Motivational Quotes-Based Intelligent Insider Threat Prediction Model

Abstract

Insiders are considered as the weakest link. The digital records of a person's Facebook likes against motivational quotes can be used for automatic and accurate prediction of sensitive attributes related to their personality traits depression, and their views against company/government policies, etc. Such analysis will help organization to take proactive measures against vulnerable insiders. Insiders managing their impressions differently than their basic personality traits can also be identified. Deep learning models can be utilized to learn and map the association among extracted features and insider behavioral patterns. Further, reinforcement techniques can be used to select appropriate motivational quotes in order to collect additional data required for further analysis. At the same time, the same exposed motivational messages on insider's social platform can aid to improve their psychological health over a time. However, due to implications involved in data collections related to personalization and data collection privacy, the authors have quoted their work in terms of this concept chapter only.