To initiate mobile communication, user devices must undergo authentication, authorization, and session setup, all handled by the mobile core network (MCN). Thus, an MCN outage can critically disrupt these procedures and degrade the user quality of experience (QoE). To address this, we propose the soft guarantee MCN (SG-MCN), an architecture inspired by the soft guarantee behavior from three-tier web systems. This technique achieves quick responses by bypassing bottleneck-prone datatier processing and utilizing information from the application and presentation tiers. SG-MCN adopts this behavior to enhance resiliency while maintaining compliance with 3GPP security standards. Specifically, it verifies devices in a presentation-tierequivalent function using a device-side-encrypted identifier and a precomputed identifier from the data tier. Mutual authentication is then performed using a precomputed authentication vector. Authorization and session setup are speculatively performed using enriched per-device contexts retrieved in previous procedures. Emulation results demonstrate that the SG-MCN sustains QoE scores close to those of the MCN under normal conditions, even in normal conditions with additional processing overhead and in outage conditions where data-tier functions are unavailable.

When a cellular phone is lost or stolen, it may be used improperly or the personal information may be stolen from it by a malicious user. Biometric authentication such as palm-print recognition is the strongest of the personal authentication technologies designed to prevent such misuse. Ito et al. proposed several palmprint recognition schemes using correspondence matching based on the phase-only correlation among various schemes. However, these schemes require a palmprint image to be captured with the hand touching the dedicated device, while palmprint images must be captured without such physical contact when using cellular phones. Thus these schemes cannot be applied to cellular phones since there are large positioning gaps and large differences in brightness and distortion between the images. Furthermore, they are not implemented in the cellular phone and their performances are not evaluated either.