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.
One way to minimize threats in P2P system is to exploit reputation to help evaluate the trustworthiness and predict the future behaviors of peers. In this paper, a set of parameters are identified for describing the trust of a peer. And a trust model based on fuzzy techniques is presented. The trust model uses Amplifier of Malicious Behavior (AMB) to intensify malicious behaviors and helps peers identify...
In this paper, we introduce the concept of witness anonymity for peer-to-peer systems, as well as other systems with the peer-to-peer nature. Witness anonymity combines the seemingly conflicting requirements of anonymity (for honest peers who report on the misbehavior of other peers) and accountability (for malicious peers that attempt to misuse the anonymity feature to slander honest peers). We propose...
Reputation systems have been popular in several online market places involving anonymous players as it can provide crucial information on the trustworthiness of an object or individual player to combat selfish and deceptive behaviors from peers. Individual feedbacks on the quality of past association are the fundamental building blocks of reputation systems. Careful consideration in aggregating feedbacks...
Effectiveness of P2P systems highly depends on efficiency of their search algorithms. With existence of malicious and dishonest nodes, reputation systems are essential to evaluate the trustworthiness of participating peers and to combat subversive peer behaviors. Surprisingly majority of the available reputation systems, ignore the underlying search algorithm and assume it pre-existing. In this paper...
Clustering in ad hoc networks consists in dividing the network into clusters (groups) managed by elected nodes called clusterheads. This technique has been used for different goals as routing efficiency, transmission management and information collection. As far as we know, no existing clustering algorithms have taken into account the existence of malicious nodes for clusterheads election and maintenance...
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.