LiaaS: Lawful Interception as a Service

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

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    Abstract

    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.

    Original languageEnglish
    Title of host publication2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
    PublisherIEEE
    Pages268-273
    Number of pages6
    ISBN (Electronic)978-9-5329-0087-3
    DOIs
    Publication statusPublished - 2018
    MoE publication typeA4 Conference publication
    EventInternational Conference on Software, Telecommunications and Computer Networks - Split, Croatia
    Duration: 13 Sept 201815 Sept 2018
    Conference number: 26

    Publication series

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

    Conference

    ConferenceInternational Conference on Software, Telecommunications and Computer Networks
    Abbreviated titleSoftCOM
    Country/TerritoryCroatia
    CitySplit
    Period13/09/201815/09/2018

    Keywords

    • Lawful Interception
    • Machine Learning
    • Automated Minutes
    • Automated Audio Analysis
    • Automated Video Analysis

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