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.
We discuss the need for adaptive load control in network security environments in order to cope with the increasing bandwidth requirements. In earlier work, we developed a simple model to study the behavior of feedback loops for self-configuring security environments. We primarily considered the traffic between the monitoring probes, the IDS systems, and associated firewalls. We now enhanced the model...
In this paper, we put forward a model of multi-agent based on intrusion detection system for wireless sensor networks, and a new method of detection called refined clustering, which is suggested running on some agents. In this new method we use self-organizing map (SOM) neural network to cluster roughly the samples, and the next step the K-means clustering algorithm is adopted to refine the clustering...
Studying biologically inspired systems had received a great interest in few last years. Artificial neural networks, evolutionary computation, DNA computation, and artificial immune systems are some of the researcher interest which can be highlighted. The human immune system (HIS) is a compound of molecules, cells, and organs which has established to perform several tasks; imperfect detection, distributed...
Recently, immunology inspiration has been more flourishing in helping to put up the wonderful defense, basically in securing ad hoc networks. Imperfect detection, anomaly detection, memory response, diversity, and adaptive detection, all are some of the immune features that offer a worthy concept for solving security problems. The essence of the immune system is the ability to discriminate between...
Recently network intrusion detection is one of the hottest research topics. Existing network-based Intrusion Detection System (IDS) has drawbacks in many aspects, among of which the two outstanding problems are the high ratio of false alarms and the lack of self-adaptation. The powerful information processing capabilities of the biological immune system, such as feature extraction, pattern recognition,...
This paper proposes a new approach of modeling the collaboration of sensor system artifacts to address the security and survivability concerns of sensor networks. The model considered is composed of sensors, base and users. Sensors are nodes that acquire and process data. Base is the node that acquires and processes data from sensors and provides an interface to access and monitor the sensor network...
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.