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.
In this paper, we propose a novel approach of protocol reverse engineering to extract protocol keywords of unknown application from raw network traffic data without a prior knowledge about the application based on compression theory, entropy and variance analysis. We also present an efficient method to generate
limited computing resources. Practical issues such as the encryption of probabilities and the effect of finite precision on the accuracy of probabilistic inference are considered. The protocol is implemented in software and used for secure keyword recognition.
the significance of this problem, existing solutions are based on generic search for keywords in outgoing data, and hence severely lack the ability to control data flow at a fine granularity with low false positives. In this paper, we advocate a fine-grained approach to prevent confidential data from leaking out of the
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.