Rudolf Jäger

Publications (3)0 Total impact

• Conference Proceeding: Poster: Destabilizing BitTorrent's clusters to attack high bandwidth leechers.

  Florian Adamsky, Hassan Khan, Muttukrishnan Rajarajan, Syed Ali Khayam, Rudolf Jäger
  Proceedings of the 18th ACM Conference on Computer and Communications Security, CCS 2011, Chicago, Illinois, USA, October 17-21, 2011; 01/2011
• Source

  Available from: ac.uk

  Conference Proceeding: Enhancements to Statistical Protocol IDentification (SPID) for Self-Organised QoS in LANs.

  Christopher Köhnen, Christian Überall, Florian Adamsky, Veselin Rakocevic, Muttukrishnan Rajarajan, Rudolf Jäger
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  ABSTRACT: Since most real-time audio and video applications lack of QoS support, QoS demand of such IP data streams shall be detected and applied automatically. To support QoS in LANs, especially in home environments, a system was developed, which enables self-organised QoS for unmanaged networks through host implementations in contrast to traditional solutions without network support. It supports per-link reservation and prioritisation and works without a need for application support. One part of this system is an automated traffic identification and classification system, which is subject of this paper. An efficient set of attribute meters, based on the Statistical Protocol IDentification (SPID), was investigated, enhanced and evaluated. We improved the performance, added support for UDP protocols and real-time identification. It is shown that using our implementation efficient near real-time protocol identification on per-flow basis is possible to support self-organised resource reservation.
  Proceedings of the 19th International Conference on Computer Communications and Networks, IEEE ICCCN 2010, Zürich, Switzerland, August 2-5, 2010; 01/2010
• Conference Proceeding: Recommendation index for DVB content using Service information.

  Christian Überall, Muttukrishnan Rajarajan, Veselin Rakocevic, Rudolf Jäger, Christopher Köhnen
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  ABSTRACT: This paper presents algorithms and techniques to generate recommendations for DVB content. The developed recommendation engine uses metadata which are delivered by the DVB transport stream, the Service Information. The creation of user profiles, which contains the preferences of an individual user, is described. Personalization strategies, to filter the interesting contents for each user, will be shown. Furthermore new developed and firstly presented algorithms to generate recommendations for DVB content are listed and described. A PPG (Personal Program Guide), which has been developed to visualize the recommendations is shown, too. Several tests show the usefulness of the developed recommendation scheme.
  Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, June 28 - July 2, 2009, New York City, NY, USA; 01/2009