Securing IMS against novel threats

Bell Labs Technical Journal

Volumn 14, Issue 1, 2009, Pages 243-257

  Wahl, Stefan ^a   Rieck, Konrad ^b   Laskov, Pavel ^c   Domschitz, Peter ^d   Müller, Klaus Robert ^b  

^a LUCENT TECHNOLOGIES   (United States)

^b TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^c UNIVERSITY OF DELAWARE   (United States)

^d Labs Service Infrastructure Research Department   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INTRUSION DETECTION;

COMMUNICATION TECHNOLOGIES; FIXED MOBILE CONVERGENCE; IP MULTIMEDIA SUBSYSTEMS; IP-BASED NETWORKS; MONITORING AND PROTECTIONS; NETWORK INTRUSION DETECTION; SECURITY VULNERABILITIES; ZERO DAY ATTACK;

INTERNET PROTOCOLS;

EID: 66749192137     PISSN: 10897089     EISSN: 15387305     Source Type: Journal    
DOI: 10.1002/bltj.20365     Document Type: Article

References (22)

1. M. Benedikt, A. Jeffrey, and R. Ley-Wild, "Stream Firewalling of XML Constraints," Proc. ACM SIGMOD Internat. Conf. on Management of Data (SIGMOD '08) (Vancouver, BC, Can., 2008), pp. 487-498.
2. M. Cortes, J. R. Ensor, and J. O. Esteban, "On SIP Performance," Bell Labs Tech. J., 9:3 (2004), 155-172.
3. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed., John Wiley & Sons, New York, 2001.
4. T. Joachims, Learning to Classify Text Using Support Vector Machines, Kluwer Academic Pub., Boston, MA, 2002.
5. C. Krügel, T. Toth, and E. Kirda, "Service Specific Anomaly Detection for Network Intrusion Detection," Proc. ACM Symposium on Applied Comput. (SAC '02) (Madrid, Sp., 2002), pp. 201-208.
6. P. Laskov, C. Gehl, S. Krüger, and K.-R. Müller, "Incremental Support Vector Learning: Analysis, Implementation and Applications," J. Mach. Learn. Res., 7 (Sept. 2006), 1909-1936.
7. W. Lee, S. J. Stolfo, and K. W. Mok, "A Data Mining Framework for Building Intrusion Detection Models," Proc. IEEE Symposium on Security and Privacy (S&P '99) (Oakland, CA, 1999), pp. 120-132.
8. K.-R. Müller, S. Mika, G. Rätsch, K. Tsuda, and B. Schölkopf, "An Introduction to Kernel-Based Learning Algorithms," IEEE Trans. Neural Networks, 12:2 (2001), 181-201.
9. K. Oberle, S. Wahl, T. Strauss, S. Braun, and C. Peña, Flexible Multi-Service Edge Router, MUSE Report D B1.10 v01, Dec. 21, 2006, .
10. M. Poikselkä, G. Mayer, H. Khartabil, and A. Niemi, The IMS: IP Multimedia Concepts and Services, John Wiley & Sons, Chichester, Eng., Hoboken, NJ, 2006.
11. K. Rieck and P. Laskov, "Detecting Unknown Network Attacks Using Language Models," Proc. 3rd Conf. on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA'06) (Berlin, Ger., 2006), pp. 74-90.
12. K. Rieck and P. Laskov, "Language Models for Detection of Unknown Attacks in Network Traffic," J. Comput. Virology, 2:4 (2007), 243-256.
13. K. Rieck and P. Laskov, "Linear-Time Computation of Similarity Measures for Sequential Data," J. Mach. Learn. Res., 9 (Jan. 2008), 23-48.
14. J. Rosenberg and C. Jennings, "The Session Initiation Protocol (SIP) and Spam," IETF RFC 5039, Jan. 2008, .
15. G. Salton, A. Wong, and C. S. Yang: "A Vector Space Model for Automatic Indexing," Commun. ACM, 18:11 (1975), 613-620.
16. B. Schölkopf, A. Smola, and K.-R. Müller, "Nonlinear Component Analysis as a Kernel Eigenvalue Problem," Neural Computation, 10:5 (1998), 1299-1319.
17. M. Sher, Secure Service Provisioning (SSP) Framework for IP Multimedia Subsystem (IMS), Ph.D. Dissertation, Technical University Berlin, Dec. 2007.
18. M. Siebert, B. Xu, M. Grigat, E. Weiss, N. Bayer, D. Sivchenko, T. R. Banniza, K. Wünstel, S. Wahl, R. Sigle, R. Keller, A. Dekorsy, M. Bauer, M. Söllner, J. Eichinger, C. Fan, F. Pittmann, R. Kühne, M. Schläger, I. Baumgart, R. Bless, and S. Stefanov, "ScaleNet-Converged Networks of the Future," IT-Inform. Technol., 48:5 (2006), 253-263.
19. D. Sisalem, S. Ehlert, D. Geneiatakis, G. Kambourakis, T. Dagiuklas, J. Markl, M. Rolos, O. Botron, J. Rodriguez, and J. Liu, Towards a Secure and Reliable VoIP Infrastructure, SNOCER Tech. Report D2.1, May 2005, .
20. D. M. J. Tax and R. P. W. Duin, "Support Vector Domain Description," Pattern Recognition Lett., 20:11-13 (1999), 1191-1199.
21. K. Wang, J. Parekh, and S. Stolfo, "Anagram: A Content Anomaly Detector Resistant to Mimicry Attack," Proc. 9th Internat. Symposium on Recent Advances in Intrusion Detection (RAID '06) (Hamburg, Ger., 2006), pp. 226-248.
22. S. Wanke, M. Scharf, S. Kiesel, and S. Wahl, "Measurement of the SIP Parsing Performance in the SIP Express Router," Proc. 13th Open Eur. Summer School and IFIP TC6.6 Workshop (EUNICE '07) (Enschede, Neth., 2007), published in Dependable and Adaptable Networks and Services, Lecture Notes in Comput. Sci. (LNCS 4606) (A. Pras and M. van Sinderen, eds.), Springer, Berlin, Heidelberg, New York, 2007, pp. 103-110.