The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Polymorphic attacks threaten to make many intrusion detection schemes ineffective. In order to address the threat of advanced attacks, model based techniques are required. In this paper we improve our Grammar Based Modeling techniques to be more resilient to attacks that change in form by using advanced classification techniques. Similarity distances from known models are input as features input to...
In this paper we propose an intrusion prevention system (IPS) which operates inline and is capable to detect unknown attacks using anomaly detection methods. Incorporated in the framework of a packet filter each incoming packet is analyzed and -- according to an internal connection state and a computed anomaly score -- either delivered to the production system, redirected to a special hardened system...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.