LiaaS: Lawful Interception as a Service

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

Researchers

Research units

  • Nokia Bell Labs
  • Bonn-Rhein-Sieg University of Applied Sciences

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.

Details

Original languageEnglish
Title of host publication2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Software, Telecommunications and Computer Networks - Split, Croatia
Duration: 13 Sep 201815 Sep 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
CountryCroatia
CitySplit
Period13/09/201815/09/2018

    Research areas

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

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