Hidden Markov Models and Alert Correlations for the Prediction of Advanced Persistent Threats
Abstract
Cyber security has become a matter of a global interest, and several attacks target industrial companies and governmental organizations. The advanced persistent threats (APTs) have emerged as a new and complex version of multi-stage attacks (MSAs), targeting selected companies and organizations. Current APT detection systems focus on raising the detection alerts rather than predicting APTs. Forecasting the APT stages not only reveals the APT...
Paper Details
Title
Hidden Markov Models and Alert Correlations for the Prediction of Advanced Persistent Threats
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
99508 - 99520
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