Adapting Econometric Models, Technical Analysis and Correlation Data to Computer Security Data

Guaranteeing the safety of computers connected to the Internet is a challenging task. Despite the efforts of contemporary security software, the threat remains due to the incapability of existing software to predict and prevent the variance of attacks. According to recent studies, new computer malware appears at an almost constant rate, making their confrontation a rather difficult task and therefore creating a need for a different approach that will increase the effectiveness of security software. This paper introduces forecasting models and techniques from the financial world. Some possible approaches are investigated, such as the correlation between computer malware incidents and extracted data from electronic social networks, that could possibly lead to effective forecasting, in an attempt to come up with new ways for preventing imminent computer epidemics.