1. A method of detecting unwanted conversational media sessions, said method comprising: obtaining a sequence of significant attributes directly from a bit-stream corresponding to a real-time conversational media session; evaluating similarity between the sequence of significant attributes associated with the real-time conversational media session and same significant attributes corresponding to a reference data item taken from a previous conversational media session and output an evaluation result; and determining based on the evaluation result, whether the real-time conversational media session is wanted or unwanted.
1. A method of detecting unwanted conversational media sessions, said method comprising: obtaining a sequence of significant attributes directly from a bit-stream corresponding to a real-time conversational media session; evaluating similarity between the sequence of significant attributes associated with the real-time conversational media session and same significant attributes corresponding to a reference data item taken from a previous conversational media session and output an evaluation result; and determining based on the evaluation result, whether the real-time conversational media session is wanted or unwanted. 5. The method according to claim 1 , further comprising utilizing an intermediary conversational media session monitoring node to intercept real-time conversational media session data traversing the network, wherein said calculating and evaluating is performed in respect of the intercepted real-time conversational media session data and a previously intercepted conversational media session.