A psychographic framework for online user identification

The borderline separating users on the Internet is limited to the classical object-system identifiers such as users-login-ID, and network parameters, which is assumed to belong to a benign user. These assumptions provide subtle platform for malicious action in addition to exploitation of the vulnerability in online anonymity. The study proposes a human-system identifier framework based on the integration of psychosocial attributes of human into Internet traffic classification process, such that sufficient unique psychographics demography of users can be extracted. Such user psychographic characterization can be complementary method in user identification process. The implication of this paradigm can be adapted for insider investigation process, online transaction authentication process, e-commerce modeling. Further, it finds relevance in network management, especially in a mono-demographical culture.