LiaaS: Lawful Interception as a Service
Loading...
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A4 Artikkeli konferenssijulkaisussa
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Date
2018
Department
Department of Communications and Networking
Major/Subject
Mcode
Degree programme
Language
en
Pages
6
Series
2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), pp. 268-273, International Conference on Software, Telecomm unications and Computer Networks
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.Description
Keywords
Lawful Interception, Machine Learning, Automated Minutes, Automated Audio Analysis, Automated Video Analysis
Other note
Citation
Monshizadeh, M, Khatri, V, Varfan, M & Kantola, R 2018, LiaaS: Lawful Interception as a Service . in 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) . International Conference on Software, Telecomm unications and Computer Networks, IEEE, pp. 268-273, International Conference on Software, Telecommunications and Computer Networks, Split, Croatia, 13/09/2018 . https://doi.org/10.23919/SOFTCOM.2018.8555753