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This paper presents a fast multi-stage method for on-line detection of RTP streams and codec identification of transmitted voice or video traffic. The method includes an RTP detector that filters packets based on specific values from UDP and RTP headers. When an RTP stream is successfully detected, codec identification is applied using codec feature sets. The paper shows advantages and limitations of the method and its comparison with other approaches. The method was implemented as a part of network forensics framework NetFox developed in project SEC6NET. Results show that the method can be successfully used for Lawful Interception as well as for network monitoring.

On the Use of the ISBAS Acronym in InSAR Applications. Comment on Vajedian, S.; Motagh, M.; Nilfouroushan, F. StaMPS Improvement for Deformation Analysis in Mountainous Regions: Implications for the Damavand Volcano and Mosha Fault in Alborz.

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Network monitoring is an essential task of network management. Information obtained by monitoring devices gives a real picture of the network in production including transmitted data volumes, top hosts, a list of frequently used applications etc. Deep analysis of data collected by monitoring can reveal network attacks or detect misuse of network services. In addition, Data Retention Act requires each ISP to track user's activities. Protocol IPv6 puts new challenges for network administrators in the context of user identification. Unlike IPv4, an IPv6 address no longer uniquely identifies a user or Pc. IPv6 address can be randomly generated and keeps changing in time. pes with IPv6stack can also communicate via predefined tunnels over IPv4 infrastructure. That tunneled traffic mostly bypasses network security implemented via firewalls. In this paper, we identify major monitoring and security issues of IPv6 connectivity and propose a solution based on SNMP and Netflow data that helps to uniquely identify users. The solution requires an extended set of monitoring data to be collected from network devices.We present a new data structure based on extended Netflow records. Feasibility of the approach is demonstrated on the Brno University of Technology (BUT) campus network.