Abstract: Methods, media, and systems for securing communications between a first node and a second node are provided. In some embodiments, methods for securing communication between a first node and a second node are provided. The methods comprising: receiving at least one model of behavior of the second node at the first node; and authorizing the first node to receive traffic from the second node based on the difference between the at least one model of behavior of the second node and at least one model of behavior of the first node.

Abstract: Methods, media, and systems for securing communications between a first node and a second node are provided. In some embodiments, methods for securing communication between a first node and a second node are provided. The methods comprising: receiving at least one model of behavior of the second node at the first node; and authorizing the first node to receive traffic from the second node based on the difference between the at least one model of behavior of the second node and at least one model of behavior of the first node.

Abstract: Methods, media, and systems for securing communications between a first node and a second node are provided. In some embodiments, methods for securing communication between a first node and a second node are provided. The methods comprising: receiving at least one model of behavior of the second node at the first node; and authorizing the first node to receive traffic from the second node based on the difference between the at least one model of behavior of the second node and at least one model of behavior of the first node.

Abstract: Methods, media, and systems for securing communications between a first node and a second node are provided. In some embodiments, methods for securing communication between a first node and a second node are provided. The methods comprising: receiving at least one model of behavior of the second node at the first node; and authorizing the first node to receive traffic from the second node based on the difference between the at least one model of behavior of the second node and at least one model of behavior of the first node.

Abstract: Methods, media, and systems for securing communications between a first node and a second node are provided. In some embodiments, methods for securing communication between a first node and a second node are provided. The methods comprising: receiving at least one model of behavior of the second node at the first node; and authorizing the first node to receive traffic from the second node based on the difference between the at least one model of behavior of the second node and at least one model of behavior of the first node.

Abstract: The method uses a computer device to receive as inputs socio-economic data of a region during a definite time period representing an economic time series that are stored in a first database, comprising: computing, during the same definite time period, the average values of each of a plurality of anonym and aggregated call records generated by individuals using a plurality of base stations of said region obtaining calling variables and computing from said calling variables calling variables' time series representing average temporal usage statistics that are stored in a second database; and building from said economic time series and said computed calling variables time series a model to forecast future values of the economic time series of said region.

Abstract: A method for the construction of commuting matrices using call detail records, computer programs and a use for providing user's mobility information, including computing mechanism for constructing a commuting matrix according to phone call records of a user. The method includes: a) providing a user's origin time range; b) providing a user's destination time range or second user's origin time range; c) constructing the commuting matrix based on call detail records using the user's origin time range and the user's destination time range; d) comparing the commuting matrix with a predetermined ground truth matrix and obtaining a comparison result; and e) optimizing the origin time range and/or destination time range based on the comparison result.

Abstract: The method includes a computing mechanism running in a computer device receiving as inputs, the geographical region R, base stations giving coverage to the geographical region R and call records generated by individuals using the base stations. Prediction of the socioeconomic level is automatically performed by using information during a given time period from the call records. The computer programs include code adapted for computing the average socioeconomic value for each coverage region and computing a set of variables when the program is run on a computer.

Abstract: A method, computer programs and a use for automatic identification and classification of land uses. The method including a computing mechanism running in a computer device receiving as inputs, a geographical region R, a plurality of base stations giving coverage to the geographical region R and a call records generated by individuals using the base stations, and performing automatically the identification and classification of land uses by making use of information extracted during a given time period from the call records. The programs include code adapted to perform the approximation of each coverage region when the program is run on a computer, and to perform a comparison when the program is run on a computer.

Abstract: A method, computer programs and a use for automatic identification and classification of land uses. The method including a computing mechanism running in a computer device receiving as inputs, a geographical region R, a plurality of base stations giving coverage to the geographical region R and a call records generated by individuals using the base stations, and performing automatically the identification and classification of land uses by making use of information extracted during a given time period from the call records. The programs include code adapted to perform the approximation of each coverage region when the program is run on a computer, and to perform a comparison when the program is run on a computer.

Abstract: A method for the construction of commuting matrices using call detail records, computer programs and a use for providing user's mobility information, including computing mechanism for constructing a commuting matrix according to phone call records of a user. The method includes: a) providing a user's origin time range; b) providing a user's destination time range or second user's origin time range; c) constructing the commuting matrix based on call detail records using the user's origin time range and the user's destination time range; d) comparing the commuting matrix with a predetermined ground truth matrix and obtaining a comparison result; and e) optimizing the origin time range and/or destination time range based on the comparison result.

Abstract: It comprises defining the residential location of one or more users according to his mobile phone activity during a time pattern comprising at least one specific period of time. It also comprises carrying out said residential localization by automatically carrying out the next steps: a) determining said time pattern, or residential calling pattern, from mobile phone-call data (such as that included in CDRs) of a plurality of users whose residential locations are known a priori, such as users with a contract, and b) applying said determined residential calling pattern to mobile phone-call data (such as that included in CDR) of one or more users whose residential location is unknown, such as anonymized users or pre-paid customers, in order to determine their residential location as that at which at least one call has been made with their mobile phone within said specific period included in said residential calling pattern.

Abstract: Method for an automatic identification of urban dense areas from cell phones records, by using a computing device that receives as inputs: a geographical region R, a time period ?t for which dense areas in the region R need to be computed, a set of BTSs in the region R, a set of CDRs generated by individuals during the time period ?t using the set of BTSs of the region R, a coverage C and a granularity ?.

Abstract: The invention relates to a method for gender identification of a cell-phone subscriber. There are two main steps: constructing a general model of female and male calling behaviour from a set of variables obtained for each subscriber; and classifying an individual calling behaviour of a subscriber comparing it with the general model. The method includes the step of constructing the general model comprises obtaining a set of data, that may be obtained from calling detail records, that are saved at a database every time a subscriber makes or receives a phone call; computing a set of variables using a set of instances from subscribers who their gender is already known; and applying an algorithm which generates groups labelled as male or female behaviour. Finally, in the step of classifying, the gender of the subscriber is identified by assigning to the subscriber the label of the closest group.

Abstract: Method for an automatic identification of urban dense areas from cell phones records, by using a computing device that receives as inputs: a geographical region R, a time period ?t for which dense areas in the region R need to be computed, a set of BTSs in the region R, a set of CDRs generated by individuals during the time period ?t using the set of BTSs of the region R, a coverage C and a granularity ?.

Abstract: The invention relates to a method for gender identification of a cell-phone subscriber. There are two main steps: constructing a general model of female and male calling behaviour from a set of variables obtained for each subscriber; and classifying an individual calling behaviour of a subscriber comparing it with the general model. The method includes the step of constructing the general model comprises obtaining a set of data, that may be obtained from calling detail records, that are saved at a database every time a subscriber makes or receives a phone call; computing a set of variables using a set of instances from subscribers who their gender is already known; and applying an algorithm which generates groups labelled as male or female behaviour. Finally, in the step of classifying, the gender of the subscriber is identified by assigning to the subscriber the label of the closest group.

Abstract: Methods, media, and systems for securing communications between a first node and a second node are provided. In some embodiments, methods for securing communication between a first node and a second node are provided. The methods comprising: receiving at least one model of behavior of the second node at the first node; and authorizing the first node to receive traffic from the second node based on the difference between the at least one model of behavior of the second node and at least one model of behavior of the first node.