A Conceptual Framework for Neuro-Cognitive Identity Authentication (NCIA)

Traditional authentication mechanisms, rang- ing from knowledge-based passwords to static physio- logical biometrics, face increasing vulnerabilities re- garding theft, spoofing, and irreversibility. This paper proposes the Neuro-Cognitive Identity Authentication (NCIA) framework, a novel conceptual approach that models user identity as a probabilistic cognitive signa- ture rather than a static credential. Unlike standard be- havioral biometrics that focus on motor skills, NCIA authenticates users based on high-level cognitive reason- ing behaviors—such as decision latency, strategy prefer- ence, and error correction—captured during dynamic, structured challenges. We present a layered system ar- chitecture integrating a Dynamic Challenge Generator and a Profile Modeling Engine to extract and verify these cognitive feature vectors. The proposed framework aims to mitigate replay and imitation attacks by leverag- ing the inherent entropy and stability of human problem- solving patterns. This study details the system model, analyzes the security threat landscape, and discusses the feasibility of using cognitive reasoning as a complemen- tary, high-security authentication layer.