASAR: Multi-stage Attack Surface Analysis and Reasoning Framework for Telecom Networks
arXiv cs.CR0 views
arXiv:2610.29343v1 Announce Type: new Abstract: The increasing complexity of modern telecommunications networks introduces security challenges that require systematic threat analysis. However, a gap remains between architectural threat modeling frameworks, such as Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege (STRIDE), and operational knowledge bases, such as the MITRE Five-G Hierarchy of Threats (FiGHT). This gap limits the ability to connect architectural weaknesses with specific protocol behaviors and attack sequences. This paper presents Multi-stage Attack Surface Analysis and Reasoning (MASAR), a formal framework that bridges this gap through three layers: strategic threat mapping, logical attack path decomposition using directed acyclic graphs (DAGs), and operational synthesis of tactics, techniques, and procedures (TTPs). MASAR is evaluated using a 5G-ready IP Multimedia Subsystem (IMS) architecture, examining two signaling attack scenarios: early media billing bypass through Session Initiation Protocol (SIP) signaling and subscriber information disclosure and topology discovery through the Diameter Cx interface. MiniZinc constraint models are used to analyze the reachability of unsafe protocol states. The analysis demonstrates how MASAR connects architectural threats with specific protocol behaviors and supports security controls that account for network states in telecommunications systems.
Source:https://arxiv.org/abs/2610.29343PreviousCryptanalysis and Repair of "Decentralized Multi-authority ABE for NC$^1$ from BDH"NextWhere AI Vulnerability Discovery Harnesses Go Quiet: Structural False Negatives and Hidden Vulnerabilities
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