| Title | A Symptomatic Framework to Predict the Risk of Insider Threats |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Ikany, Joris, Jazri, Husin |
| Conference Name | 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) |
| Keywords | Collaboration, Critical assets, critical infrastructure, critical infrastructure organisation, critical infrastructures, Engines, Human Behavior, Information security, information security threats, insider threat, insider threat events, insider threat framework for Namibia critical infrastructure organization, Insider Threat Scoring Engine (ITSE), Interviews, ITFNACIO, Metrics, policy-based governance, pubcrawl, resilience, Resiliency, risk management, security of data, symptomatic analysis, Symptomatic Analysis (SA), symptomatic insider threat risk assessment framework, Tools |
| Abstract | The constant changing of technologies have brought to critical infrastructure organisations numerous information security threats such as insider threat. Critical infrastructure organisations have difficulties to early detect and capture the possible vital signs of insider threats due sometimes to lack of effective methodologies or frameworks. It is from this viewpoint that, this paper proposes a symptomatic insider threat risk assessments framework known as Insider Threat Framework for Namibia Critical Infrastructure Organization (ITFNACIO), aimed to predict the probable signs of insider threat based on Symptomatic Analysis (SA), and develop a prototype as a proof of concept. A case study was successfully used to validate and implement the proposed framework; hence, qualitative methodology was employed throughout the whole research process where two (2) insider threats were captured. The proposed insider threat framework can be further developed in multiple cases and a more automated system able to trigger an early warning system of possible insider threat events. |
| DOI | 10.1109/ICABCD.2019.8851020 |
| Citation Key | ikany_symptomatic_2019 |
A Symptomatic Framework to Predict the Risk of Insider Threats