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.
This paper studies a stochastic game theoretic approach to security and intrusion detection in communication and computer networks. Specifically, an Attacker and a Defender take part in a two-player game over a network of nodes whose security assets and vulnerabilities are correlated. Such a network can be modeled using weighted directed graphs with the edges representing the influence among the nodes...
Recent security incidents and analysis have demonstrated that current intrusion detection systems (1DS) to some attacks are no longer feasible. Implementing an effective intrusion detection capability is an elusive goal, not solved easily or with a single mechanism. However, we argue that "SoftMan" (SM) technology goes a long way toward realizing the ideal behavior desired in an intrusion...
This paper compares disease with network vulnerability by their definitions and characteristics. A mapping between disease and vulnerability is built based on their similarities. We put forward a novel model of vulnerabilities in computer networks by simulating the reverse of cause-result of disease. Based on the model, a quantitative metric for vulnerabilities of computer networks is presented. The...
An immune method for real-time computer network security risk evaluation is proposed. The concepts of self, nonself, antigen and immunocyte of computer immune system are defined. The dynamic model of self, marrow model, clone selection, learning scheme, life span of immunocyte are built. A computational model of risk evaluation based on the antibody concentration of memory immunocytes for network...
In this paper, a method combining Bayesian statistical model with function of time slicing is presented, which is used for network anomaly detection. By using Bayesian statistical model with time function, the method is intended to find and determine anomaly in the computer network. Combining the advantages of Bayesian theorem when solving uncertain problems with the function whose network traffic...
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.