Computer Science – Cryptography and Security
Scientific paper
2010-06-14
Actes du symposium SSTIC (2006)
Computer Science
Cryptography and Security
16 pages, 3 figures. Symposium sur la S\'ecurit\'e des Technologies de l'Information et des Communications (SSTIC), Rennes, Fr
Scientific paper
We present an application of Artificial Intelligence techniques to the field of Information Security. The problem of remote Operating System (OS) Detection, also called OS Fingerprinting, is a crucial step of the penetration testing process, since the attacker (hacker or security professional) needs to know the OS of the target host in order to choose the exploits that he will use. OS Detection is accomplished by passively sniffing network packets and actively sending test packets to the target host, to study specific variations in the host responses revealing information about its operating system. The first fingerprinting implementations were based on the analysis of differences between TCP/IP stack implementations. The next generation focused the analysis on application layer data such as the DCE RPC endpoint information. Even though more information was analyzed, some variation of the "best fit" algorithm was still used to interpret this new information. Our new approach involves an analysis of the composition of the information collected during the OS identification process to identify key elements and their relations. To implement this approach, we have developed tools using Neural Networks and techniques from the field of Statistics. These tools have been successfully integrated in a commercial software (Core Impact).
Burroni Javier
Sarraute Carlos
No associations
LandOfFree
Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-103969