Telecom Italia S.p.a.

Rosalia D'Alessandro

Jovan Golic

Madalina Baltatu

Roberta D'Amico

Massimo Tistarelli

Enrico Grosso

Manuele Bicego

In method of protecting signaling messages in a hop-by-hop network communication link between a source node and a destination node, a source node public digital signature verification key and a respective source node private digital signature key associated with said public digital signature verification key are provided to the source node. The source node public digital signature verification key associated with the source node private digital signature key is also provided to the destination node. The source node builds a message including a sequence of Information Elements, and calculates, for each Information Element, an Information Element hash value. The source node also calculates a sequence hash value of a concatenation of the calculated Information Element hash values, and generates a source node digital signature by digitally signing the calculated sequence hash value. An intermediate node receives and forwards the signaling message to the destination node.

Protecting signaling messages in hop-by-hop network communication link

A method of detecting anomalies in a communication system, includes: providing a first packet flow portion and a second packet flow portion; extracting samples of a numerical feature associated with a traffic status of the first and second packet flow portions; computing from said extracted samples a first statistical dispersion quantity and a second statistical dispersion quantity of the numerical feature associated with the first and second packet flow portions, respectively; computing from the dispersion quantities a variation quantity representing a dispersion change from the first packet flow portion to the second packet flow portion; comparing the variation quantity with a comparison value; and detecting an anomaly in the system in response to said comparison.

Method of detecting anomalies in a communication system using numerical packet features

An automatic biometric identification method based on face recognition and support vector machines, includes enrolling a user to generate a user's reference template; and identifying the user based on the user's reference template, wherein generating a user's reference template includes acquiring a number of user's face images, and training a one-class support vector machine based on the user's face images only.

Automatic biometric identification based on face recognition and support vector machines

A user authentication method based on the use of identification biometric techniques, including the steps of generating a reference biometric template from a first biometric image of a user to be authenticated; splitting the reference biometric template into a first and a second reference biometric template portion that can be physically separated; signing and enciphering the first and the second reference biometric template portion; storing the signed and enciphered first and second reference biometric template portion into different memories.

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Turin, Italy

Rosalia D'Alessandro