The Experts below are selected from a list of 534 Experts worldwide ranked by ideXlab platform

Alain Cagnati - One of the best experts on this subject based on the ideXlab platform.

  • visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.

  • DASFAA (2) - Visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.

Amyn Bennamane - One of the best experts on this subject based on the ideXlab platform.

  • visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.

  • DASFAA (2) - Visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.

Esti Peshin - One of the best experts on this subject based on the ideXlab platform.

  • ICDF2C - Regulating Social Network Services for Lawful Interception
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2014
    Co-Authors: Esti Peshin
    Abstract:

    Lawful Interception has evolved over the past decades from the target based monitoring and Interception of telecomm conversations, to the monitoring and Interception of packet switched communications. The Lawful monitoring and Interception of both telecomm and packet switched communications is regulated by law enforcement agencies, with the cooperation, under the Lawful Interception regulation and legislation, of the service providers.

  • Regulating Social Network Services for Lawful Interception
    Digital Forensics and Cyber Crime, 2014
    Co-Authors: Esti Peshin
    Abstract:

    Lawful Interception has evolved over the past decades from the target based monitoring and Interception of telecomm conversations, to the monitoring and Interception of packet switched communications. The Lawful monitoring and Interception of both telecomm and packet switched communications is regulated by law enforcement agencies, with the cooperation, under the Lawful Interception regulation and legislation, of the service providers.Social networks are also a means of communicating; but the nature of communication therein is extremely more complex, as it allows both for linear communication (one to one) and broadcasting of information (one to many/crowd) to selected groups and communities.Social networks are a haven for criminals and insurgents. The open nature of the media provides criminals with ample access to potential victims and provides insurgents with a virtual Hyde Park, where they can openly voice their opinions, gain followers and instigate and organize disruptive activities.The nature of the communication within social networks, the ease of establishing fake identities therein, the fact that the client-server communication can be encrypted, and the huge amount of data that passes through these networks on a daily basis - however, are far from law-enforcement friendly. Furthermore, the fact that social networks are operated by commercial, usually foreign based, companies, which do not necessarily adhere to the local Lawful Interception legislation and regulation, increases the challenge of monitoring of communication with social media.The paper will discuss the technological challenges that law-enforcement agencies face when trying to monitor social networks, and the technological, regulatory and legislative provisions that can and should be put in place, by the operators of the Social Network Services and local law enforcement agencies, in order to prevent social network services from continuing to foster criminals and insurgents. This paper is based on public domain information.

  • ICDF2C - Law Enforcement 2.0: Regulating the Lawful Interception of Social Media
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2012
    Co-Authors: Esti Peshin
    Abstract:

    Lawful Interception (LI) has evolved over the past few decades from target based monitoring & Interception of telecomm conversations, to the monitoring & Interception of packet switched (IP) communications. However, in spite of this evolution, the nature of the communication remained linear, where the initiator communicates with one, or a number of, recipients. Initially, with telecomm, all of the participants in the call were online, i.e. active participants at the time of the call; whereas, with the introduction of packet-switched or IP traffic, some of the interaction between the participants became turn-based, where the recipients receive the information from the initiator after an interval. Notwithstanding spam, the participants, more often than not, opted to receive the information.

Arnaud Ansiaux - One of the best experts on this subject based on the ideXlab platform.

  • visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.

  • DASFAA (2) - Visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.

Hakim Hacid - One of the best experts on this subject based on the ideXlab platform.

  • visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.

  • DASFAA (2) - Visual analysis of implicit social networks for suspicious behavior detection
    Database Systems for Advanced Applications, 2011
    Co-Authors: Amyn Bennamane, Hakim Hacid, Arnaud Ansiaux, Alain Cagnati
    Abstract:

    In this paper we show how social networks, implicitly built from communication data, can serve as a basis for suspicious behavior detection from large communications data (landlines and mobile phone calls) provided by communication services providers for criminal investigators following two procedures: Lawful Interception and data retention. We propose the following contributions: (i) a data model and a set of operators for querying this data in order to extract suspicious behavior and (ii) a user friendly and easy-to-navigate visual representation for communication data with a prototype implementation.