LiaaS: Lawful Interception as a Service

  title={LiaaS: Lawful Interception as a Service},
  author={Mehrnoosh Monshizadeh and Vikramajeet Khatri and Mohammadali Varfan and R. Kantola},
  journal={2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)},
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… Expand


Modern Day Challenges for Lawful Intercept By :
Overview Law Enforcement Agencies must take into account the full spectrum of communication “applications” including voice, VoIP, E-mail, and the everincreasing number of social networking,Expand
An Intelligent Defense and Filtration Platform for Network Traffic
The use of linear algorithms in conjunction with learning algorithms allows the HADM to achieve improved efficiency in terms of accuracy and computation time in order to detect cyber-attacks over existing solutions. Expand
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