In this paper. we propose a machine learning methodology for prediction of signaling sessions established with the Session Initiation Protocol (SIP). Given the increasing importance of predicting and detecting abnormal sequences of SIP messages to avoid SIP signaling-based attacks. we first propose a Bayesian inference method capable of representing the statistical relation between a ... https://jalyttlers.shop/product-category/cannister/