LiaaS: Lawful Interception as a Service

Mehrnoosh Monshizadeh*, Vikramajeet Khatri, Mohammadali Varfan, Raimo Kantola

*Tämän työn vastaava kirjoittaja

    Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

    577 Lataukset (Pure)

    Abstrakti

    Machine learning techniques are the key to success for big data analytics in forthcoming 5G and cloud networks. Internet Service Providers (ISPs) and mobile networks are still relying on traditional Lawful Interception (LI) mechanisms that use error prone meta data and are vulnerable to cyber-attacks. While new identity methods are used to monitor suspected end users, the major challenge is the amount of data that needs to be monitored to find the traffic of interest related to the specific targets. On the other hand, for a conversation (audio or video) between two or multiple attendees, such as a conference call or interview, extracting, briefing and classifying important information can be prone to errors and exhaustion of resources if it is done by humans. This paper proposes an intelligent, secure, fast and reliable platform called Lawful interception as a Service (LiaaS) to detect, analyze and intercept content from different media such as voice and video call. The proposed platform also extracts the minutes of conversation and the most important information from the media (audio or video) so any desired detail can be searched from it.

    AlkuperäiskieliEnglanti
    Otsikko2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
    KustantajaIEEE
    Sivut268-273
    Sivumäärä6
    ISBN (elektroninen)978-9-5329-0087-3
    DOI - pysyväislinkit
    TilaJulkaistu - 2018
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
    TapahtumaInternational Conference on Software, Telecommunications and Computer Networks - Split, Kroatia
    Kesto: 13 syysk. 201815 syysk. 2018
    Konferenssinumero: 26

    Julkaisusarja

    NimiInternational Conference on Software, Telecomm unications and Computer Networks
    ISSN (elektroninen)1847-358X

    Conference

    ConferenceInternational Conference on Software, Telecommunications and Computer Networks
    LyhennettäSoftCOM
    Maa/AlueKroatia
    KaupunkiSplit
    Ajanjakso13/09/201815/09/2018

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