Stochastic Modeling of Human-Machine Authentication Channels under Partial Information Leakage
Reliable and secure human-machine communication is fundamental to IoT and cyber-physical ecosystems, where smartphones and wearables commonly serve as authentication controllers. PIN-based authentication can be viewed as a low-bandwidth communication channel through which users transmit numeric credentials under practical constraints. However, conventional evaluations adopt a binary view of security-treating such channels as either fully secure or fully compromised-thereby overlooking the progressive reliability degradation caused by partial information leakage in real-world IoT settings. In this paper, we model the PIN entry process as a stochastic human-IoT communication system and prop...
| Authors | Nilesh Chakraborty, Mohammad Zulkernine, Burak Kantarci |
|---|---|
| Primary category | cs.CR |
| Published | 3 May 2026 |
| Last updated at source | 3 May 2026 |
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