A Novel Signature Generation Approach in Noisy Environments for Detecting Polymorphic Worm
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-49148-6_10
Reference24 articles.
1. Antonatos, S., Akritidis, P., Markatos, E.P., Anagnostakis, K.G.: Defending against hitlist worms using network address space randomization. Comput. Netw. 51(12), 3471–3490 (2007). Elsevier
2. Bilge, L., Dumitras, T.: Before we knew it: an empirical study of zero-day attacks in the real world. In: Proceedings of ACM conference on Computer and communications security (CCS 2012), New Carolina, pp. 833–844, October 2012
3. Talbi, M., Mejri, M., Bouhoula, A.: Specification and evaluation of polymorphic shellcode properties using a new temporal logic. J. Comput. Virol. 5(3), 171–186 (2009)
4. Stephenson, B., Sikdar, B.: A quasi-species approach for modeling the dynamics of polymorphic worm. In: IEEE Infocom, Barcelona, Catalunya, pp. 1–12 (2006)
5. Song, Y., Locasto, M.E., Stavrou, A., Keromytis, A.D., Stolfo, S.J.: On the infeasibility of modeling polymorphic shellcode. In: Proceedings of the 14th ACM Conference on Computer and Communications Security, Alexandria, Virginia, USA, pp. 541–551 (2007)
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