Other

Vodafone Group Plc.

Politecnico Di Torino

Vodafone Omnitel N.v.

Massimo Perino

Marco Mellia

Dario Rossi

Michela Meo

The invention relates to a method and a system for detecting a single data flow in an aggregate packet data flow and identifying the application generating the single data flow, this single data flow being divided into messages, each message comprising a plurality of blocks, each block (g) having n bits for identifying 2block values (i). The method comprises the steps of providing, for each block value (i), an expected frequency value (E), measuring, for a predefined number (G) of blocks (g), the values Formula (I) of frequency with which each block (g) identifies each block value (i) so as to obtain a plurality of measured frequency values Formula (I), processing, for each block (g), the measured frequency values Formula (I) and the expected frequency values (E) in order to generate a frequency deviation value Formula (II) representative of the deviation of the measured frequency values Formula (I) with respect to the expected frequency values (E), and processing the frequency deviation values Formula (II) generated for each block (g) with at least one frequency deviation threshold value (&#x3c7;) in order to detect the single data flow and identify the application generating said single data flow.

Method and system for detecting a single data flow in an aggregate packet data flow and for identifying the application generating said single data flow

The invention concerns a method and an apparatus for detecting vocal data flow in a packet data flow characterised by at least two measurable variables (X5Y). A distribution function (P{x 1 C}, P{y I C}) is provided of the values of each variable (X5Y) in a vocal data flow, and the values (x,y) of each variable (X,Y) are measured in order to obtain a sequence of measured values (x, y) on a number (k) of blocks. Each measured value (x, y) is therefore applied to the respective distributiion function (P{x 1 C}, P{yI C}) in order to generate a sequence of likelihood values Formula (I) from which respective average likelihood values (E [B],E[B]) are generated. The average values are processed in order to generate a reference likelihood value (B) which, when compared with a threshold likelihood value (B) enables the presence of vocal data flow in a packet data flow to be detected.

Method and apparatus for detecting vocal data flow in a packet data flow

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Turin, Italy

Massimo Perino