Abstract: A method for setting a security level of wireless sensors communicating with a switch. The method includes in a security device linked to the switch: collecting data frames sent from the wireless sensors to the switch and creating a dataset containing the collected data frames; identifying patterns associated with the wireless sensors from the collected data frames; introducing simulated traffic anomalies in the dataset with respect to the traffic patterns; randomizing the dataset and dividing the randomized dataset into a training dataset and a testing dataset; training, using the training dataset, a machine learning model configured for detecting traffic anomalies, and validating the machine learning model; detecting a traffic anomaly for a wireless sensor by analyzing current data frames and using the validated machine learning model; triggering a security alert based on the detected traffic anomaly; and adapting a security level for the wireless sensor based on the security alert.

Abstract: An apparatus for configuration of a second communication device intended to replace a first communication device, including: a mechanical part adapted to complete the structure of the first communication device and the structure of the second communication device, and a RFID tag linked to a processing unit and a memory. The RFID tag includes a receiver configured to receive a first input signal from a first RFID reading device located in the first communication device, wherein the first input signal includes configuration data of the first communication device, when the apparatus is linked to the first communication device. The processing unit is configured to store the configuration data in the memory. The receiver is further configured to receive a second input signal from a second RFID reading device located in the second communication device, wherein the second input signal includes a request for configuration data, when the apparatus is linked to the second communication device.

Abstract: A method for setting a security level of wireless sensors communicating with a switch, the method including in a security device linked to the switch: collecting data frames sent from the wireless sensors to the switch and creating a dataset containing the collected data frames; identifying patterns associated with the wireless sensors from the collected data frames, each pattern being based on a periodic time interval for sending two consecutive data frames by a wireless sensor or based on a number of data frames sent by a wireless sensor during a time interval of usage; introducing simulated traffic anomalies in the dataset with respect to the traffic patterns; randomizing the dataset and dividing the randomized dataset in a training dataset and in a testing dataset, wherein the training dataset contains more data frames than the testing dataset; training, by using the training dataset, a machine learning model configured for detecting traffic anomalies, and validating the machine learning model if the t

Abstract: A method for managing mobility of communication devices, wherein a gateway manager is connected to a set of gateways, each gateway being paired with at least one communication device through wireless links and each communication device being paired to only one gateway, wherein a first database linked to the gateway manager includes primary vectors containing an identifier of a gateway, an identifierof communication device and quality metrics, the method including: the gateways storing, for each received message sent from communication devices, a secondary vectorincluding an identifier of the communication device, a timestamp and quality metrics pertaining to the radio link between the gateway and the communication device, the gateway manager collecting the secondary vectors from all the gateways and storing the collected secondary vectors in correspondence respectively with identifiers of the gateways in a manager database, the gateway manager selecting, based on the quality metrics, a secondary vector among