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Bin Mai

Publications and source records attributed to Bin Mai.

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Security-Induced Braess Paradoxes in Service Function Chain Orchestration

NFV/SDN orchestration lets operators instantiate and steer traffic through virtual firewalls, IDS/IPS replicas, WAF clusters, zero-trust gateways, backup inspection paths, and migration targets on demand. Operators often treat these options as monotone improvements: more inspection capacity, lower nominal latency, or broader placement flexibility should not degrade the service. That intuition can fail even when the new option is locally attractive. We study a security-induced Braess paradox in service function chain (SFC) orchestration, where adding a defensive option worsens the post-adaptation equilibrium by concentrating traffic and adversarial value on shared security resources. We define Braessian security-management actions, derive a sufficient condition for paradox emergence under affine load-dependent VNF delay, and give a pre-deployment orchestration screen that rejects, caps, or reserves harmful options. A multi-tenant SFC experiment suite applies the model to four topology-derived settings: a fat-tree datacenter, NSFNET-style WAN, GEANT-style WAN, and edge/fog topology. Under default parameters in the Braessian regime identified by the theory, naive defensive expansion raises equilibrium service cost by 27.2-30.8% and increases risk concentration by factors of 6.1-9.7. Paradox-aware constrained use keeps the residual penalty below 1.9%, reduces service cost by 20.0-22.1% relative to naive expansion, and lowers a concentration-sensitive attack-loss proxy by 93.5% on average.

cs.NI

Toward a Mathematical Vulnerability Propagation and Defense Model in Smart Grid Networks

For reducing threat propagation within an inter-connected network, it is essential to distribute the defense investment optimally. Most electric power utilities are resource constrained, yet how to account for costs while designing threat reduction techniques is not well understood. Hence, in this work, a vulnerability propagation and a defense model is proposed based on an epidemic model. The new defense mechanism is then validated through sensitivity of the propagation parameters on the optimal investment with two-node and N-node cases. Further, the model efficacy is evaluated with implementation in one of the communication networks of a cyber-physical power system. Topological impact on the optimal nodal investment is also emphasized. Optimal investment of the neighbors with less degree were found to be highly sensitive to fluctuation in vulnerability exploitability probability.

cs.CR